<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:media="http://search.yahoo.com/mrss/"><channel><title><![CDATA[Kejarpena]]></title><description><![CDATA[Kejarpena]]></description><link>https://blog.kejarcita.id/</link><image><url>https://blog.kejarcita.id/favicon.png</url><title>Kejarpena</title><link>https://blog.kejarcita.id/</link></image><generator>Ghost 4.48</generator><lastBuildDate>Fri, 28 Aug 2026 17:42:14 GMT</lastBuildDate><atom:link href="https://blog.kejarcita.id/rss/" rel="self" type="application/rss+xml"/><ttl>60</ttl><item><title><![CDATA[5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran]]></title><description><![CDATA[Sebelum menentukan strategi pembelajaran, guru perlu memahami terlebih dahulu tujuan yang ingin dicapai]]></description><link>https://blog.kejarcita.id/5-pertanyaan-yang-perlu-dijawab-sebelum-menentukan-strategi-pembelajaran/</link><guid isPermaLink="false">6a8fd1a1d70df340d108706f</guid><category><![CDATA[edukasi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Fri, 28 Aug 2026 02:42:00 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-ron-lach-10643478.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-ron-lach-10643478.jpg" alt="5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran"><p>Strategi pembelajaran berperan penting dalam menentukan bagaimana proses belajar berlangsung di kelas. Strategi yang tepat dapat membantu guru menyampaikan materi dengan lebih terarah sekaligus mendorong siswa untuk terlibat aktif dalam pembelajaran. Namun, setiap kelas memiliki karakteristik, kebutuhan, dan kondisi yang berbeda. Strategi yang berhasil diterapkan pada satu kelas belum tentu memberikan hasil yang sama ketika digunakan pada kelas lainnya. Oleh karena itu, guru perlu mempertimbangkan berbagai aspek sebelum menentukan strategi pembelajaran. Alih-alih sekadar memilih strategi yang sedang populer, guru dapat terlebih dahulu mengajukan beberapa pertanyaan penting untuk memastikan strategi yang dipilih benar-benar sesuai dengan tujuan pembelajaran dan kebutuhan siswa.</p><h2 id="5-pertanyaan-yang-perlu-dijawab-sebelum-menentukan-strategi-pembelajaran">5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran</h2><h3 id="1-apa-tujuan-pembelajaran-yang-ingin-dicapai">1. Apa Tujuan Pembelajaran yang Ingin Dicapai?</h3><p>Sebelum menentukan strategi pembelajaran, guru perlu memahami terlebih dahulu tujuan yang ingin dicapai. <a href="https://blog.kejarcita.id/cara-membantu-siswa-menetapkan-tujuan-belajar-di-awal-tahun/">Tujuan pembelajaran</a> menjadi arah bagi seluruh kegiatan di kelas, mulai dari penyampaian materi, aktivitas siswa, hingga asesmen. Dengan mengetahui tujuan secara jelas, guru dapat memilih strategi yang benar-benar membantu siswa mencapai kompetensi yang diharapkan.</p><p>Misalnya, jika tujuan pembelajaran adalah agar siswa mampu memahami suatu konsep, guru dapat menggunakan strategi yang memberikan kesempatan kepada siswa untuk mengamati contoh, mengeksplorasi materi, bertanya, dan menyimpulkan. Sementara itu, jika tujuan pembelajaran menekankan kemampuan memecahkan masalah, strategi yang melibatkan studi kasus, diskusi, atau problem solving dapat menjadi pilihan.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/10-strategi-pembelajaran-efektif-untuk-meningkatkan-pemahaman-siswa-di-kelas/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">10 Strategi Pembelajaran Efektif untuk Meningkatkan Pemahaman Siswa di Kelas</div><div class="kg-bookmark-description">tujuan utama strategi pembelajaran yaitu untuk menciptakan proses belajar yang lebih terarah, menarik, dan sesuai dengan kebutuhan siswa</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2026/03/pexels-pragyanbezbo-1720186--2-.jpg" alt="5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran"></div></a></figure><p>Begitu pula ketika siswa diharapkan mampu melakukan praktik, membuat produk, atau bekerja sama dengan teman. Strategi yang dipilih perlu memberikan ruang bagi siswa untuk melakukan aktivitas tersebut secara langsung. Jadi, guru tidak sebaiknya memilih strategi hanya karena sedang populer atau banyak digunakan oleh guru lain. Strategi pembelajaran yang tepat adalah strategi yang mendukung tujuan yang ingin dicapai.</p><h3 id="2-bagaimana-karakteristik-dan-kebutuhan-siswa">2. Bagaimana Karakteristik dan Kebutuhan Siswa?</h3><p>Setiap kelas memiliki karakteristik yang berbeda. Bahkan dalam satu kelas, kemampuan, minat, pengalaman, dan cara belajar siswa dapat beragam. Karena itu, guru perlu mempertimbangkan kondisi siswa sebelum menentukan strategi pembelajaran.</p><p>Beberapa hal yang dapat diperhatikan antara lain usia dan jenjang pendidikan, kemampuan awal, tingkat pemahaman materi, minat, motivasi, serta tingkat keaktifan siswa. Guru juga perlu mengetahui apakah siswa sudah terbiasa belajar secara mandiri, berdiskusi, bekerja dalam kelompok, atau menggunakan teknologi dalam pembelajaran.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/481134154_1789340338465718_7491829392094836781_n--1-.jpg" class="kg-image" alt="5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran" loading="lazy" width="1025" height="1860" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/481134154_1789340338465718_7491829392094836781_n--1-.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/481134154_1789340338465718_7491829392094836781_n--1-.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/481134154_1789340338465718_7491829392094836781_n--1-.jpg 1025w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><p>Sebagai contoh, strategi diskusi kelompok dapat berjalan dengan baik pada kelas yang sudah terbiasa bekerja sama. Namun, jika sebagian besar siswa masih pasif dan belum terbiasa menyampaikan pendapat, guru mungkin perlu memberikan arahan, pembagian peran, atau aktivitas sederhana terlebih dahulu.</p><p>Memahami karakteristik siswa membantu guru memilih strategi yang lebih realistis dan sesuai kebutuhan. Dengan begitu, pembelajaran tidak hanya berfokus pada bagaimana materi disampaikan, tetapi juga pada bagaimana siswa dapat memahami dan mengolah materi tersebut dengan cara yang sesuai dengan kondisinya.</p><h3 id="3-bagaimana-kondisi-kelas-dan-fasilitas-yang-tersedia">3. Bagaimana Kondisi Kelas dan Fasilitas yang Tersedia?</h3><p>Strategi pembelajaran yang baik juga perlu disesuaikan dengan kondisi kelas dan fasilitas yang tersedia. Guru mungkin memiliki rancangan pembelajaran yang menarik, tetapi penerapannya dapat menjadi kurang efektif apabila tidak sesuai dengan situasi di lapangan.</p><p>Sebelum memilih strategi, guru dapat mempertimbangkan jumlah siswa, durasi pembelajaran, ukuran ruang kelas, ketersediaan perangkat teknologi, akses internet, serta media dan sumber belajar. Faktor-faktor tersebut dapat memengaruhi jenis aktivitas yang memungkinkan untuk dilakukan.</p><p>Misalnya, kegiatan pembelajaran berbasis teknologi akan membutuhkan perangkat dan akses internet yang memadai. Jika fasilitas tersebut terbatas, guru dapat mencari alternatif dengan menggunakan media sederhana, bahan cetak, atau aktivitas yang tidak bergantung pada perangkat digital.</p><p>Begitu juga dengan jumlah siswa. Aktivitas yang membutuhkan diskusi intensif dalam kelompok kecil mungkin perlu dirancang berbeda ketika diterapkan pada kelas dengan jumlah siswa yang cukup banyak. Dengan mempertimbangkan kondisi tersebut sejak awal, guru dapat memilih strategi pembelajaran yang tidak hanya ideal secara konsep, tetapi juga mudah diterapkan di kelas.</p><h3 id="4-aktivitas-belajar-seperti-apa-yang-paling-sesuai">4. Aktivitas Belajar Seperti Apa yang Paling Sesuai?</h3><p>Setelah memahami tujuan pembelajaran, karakteristik siswa, serta kondisi kelas, guru dapat mulai menentukan aktivitas belajar yang sesuai. Aktivitas ini menjadi bagian penting karena strategi pembelajaran pada akhirnya perlu memberikan pengalaman belajar yang membantu siswa mencapai tujuan.</p><p>Guru dapat memilih berbagai aktivitas, seperti diskusi, tanya jawab, kerja kelompok, demonstrasi, praktik, pemecahan masalah, proyek, eksperimen, hingga pemanfaatan teknologi. Pemilihannya tentu perlu disesuaikan dengan tujuan dan materi yang sedang dipelajari.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/txBoHLspSCQ?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Strategi Pembelajaran Interaktif yang Efektif di Kelas"></iframe></figure><p>Misalnya, materi yang membutuhkan kemampuan berpikir kritis dapat dikembangkan melalui aktivitas analisis kasus atau pemecahan masalah. Sementara itu, materi yang membutuhkan keterampilan praktik akan lebih tepat jika siswa memperoleh kesempatan untuk mencoba secara langsung.</p><p>Yang perlu diperhatikan, aktivitas pembelajaran sebaiknya bukan sekadar dibuat agar kelas terlihat aktif. Setiap kegiatan harus memiliki tujuan yang jelas dan memberikan kontribusi terhadap proses belajar siswa. Aktivitas yang menarik belum tentu efektif jika tidak berkaitan dengan kompetensi yang ingin dicapai.</p><p>Karena itu, guru dapat bertanya kepada diri sendiri: <em>&#x201C;Setelah mengikuti aktivitas ini, kemampuan apa yang akan berkembang pada siswa?&#x201D;</em> Pertanyaan sederhana tersebut dapat membantu guru memilih aktivitas yang lebih bermakna.</p><h3 id="5-bagaimana-cara-mengukur-keberhasilan-strategi-pembelajaran">5. Bagaimana Cara Mengukur Keberhasilan Strategi Pembelajaran?</h3><p>Pertanyaan terakhir yang perlu dijawab adalah bagaimana guru akan mengetahui apakah strategi pembelajaran yang digunakan sudah efektif. Pembelajaran tidak cukup hanya dilihat dari apakah kegiatan berjalan lancar atau siswa terlihat aktif. Guru juga perlu melihat apakah tujuan pembelajaran benar-benar tercapai.</p><p>Untuk mengetahuinya, guru dapat menggunakan berbagai bentuk asesmen atau evaluasi. Misalnya, melalui hasil tugas, pertanyaan selama pembelajaran, kuis, presentasi, praktik, proyek, maupun refleksi siswa. Guru dapat membandingkan hasil tersebut dengan tujuan pembelajaran yang telah ditetapkan sebelumnya.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/7-tips-guru-menerapkan-strategi-belajar-ajel-active-joyful-effective/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">7 Tips Guru Menerapkan Strategi Belajar AJEL (Active, Joyful, &amp; Effective)</div><div class="kg-bookmark-description">Strategi belajar yang baik bisa menumbuhkan semangat belajar pada siswa. Salah satu strategi yang bisa diterapkan ketika proses pembelajaran yaitu strategi AJEL (Active, Joyful, &amp; Effective), yang tepat untuk menumbuhkan daya kreatif anak dengan efektif dan menyenangkan</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Epin Supini</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2021/02/andrew-ebrahim-zRwXf6PizEo-unsplash--1-.jpg" alt="5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran"></div></a></figure><p>Selain hasil belajar, guru juga dapat memperhatikan prosesnya. Apakah siswa mampu mengikuti aktivitas? Apakah mereka memahami instruksi? Apakah siswa mampu bekerja sama? Apakah masih ada materi yang belum dipahami?</p><p>Jika hasil yang diperoleh belum sesuai harapan, bukan berarti pembelajaran sepenuhnya gagal. Guru dapat menjadikannya sebagai bahan evaluasi untuk mengetahui bagian mana yang perlu diperbaiki. Strategi pembelajaran dapat disesuaikan kembali berdasarkan respons dan hasil belajar siswa. Dengan demikian, pemilihan strategi menjadi proses yang terus berkembang, bukan keputusan yang harus selalu sama pada setiap pembelajaran.</p><h3 id="kesimpulan">Kesimpulan:</h3><p>Menentukan strategi pembelajaran tidak cukup hanya dengan memilih metode yang terlihat menarik atau sedang banyak digunakan. Guru perlu mempertimbangkan tujuan pembelajaran, karakteristik dan kebutuhan siswa, kondisi kelas serta fasilitas yang tersedia, aktivitas yang sesuai, hingga cara mengukur keberhasilan pembelajaran. Dengan mempertimbangkan kelima hal tersebut, guru dapat merancang pembelajaran yang lebih terarah, relevan, dan sesuai dengan kondisi siswa. </p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260724-WA0017--2-.jpg" class="kg-image" alt="5 Pertanyaan yang Perlu Dijawab Sebelum Menentukan Strategi Pembelajaran" loading="lazy" width="900" height="1600" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260724-WA0017--2-.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260724-WA0017--2-.jpg 900w" sizes="(min-width: 720px) 720px"><figcaption>pelatihan kejarcita</figcaption></figure><p>Untuk membantu guru memahami dan menerapkan strategi pembelajaran yang lebih efektif, kejarcita juga menyediakan Pelatihan Strategi Penerapan Metode <em>Deep Learning</em> yang dapat membantu guru merancang pembelajaran yang berfokus pada keterlibatan aktif siswa, pemahaman yang lebih mendalam, serta penerapan pengetahuan dalam proses belajar. Dengan strategi yang tepat, guru dapat menciptakan pembelajaran yang tidak hanya membantu siswa memahami materi, tetapi juga mendorong mereka untuk berpikir, bereksplorasi, dan mengembangkan kemampuan secara lebih optimal. Jika Anda membutuhkan pelatihan dengan topik yang sama maupun topik lainnya yang sesuai dengan kebutuhan guru dan sekolah, hubungi admin kejarcita untuk mendapatkan informasi lebih lanjut mengenai pilihan pelatihan yang tersedia.</p>]]></content:encoded></item><item><title><![CDATA[7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya]]></title><description><![CDATA[modul ajar Deep Learning menjadi panduan bagi guru untuk merancang tujuan, aktivitas, asesmen, dan refleksi yang mendukung proses pembelajaran]]></description><link>https://blog.kejarcita.id/7-kesalahan-yang-sering-dilakukan-guru-saat-menyusun-modul-ajar-deep-learning-dan-cara-menghindarinya/</link><guid isPermaLink="false">6a7bd80ad70df340d1086c3c</guid><category><![CDATA[edukasi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Wed, 26 Aug 2026 03:07:00 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-thirdman-8926900.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-thirdman-8926900.jpg" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya"><p>Penerapan <em>Deep Learning</em> atau Pembelajaran Mendalam mendorong guru untuk merancang pembelajaran yang tidak hanya berfokus pada penyampaian materi, tetapi juga membantu siswa memahami konsep secara utuh, menghubungkan pengetahuan dengan kehidupan sehari-hari, serta mampu menerapkannya dalam berbagai situasi. Salah satu hal yang perlu diperhatikan adalah penyusunan modul ajar <em>Deep Learning</em> agar setiap tujuan, aktivitas, dan asesmen benar-benar mendukung proses belajar yang bermakna. Namun, dalam praktiknya, guru masih dapat melakukan beberapa kesalahan, seperti terlalu berfokus pada materi, menggunakan aktivitas yang kurang melibatkan siswa, hingga menyusun asesmen yang hanya mengukur hasil akhir. </p><p>Lantas, apa saja kesalahan yang sering terjadi dan bagaimana cara menghindarinya? Sebelum melihat contoh modul ajar<em> Deep Learning </em>yang dapat dijadikan referensi, guru perlu memahami terlebih dahulu berbagai kesalahan yang perlu dihindari agar modul yang disusun dapat diterapkan secara efektif di kelas.</p><h2 id="apa-yang-dimaksud-dengan-modul-ajar-deep-learning">Apa yang Dimaksud dengan Modul Ajar Deep Learning?</h2><p><em>Deep Learning</em> atau Pembelajaran Mendalam merupakan pendekatan pembelajaran yang mendorong siswa untuk tidak sekadar menghafal materi, tetapi memahami konsep secara lebih utuh, <a href="https://blog.kejarcita.id/contoh-soal-cerita-untuk-meningkatkan-pemahaman-konsep/">menghubungkan pengetahuan dengan pengalaman</a> dan kehidupan sehari-hari, serta menerapkannya dalam berbagai situasi. Pembelajaran ini menekankan proses belajar yang berkesadaran, bermakna, dan menggembirakan sehingga siswa dapat terlibat secara aktif dalam membangun pemahamannya.</p><p>Dalam penerapannya, modul ajar <em>Deep Learning</em> menjadi panduan bagi guru untuk merancang tujuan, aktivitas, asesmen, dan refleksi yang mendukung proses pembelajaran tersebut. Modul tidak harus memiliki format yang rumit atau seragam, tetapi perlu disusun sesuai tujuan pembelajaran, karakteristik dan kebutuhan siswa, materi, serta kondisi kelas. Dengan perencanaan yang tepat, modul ajar dapat membantu guru menciptakan pengalaman belajar yang membuat siswa memahami materi, mampu mengaitkannya dengan kehidupan nyata, dan merefleksikan proses belajarnya.</p><h2 id="7-kesalahan-yang-sering-dilakukan-guru-saat-menyusun-modul-ajar-deep-learning">7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar <em>Deep Learning</em></h2><h3 id="1-menyusun-modul-ajar-hanya-berfokus-pada-materi">1. Menyusun Modul Ajar Hanya Berfokus pada Materi</h3><p>Salah satu kesalahan yang sering terjadi adalah guru terlalu berfokus pada banyaknya materi yang harus diselesaikan. Modul ajar akhirnya lebih banyak berisi rangkuman materi, penjelasan konsep, dan tugas untuk mengukur apakah siswa sudah memahami materi tersebut. Padahal, pemahaman mendalam tidak hanya bertujuan membuat siswa mengetahui atau menghafal informasi, tetapi membantu siswa memahami konsep secara lebih utuh dan mampu menggunakannya dalam berbagai situasi.</p><p>Jika modul terlalu berorientasi pada penyelesaian materi, siswa dapat merasa bahwa pembelajaran hanya bertujuan mengejar target kurikulum. Guru dapat menghindarinya dengan menentukan terlebih dahulu pemahaman utama yang ingin diperoleh siswa. Setelah itu, materi dan aktivitas dipilih berdasarkan kebutuhan untuk mencapai pemahaman tersebut. Misalnya, pada materi energi, siswa tidak hanya diminta menghafalkan jenis-jenis energi, tetapi dapat diajak mengamati penggunaan energi di sekolah, mengidentifikasi pemborosan energi, kemudian menyusun solusi sederhana untuk menghemat energi.</p><h3 id="2-tujuan-pembelajaran-tidak-mengarah-pada-pemahaman-mendalam">2. Tujuan Pembelajaran Tidak Mengarah pada Pemahaman Mendalam</h3><p>Tujuan pembelajaran menjadi dasar dalam menentukan kegiatan dan asesmen. Namun, kesalahan yang masih dapat ditemukan adalah tujuan pembelajaran yang terlalu umum atau hanya menekankan kemampuan mengingat informasi. Contohnya, tujuan seperti &#x201C;siswa mengetahui penyebab perubahan iklim&#x201D; belum cukup menggambarkan kemampuan yang perlu dikembangkan melalui pemahaman mendalam.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/cara-merumuskan-tujuan-pembelajaran-yang-baik/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Cara Merumuskan Tujuan Pembelajaran yang Baik</div><div class="kg-bookmark-description">Tujuan pembelajaran harus sesuai dengan Kompetensi Dasar (KD) nya, menggunakan kata kerja operasional serta satu perilaku yang diukur. Tujuan pembelajaran digunakan untuk mengetahui pencapaian siswa.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Epin Supini</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2021/07/Tujuan-Pembelajaran.jpg" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya"></div></a></figure><p>Guru dapat menyusun tujuan yang menunjukkan kemampuan siswa dalam memahami, menganalisis, menerapkan, mengevaluasi, atau menghasilkan sesuatu berdasarkan pengetahuan yang dipelajari. Tujuan tersebut juga perlu disesuaikan dengan kondisi dan kemampuan siswa agar tetap realistis untuk dicapai. Misalnya, tujuan dapat diubah menjadi <em>&#x201C;siswa mampu menganalisis penyebab perubahan iklim di lingkungan sekitar dan mengusulkan tindakan sederhana untuk mengurangi dampaknya.&#x201D;</em> Dengan tujuan seperti ini, guru akan lebih mudah menentukan aktivitas pembelajaran dan bentuk asesmen yang relevan.</p><h3 id="3-aktivitas-pembelajaran-kurang-melibatkan-siswa">3. Aktivitas Pembelajaran Kurang Melibatkan Siswa</h3><p>Modul ajar <em>Deep Learning</em> seharusnya memberikan ruang yang cukup bagi siswa untuk aktif dalam proses pembelajaran. Sayangnya, modul terkadang masih didominasi oleh kegiatan seperti guru menjelaskan materi, siswa mencatat, kemudian mengerjakan soal. Pola tersebut memang dapat digunakan dalam pembelajaran, tetapi jika terlalu dominan, kesempatan siswa untuk mengeksplorasi, berdiskusi, mencoba, dan menemukan pemahaman sendiri menjadi terbatas.</p><p>Untuk menghindari kesalahan ini, guru dapat memasukkan aktivitas yang mendorong siswa berpartisipasi secara aktif. Misalnya melalui diskusi kelompok, studi kasus, eksperimen, proyek, pemecahan masalah, presentasi, atau kegiatan investigasi sederhana. Aktivitas tidak harus selalu menggunakan metode yang rumit. Pertanyaan pemantik yang tepat dan masalah yang dekat dengan kehidupan siswa juga dapat menjadi awal yang baik untuk mendorong mereka berpikir lebih mendalam.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/508862832_1286432516817392_1355246574449527541_n.jpg" class="kg-image" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/508862832_1286432516817392_1355246574449527541_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/508862832_1286432516817392_1355246574449527541_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/508862832_1286432516817392_1355246574449527541_n.jpg 1128w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><h3 id="4-konteks-pembelajaran-tidak-dekat-dengan-kehidupan-siswa">4. Konteks Pembelajaran Tidak Dekat dengan Kehidupan Siswa</h3><p>Materi yang disampaikan tanpa konteks sering kali membuat siswa kesulitan memahami mengapa mereka perlu mempelajarinya. Mereka mungkin dapat menjawab soal berdasarkan teori, tetapi belum tentu mampu menghubungkan pengetahuan tersebut dengan situasi yang mereka temui sehari-hari. Padahal, salah satu hal penting dalam pembelajaran mendalam adalah membantu siswa menghubungkan pengetahuan baru dengan pengalaman dan situasi nyata.</p><p>Karena itu, guru sebaiknya memasukkan konteks yang dekat dengan kehidupan siswa ketika menyusun modul ajar. Konteks tersebut dapat berasal dari lingkungan sekolah, keluarga, masyarakat, teknologi, atau permasalahan yang sedang mereka hadapi. Misalnya, pada materi matematika tentang persentase, guru dapat menggunakan contoh diskon saat berbelanja, pengelolaan uang saku, atau perhitungan tabungan. Dengan cara tersebut, siswa dapat melihat bahwa konsep yang dipelajari bukan sekadar teori, tetapi dapat digunakan untuk memahami dan menyelesaikan masalah dalam kehidupan sehari-hari.</p><h3 id="5-asesmen-hanya-mengukur-hasil-akhir">5. Asesmen Hanya Mengukur Hasil Akhir</h3><p>Kesalahan berikutnya adalah menggunakan asesmen hanya untuk mengetahui hasil belajar di akhir pembelajaran. Guru mungkin memberikan tes tertulis setelah materi selesai, tetapi tidak memberikan kesempatan untuk mengetahui pemahaman awal siswa, perkembangan mereka selama proses belajar, atau kesulitan yang muncul ketika mengerjakan aktivitas.</p><p>Padahal, asesmen dapat menjadi bagian dari proses pembelajaran, bukan hanya alat untuk memberikan nilai. Guru dapat menggunakan asesmen awal untuk mengetahui pengetahuan yang sudah dimiliki siswa, kemudian melakukan observasi selama diskusi atau kegiatan berlangsung. Penilaian juga dapat dilakukan melalui tugas, proyek, presentasi, jurnal refleksi, maupun tes sesuai kebutuhan. Yang terpenting, bentuk asesmen harus selaras dengan tujuan pembelajaran. Jika tujuan meminta siswa mampu memecahkan masalah, misalnya, asesmen sebaiknya tidak hanya berupa soal pilihan ganda, tetapi juga dapat memberikan kesempatan kepada siswa untuk menjelaskan proses berpikir dan solusi yang mereka buat.</p><h3 id="6-tidak-menyediakan-ruang-untuk-refleksi-siswa">6. Tidak Menyediakan Ruang untuk Refleksi Siswa</h3><p>Setelah kegiatan pembelajaran dan asesmen selesai, guru terkadang langsung melanjutkan ke materi berikutnya. Padahal, siswa membutuhkan waktu untuk melihat kembali apa yang sudah dipelajari, bagian yang masih membingungkan, serta bagaimana pengetahuan tersebut dapat diterapkan. Refleksi membantu siswa menyadari proses belajarnya sehingga pembelajaran tidak berhenti pada menyelesaikan tugas.</p><p>Guru dapat menambahkan kegiatan refleksi sederhana di bagian akhir modul ajar. Tidak perlu membuat aktivitas yang panjang. Beberapa pertanyaan sederhana sudah cukup untuk membantu siswa berpikir kembali tentang proses belajarnya. Misalnya, <em>&#x201C;Apa hal baru yang kamu pahami hari ini?&#x201D;</em>, <em>&#x201C;Bagian mana yang masih sulit kamu pahami?&#x201D;,</em> atau<em> &#x201C;Bagaimana pengetahuan yang kamu dapatkan hari ini dapat digunakan dalam kehidupan sehari-hari?&#x201D; </em>Jawaban siswa juga dapat menjadi informasi bagi guru untuk menentukan tindak lanjut pada pembelajaran berikutnya.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/w7LJ4oTPJl0?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="8 Strategi Refleksi Siswa yang Menarik dan Mudah untuk Diterapkan di Kelas"></iframe></figure><h3 id="7-modul-ajar-terlalu-rumit-dan-sulit-diterapkan">7. Modul Ajar Terlalu Rumit dan Sulit Diterapkan</h3><p>Kesalahan terakhir adalah menganggap bahwa modul ajar yang baik harus memiliki banyak aktivitas, metode, media, dan instrumen asesmen. Akibatnya, modul menjadi sangat panjang dan terlihat lengkap, tetapi justru sulit diterapkan di kelas. Guru dapat kesulitan mengatur waktu, siswa terlalu banyak berpindah aktivitas, atau kegiatan yang dirancang tidak sesuai dengan fasilitas yang tersedia di sekolah.</p><p>Modul ajar <em>Deep Learning </em>sebaiknya dibuat realistis, fleksibel, dan sesuai dengan kondisi kelas. Guru tidak perlu memasukkan terlalu banyak aktivitas jika semuanya tidak mendukung tujuan pembelajaran. Pilih kegiatan yang benar-benar membantu siswa memahami materi secara mendalam dan dapat dilakukan dengan sumber daya yang tersedia. Dengan begitu, modul tidak hanya terlihat baik secara dokumen, tetapi juga benar-benar dapat digunakan sebagai panduan pembelajaran di kelas.</p><h2 id="cara-membuat-modul-ajar-deep-learning-yang-lebih-efektif">Cara Membuat Modul Ajar Deep Learning yang Lebih Efektif</h2><h3 id="1-tentukan-tujuan-dan-pemahaman-utama">1. Tentukan Tujuan dan Pemahaman Utama</h3><p>Mulailah dengan menentukan kemampuan dan pemahaman apa yang diharapkan dimiliki siswa setelah pembelajaran selesai. Tujuan sebaiknya tidak hanya berfokus pada kemampuan mengingat materi, tetapi juga mendorong siswa untuk memahami, menganalisis, menerapkan, atau memecahkan masalah. Dengan tujuan yang jelas, guru akan lebih mudah menentukan aktivitas dan asesmen yang sesuai.</p><h3 id="2-kenali-karakteristik-dan-kebutuhan-siswa">2. Kenali Karakteristik dan Kebutuhan Siswa</h3><p>Modul ajar perlu disesuaikan dengan kondisi siswa, termasuk kemampuan awal, minat, pengalaman, serta kebutuhan belajarnya. Guru dapat menggunakan hasil asesmen awal untuk mengetahui sejauh mana pemahaman siswa sebelum pembelajaran dimulai. Informasi tersebut dapat menjadi dasar untuk menentukan tingkat kesulitan materi, bentuk aktivitas, maupun dukungan yang perlu diberikan kepada siswa.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/499475572_1261703285956982_6817474858148053624_n.jpg" class="kg-image" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/499475572_1261703285956982_6817474858148053624_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/499475572_1261703285956982_6817474858148053624_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/499475572_1261703285956982_6817474858148053624_n.jpg 1128w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><h3 id="3-pilih-konteks-yang-dekat-dengan-kehidupan-siswa">3. Pilih Konteks yang Dekat dengan Kehidupan Siswa</h3><p>Pembelajaran akan lebih bermakna ketika siswa dapat melihat hubungan antara materi yang dipelajari dengan kehidupan sehari-hari. Karena itu, guru dapat memasukkan masalah, fenomena, atau situasi yang dekat dengan lingkungan siswa ke dalam modul ajar. Misalnya, materi tentang pencemaran lingkungan dapat dikaitkan dengan kondisi kebersihan di sekitar sekolah agar siswa tidak hanya memahami konsep, tetapi juga mampu melihat penerapannya.</p><h3 id="4-rancang-aktivitas-yang-aktif-dan-bermakna">4. Rancang Aktivitas yang Aktif dan Bermakna</h3><p>Hindari membuat modul yang seluruh kegiatannya berpusat pada penjelasan guru. Berikan kesempatan kepada siswa untuk berdiskusi, melakukan eksperimen, mengamati, mencari informasi, mengerjakan proyek, atau memecahkan masalah. Aktivitas tersebut dapat membantu siswa membangun pemahamannya melalui pengalaman belajar secara langsung, bukan sekadar menerima informasi dari guru.</p><h3 id="5-siapkan-asesmen-yang-sesuai">5. Siapkan Asesmen yang Sesuai</h3><p>Asesmen perlu dirancang berdasarkan tujuan pembelajaran dan aktivitas yang dilakukan siswa. Guru dapat menggunakan berbagai bentuk asesmen, seperti pertanyaan pemantik, observasi, tugas, proyek, presentasi, kuis, maupun tes. Dengan asesmen yang beragam, guru tidak hanya mengetahui hasil akhir belajar, tetapi juga dapat melihat proses dan perkembangan pemahaman siswa selama pembelajaran.</p><h3 id="6-tambahkan-kegiatan-refleksi">6. Tambahkan Kegiatan Refleksi</h3><p>Refleksi menjadi bagian penting untuk membantu siswa menyadari apa yang telah dipelajari dan bagaimana proses belajarnya. Guru dapat memberikan pertanyaan sederhana seperti, &#x201C;Apa hal baru yang kamu pahami hari ini?&#x201D; atau &#x201C;Bagaimana materi ini dapat diterapkan dalam kehidupan sehari-hari?&#x201D; Hasil refleksi juga dapat membantu guru mengetahui bagian pembelajaran yang masih perlu diperbaiki atau diperdalam.</p><h3 id="7-pastikan-modul-fleksibel-dan-mudah-diterapkan">7. Pastikan Modul Fleksibel dan Mudah Diterapkan</h3><p>Modul ajar tidak harus dibuat sangat panjang dan penuh dengan aktivitas. Yang terpenting, setiap kegiatan memiliki tujuan yang jelas dan realistis untuk dilakukan sesuai kondisi kelas. Guru perlu mempertimbangkan waktu, fasilitas, jumlah siswa, serta sumber belajar yang tersedia. Modul yang sederhana, fleksibel, dan mudah disesuaikan justru akan lebih membantu guru menerapkan Pembelajaran Mendalam secara konsisten.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/pendekatan-deep-learning-strategi-guru-membentuk-siswa-kritis-dan-kreatif/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Pendekatan Deep Learning: Strategi Guru Membentuk Siswa Kritis dan Kreatif</div><div class="kg-bookmark-description">Deep learning berfokus pada pengembangan keterampilan berpikir tingkat tinggi seperti analisis, evaluasi, dan penciptaan ide baru</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2026/02/pexels-rdne-6936328.jpg" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya"></div></a></figure><h3 id="kesimpulan">Kesimpulan:</h3><p>Menyusun modul ajar <em>Deep Learning</em> tidak harus panjang dan rumit, tetapi perlu memastikan tujuan pembelajaran, aktivitas, asesmen, dan refleksi saling terhubung untuk menciptakan pembelajaran yang berkesadaran, bermakna, dan menggembirakan. Guru juga perlu menghindari berbagai kesalahan dalam penyusunan modul ajar serta menyesuaikan isi, format, dan kegiatan pembelajaran dengan kebutuhan siswa dan kondisi kelas. Dengan perencanaan yang tepat, modul ajar dapat menjadi panduan yang membantu guru menciptakan pengalaman belajar yang lebih relevan dan mendalam bagi siswa.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260314-WA0014--1-.jpg" class="kg-image" alt="7 Kesalahan yang Sering Dilakukan Guru Saat Menyusun Modul Ajar Deep Learning dan Cara Menghindarinya" loading="lazy" width="900" height="1600" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260314-WA0014--1-.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260314-WA0014--1-.jpg 900w" sizes="(min-width: 720px) 720px"></figure><p>Untuk membantu guru menyusun modul ajar <em>Deep Learning</em> yang sesuai dengan prinsip Pembelajaran Mendalam, kejarcita menyediakan Pelatihan Membuat Modul Ajar Berbasis <em>Deep Learning </em>yang dapat membantu guru memahami langkah-langkah penyusunan modul sekaligus menerapkannya dalam perencanaan pembelajaran. Jika sekolah atau guru membutuhkan pelatihan serupa maupun jenis pelatihan lainnya yang sesuai dengan kebutuhan sekolah, silakan hubungi admin kejarcita untuk mendapatkan informasi lebih lanjut mengenai program pelatihan yang tersedia.</p>]]></content:encoded></item><item><title><![CDATA[7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri]]></title><description><![CDATA[Hasil TKA dapat menjadi informasi tentang kemampuan akademik siswa dan dapat dimanfaatkan dalam proses seleksi pendidikan ke jenjang berikutnya]]></description><link>https://blog.kejarcita.id/7-tips-menghadapi-tka-sma-2026-agar-lebih-siap-dan-percaya-diri/</link><guid isPermaLink="false">6a754c03d70df340d1086ba6</guid><category><![CDATA[edukasi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Mon, 24 Aug 2026 05:58:31 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-karola-g-5852304.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-karola-g-5852304.jpg" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri"><p>Menjelang pelaksanaan TKA SMA 2026, guru memiliki peran penting dalam membantu siswa mempersiapkan diri menghadapi tes. Persiapan tersebut tidak cukup dilakukan dengan memberikan latihan soal secara rutin, tetapi juga perlu diawali dengan memastikan siswa memahami materi yang akan diujikan. Dengan memahami cakupan materi TKA SMA, guru dapat menentukan bagian yang perlu diperkuat dan menyesuaikan kegiatan pembelajaran dengan kebutuhan siswa.</p><p>Persiapan yang dilakukan secara terarah juga dapat membantu siswa lebih siap dan percaya diri ketika menghadapi TKA. Guru dapat memulai dengan memetakan kemampuan siswa, memilih sumber belajar yang sesuai, memberikan latihan secara bertahap, hingga melakukan evaluasi terhadap hasil belajar. Lantas, apa saja materi TKA SMA yang perlu dipersiapkan dan bagaimana cara guru membantu siswa menghadapinya? Simak tujuh tips berikut.</p><h2 id="mengenal-tka-sma-2026">Mengenal TKA SMA 2026</h2><p><a href="https://blog.kejarcita.id/tes-kemampuan-akademik-pengertian-contoh-soal-dan-materi-yang-harus-dikuasai/">Tes Kemampuan Akademik </a>(TKA) merupakan tes yang digunakan untuk mengukur capaian akademik siswa pada mata pelajaran tertentu. Pada jenjang SMA/MA/sederajat, TKA terdiri atas tiga mata pelajaran wajib, yaitu Bahasa Indonesia, Matematika, dan Bahasa Inggris, serta dua mata pelajaran pilihan yang disesuaikan dengan ketentuan yang berlaku. Oleh karena itu, guru perlu memahami cakupan mata pelajaran dan materi yang akan dihadapi siswa agar dapat memberikan persiapan yang sesuai.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/759824178_1663204885806818_5297506478402486439_n.jpg" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1087" height="1350" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/759824178_1663204885806818_5297506478402486439_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/759824178_1663204885806818_5297506478402486439_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/759824178_1663204885806818_5297506478402486439_n.jpg 1087w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><p>Hasil TKA dapat menjadi salah satu informasi mengenai kemampuan akademik siswa dan dapat dimanfaatkan dalam proses seleksi pendidikan ke jenjang berikutnya. Karena itu, persiapan TKA sebaiknya tidak hanya dilakukan dengan memberikan latihan soal menjelang tes. Guru dapat membantu siswa sejak awal dengan memetakan penguasaan materi, memberikan penguatan pada konsep yang belum dipahami, serta menyediakan latihan secara bertahap. Dengan persiapan yang terarah, siswa dapat lebih siap menghadapi TKA sekaligus lebih percaya diri dengan kemampuan yang dimilikinya.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145054.png" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1919" height="940" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/Screenshot-2026-08-20-145054.png 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/Screenshot-2026-08-20-145054.png 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/Screenshot-2026-08-20-145054.png 1600w, https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145054.png 1919w" sizes="(min-width: 720px) 720px"></figure><h2 id="materi-tka-sma-yang-perlu-dipelajari">Materi TKA SMA yang Perlu Dipelajari</h2><h3 id="1-materi-tka-matematika">1. Materi TKA Matematika</h3><p>TKA Matematika mengukur kemampuan siswa dalam memahami konsep dan menerapkannya untuk menyelesaikan berbagai permasalahan matematika. Salah satu bentuk soal yang dapat muncul adalah menganalisis grafik fungsi dan menentukan apakah suatu pernyataan benar atau salah berdasarkan informasi pada grafik. </p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145300.png" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1919" height="944" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/Screenshot-2026-08-20-145300.png 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/Screenshot-2026-08-20-145300.png 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/Screenshot-2026-08-20-145300.png 1600w, https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145300.png 1919w" sizes="(min-width: 720px) 720px"><figcaption>contoh soal TKA - LMS kejarcita</figcaption></figure><p>Dalam soal seperti ini, siswa perlu mengidentifikasi hubungan antara variabel, serta menggunakan informasi yang tersedia untuk mengevaluasi setiap pernyataan. Materi TKA Matematika mencakup bilangan, aljabar, geometri dan pengukuran, data dan peluang, serta trigonometri. Oleh karena itu, siswa perlu terbiasa memahami informasi dalam berbagai bentuk, termasuk grafik, tabel, maupun pernyataan, bukan hanya menghafalkan rumus.</p><h3 id="2-materi-tka-bahasa-inggris">2. Materi TKA Bahasa Inggris</h3><p>TKA Bahasa Inggris berfokus pada kemampuan siswa dalam membaca, memahami, dan menganalisis berbagai teks berbahasa Inggris. Salah satu bentuk soal yang dapat muncul seperti teks bertema &#x201C;Exploring Bali Natural Wonders&#x201D; yang terdapat di dalam soal TKA Bahasa Inggris kejarcita. Melalui soal seperti ini, siswa perlu memahami informasi dalam teks, mengidentifikasi pernyataan yang sesuai, menemukan informasi tersurat maupun tersirat, serta menghubungkan beberapa informasi untuk menentukan jawaban yang tepat. Kemampuan yang diukur tidak hanya sebatas penguasaan kosakata, tetapi juga pemahaman tekstual, pemahaman inferensial, serta kemampuan mengevaluasi informasi yang terdapat dalam teks.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145119.png" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1919" height="947" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/Screenshot-2026-08-20-145119.png 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/Screenshot-2026-08-20-145119.png 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/Screenshot-2026-08-20-145119.png 1600w, https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145119.png 1919w" sizes="(min-width: 720px) 720px"><figcaption>contoh soal TKA - LMS kejarcita</figcaption></figure><p>Dalam mempersiapkan siswa, guru dapat membiasakan mereka membaca teks secara menyeluruh, menemukan informasi penting, menentukan gagasan utama, memahami makna informasi berdasarkan konteks, serta menarik kesimpulan dari beberapa informasi dalam teks. Karena menggunakan pilihan ganda kompleks, siswa juga perlu teliti dalam memeriksa setiap opsi dan menentukan lebih dari satu pernyataan yang sesuai dengan isi bacaan. Dengan demikian, latihan TKA Bahasa Inggris dapat membantu siswa mengembangkan kemampuan membaca dan bernalar dalam memahami teks, bukan hanya menghafalkan kosakata atau tata bahasa.</p><h3 id="3-materi-tka-bahasa-indonesia">3. Materi TKA Bahasa Indonesia</h3><p>TKA Bahasa Indonesia mengukur kemampuan siswa dalam memahami dan mengolah informasi dari berbagai teks. Siswa perlu terbiasa membaca teks secara cermat, menemukan informasi penting, memahami gagasan utama, menarik kesimpulan, serta mengevaluasi informasi dan gagasan yang disampaikan dalam teks.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145206.png" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1919" height="939" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/Screenshot-2026-08-20-145206.png 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/Screenshot-2026-08-20-145206.png 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/Screenshot-2026-08-20-145206.png 1600w, https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145206.png 1919w" sizes="(min-width: 720px) 720px"><figcaption>contoh soal TKA - LMS kejarcita</figcaption></figure><p>Untuk mempersiapkan TKA, guru dapat memberikan latihan membaca berbagai jenis teks dan mengajak siswa mengidentifikasi informasi tersurat maupun tersirat. Siswa juga dapat dilatih membuat kerangka, merangkum informasi, memahami hubungan antargagasan, membandingkan informasi, serta menilai ketepatan atau relevansi suatu gagasan. Dengan latihan tersebut, siswa tidak hanya membaca untuk menemukan jawaban, tetapi juga belajar memahami informasi secara lebih kritis.</p><h3 id="4-materi-tka-mata-pelajaran-pilihan">4. Materi TKA Mata Pelajaran Pilihan</h3><p>Selain tiga mata pelajaran wajib, siswa SMA/MA/SMK/sederajat memilih dua mata pelajaran pilihan. Pilihan tersebut perlu disesuaikan dengan minat siswa dan rencana studi lanjut. Daftar mata pelajaran pilihan yang tersedia mencakup antara lain Matematika Tingkat Lanjut, Bahasa Indonesia Tingkat Lanjut, Bahasa Inggris Tingkat Lanjut, Fisika, Kimia, Biologi, Ekonomi, Geografi, Sosiologi, Sejarah, Antropologi, serta beberapa mata pelajaran bahasa asing dan mata pelajaran kejuruan untuk SMK.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145551.png" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1919" height="940" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/Screenshot-2026-08-20-145551.png 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/Screenshot-2026-08-20-145551.png 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/Screenshot-2026-08-20-145551.png 1600w, https://blog.kejarcita.id/content/images/2026/08/Screenshot-2026-08-20-145551.png 1919w" sizes="(min-width: 720px) 720px"><figcaption>contoh soal TKA - LMS kejarcita</figcaption></figure><p>Sebagai contoh, pada mata pelajaran Fisika, siswa dapat menghadapi soal yang menguji pemahaman konsep listrik dan penerapannya dalam menyelesaikan permasalahan. Siswa tidak hanya perlu menghafalkan rumus, tetapi juga memahami besaran-besaran listrik, hubungan antarbesaran, serta mampu menentukan langkah penyelesaian berdasarkan informasi yang diberikan dalam soal. Karena setiap siswa dapat memilih mata pelajaran yang berbeda, guru dapat membantu mengarahkan persiapan sesuai dengan mata pelajaran pilihan masing-masing. Latihan juga sebaiknya mengacu pada kerangka asesmen dan kompetensi mata pelajaran agar siswa terbiasa menghadapi bentuk soal yang sesuai dengan materi TKA.</p><h2 id="7-tips-bagi-guru-untuk-membantu-siswa-menghadapi-tka-sma-2026">7 Tips bagi Guru untuk Membantu Siswa Menghadapi TKA SMA 2026</h2><h3 id="1-petakan-penguasaan-materi-siswa">1. Petakan Penguasaan Materi Siswa</h3><p>Sebelum memberikan banyak latihan soal, guru perlu mengetahui sejauh mana penguasaan siswa terhadap materi yang akan diujikan. Pemetaan dapat dilakukan melalui kuis singkat, latihan soal, atau asesmen awal untuk mengetahui materi yang sudah dikuasai dan bagian yang masih menjadi kesulitan. Hasilnya dapat digunakan guru untuk menentukan materi yang perlu diperkuat. Dengan cara ini, pembelajaran menjadi lebih terarah karena guru tidak perlu mengulang seluruh materi, tetapi dapat memberikan perhatian lebih pada konsep yang memang belum dipahami siswa.</p><h3 id="2-sesuaikan-pembelajaran-dengan-materi-tka">2. Sesuaikan Pembelajaran dengan Materi TKA</h3><p>Guru dapat menyesuaikan kegiatan pembelajaran dengan kemampuan yang dibutuhkan dalam TKA tanpa harus mengubah pembelajaran sepenuhnya menjadi latihan soal. Misalnya, ketika mengajarkan Matematika, guru dapat memberikan permasalahan yang mendorong siswa menerapkan konsep dalam situasi tertentu. </p><p>Pada Bahasa Indonesia dan Bahasa Inggris, guru dapat membiasakan siswa membaca teks, menemukan informasi penting, memahami makna, dan menarik kesimpulan. Dengan pembelajaran seperti ini, siswa tidak hanya menghafal materi, tetapi juga terbiasa menggunakannya untuk menyelesaikan masalah.</p><h3 id="3-gunakan-materi-tka-yang-terstruktur">3. Gunakan Materi TKA yang Terstruktur</h3><p>Guru juga perlu memilih sumber belajar yang dapat membantu siswa mempelajari materi secara sistematis. Materi yang terstruktur membuat siswa lebih mudah mengetahui topik apa yang harus dipelajari dan bagian mana yang masih perlu diperkuat. Guru dapat menggunakan materi TKA SMA kejarcita sebagai salah satu sumber pendamping pembelajaran. Materi tersebut dapat dimanfaatkan untuk membantu siswa mempelajari kembali konsep secara mandiri maupun sebagai bahan yang digunakan guru dalam memberikan penguatan materi di kelas.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/image-6.png" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1918" height="934" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/image-6.png 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/image-6.png 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/image-6.png 1600w, https://blog.kejarcita.id/content/images/2026/08/image-6.png 1918w" sizes="(min-width: 720px) 720px"></figure><h3 id="4-berikan-latihan-soal-secara-bertahap">4. Berikan Latihan Soal Secara Bertahap</h3><p>Latihan soal sebaiknya diberikan secara bertahap sesuai dengan kemampuan siswa. Guru dapat memulainya dengan soal yang menguji pemahaman konsep, kemudian dilanjutkan dengan soal yang membutuhkan penerapan dan penalaran. Setelah siswa mulai terbiasa, guru dapat memberikan latihan dengan tingkat kesulitan yang lebih beragam. Selain membantu mengukur pemahaman, latihan yang dilakukan secara rutin juga membuat siswa semakin terbiasa membaca soal, mengatur waktu, dan menentukan strategi untuk mendapatkan jawaban.</p><h3 id="5-bahas-kesalahan-siswa-bukan-hanya-jawabannya">5. Bahas Kesalahan Siswa, Bukan Hanya Jawabannya</h3><p>Setelah latihan selesai, guru sebaiknya tidak hanya memberikan kunci jawaban. Kesalahan siswa dapat menjadi bahan evaluasi untuk mengetahui konsep yang belum dipahami. Ajak siswa membahas alasan mengapa jawabannya kurang tepat dan bagaimana cara menemukan jawaban yang benar. Misalnya, jika banyak siswa salah memahami informasi dalam sebuah teks, guru dapat kembali melatih kemampuan menemukan informasi dan menarik kesimpulan. Pembahasan seperti ini membuat latihan soal menjadi bagian dari proses belajar, bukan hanya kegiatan untuk mendapatkan nilai.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/idLz0N1O9VE?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Bagaimana Cara Memberikan Umpan Balik yang Efektif pada Siswa?"></iframe></figure><h3 id="6-lakukan-evaluasi-secara-berkala">6. Lakukan Evaluasi Secara Berkala</h3><p>Persiapan TKA perlu dipantau secara berkala agar guru mengetahui perkembangan kemampuan siswa. Evaluasi dapat dilakukan setelah menyelesaikan beberapa materi atau dalam periode tertentu melalui kuis dan latihan soal. Guru dapat membandingkan hasil evaluasi untuk melihat materi yang sudah mengalami peningkatan dan materi yang masih menjadi kendala. Jika hasilnya menunjukkan banyak siswa masih kesulitan pada topik tertentu, guru dapat memberikan penguatan atau latihan tambahan sebelum melanjutkan ke materi berikutnya.</p><h3 id="7-bangun-kepercayaan-diri-siswa">7. Bangun Kepercayaan Diri Siswa</h3><p>Persiapan TKA bukan hanya berkaitan dengan kemampuan akademik, tetapi juga kesiapan siswa dalam menghadapi tes. Guru dapat membantu membangun kepercayaan diri dengan memberikan target belajar yang realistis, mengapresiasi perkembangan siswa, dan memberikan umpan balik yang membangun. </p><p>Hindari membuat siswa merasa bahwa TKA hanya tentang mendapatkan nilai tinggi. Sebaliknya, bantu mereka memahami bahwa kemampuan dapat berkembang melalui latihan dan proses belajar yang konsisten. Dengan dukungan tersebut, siswa diharapkan dapat menghadapi TKA dengan persiapan yang lebih matang dan percaya diri.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/strategi-persiapan-tka-untuk-siswa-agar-raih-nilai-maksimal/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Strategi Persiapan TKA untuk Siswa agar Raih Nilai Maksimal</div><div class="kg-bookmark-description">TKA merupakan evaluasi untuk mengukur tingkat penguasaan siswa terhadap materi pembelajaran sesuai dengan jenjang pendidikan yang ditempuh</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2026/02/1000096117.jpg" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri"></div></a></figure><h3 id="kesimpulan">Kesimpulan:</h3><p>Persiapan TKA SMA 2026 perlu dilakukan secara terarah, bukan hanya melalui latihan soal, tetapi juga dengan memastikan siswa memahami materi, terbiasa bernalar, dan percaya diri menghadapi tes. Guru dapat memulainya dengan memetakan kemampuan siswa, menggunakan materi yang terstruktur, memberikan latihan bertahap, membahas kesalahan, serta melakukan evaluasi secara berkala. Materi TKA SMA dari kejarcita dapat menjadi salah satu sumber pendamping untuk membantu guru dan siswa dalam proses persiapan belajar. </p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260724-WA0003-1-.jpg" class="kg-image" alt="7 Tips Menghadapi TKA SMA 2026 agar Lebih Siap dan Percaya Diri" loading="lazy" width="1620" height="2880" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260724-WA0003-1-.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/IMG-20260724-WA0003-1-.jpg 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/IMG-20260724-WA0003-1-.jpg 1600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260724-WA0003-1-.jpg 1620w" sizes="(min-width: 720px) 720px"><figcaption>pelatihan kejarcita</figcaption></figure><p>Untuk membantu siswa agar lebih siap menghadapi TKA SMA, kejarcita menyediakan Pelatihan Guru Pembuatan Soal TKA. Pelatihan ini dapat membantu guru memahami prinsip dan proses penyusunan soal yang sesuai dengan kompetensi yang perlu diukur. Selain pelatihan guru, kejarcita juga menyediakan program TO TKA untuk mempersiapkan siswa menghadapi TKA menjadi lebih mudah, terarah, dan berbasis data. Dengan persiapan yang tepat sejak awal, guru dapat mendampingi siswa menghadapi TKA dengan lebih percaya diri dan terukur. Bapak/Ibu guru atau sekolah yang ingin mengetahui informasi lebih lanjut mengenai program tersebut dapat menghubungi admin Kejarcita di 0819-7388-8808.</p>]]></content:encoded></item><item><title><![CDATA[Sekolah Bukan Hanya Sekadar Tempat Belajar. Sudahkah Menjadi Tempat yang Aman & Nyaman Bagi Setiap Murid?]]></title><description><![CDATA[<p>Membangun sekolah yang aman dan nyaman bukan hanya tentang menangani masalah ketika terjadi. Sekolah juga perlu memiliki pemahaman dan langkah yang tepat untuk mencegahnya sejak awal. </p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/771808612_1677299021064071_5775155391483414465_n.jpg" class="kg-image" alt loading="lazy" width="470" height="590"></figure><p>kejarcita menghadirkan e-book GRATIS untuk membantu kepala sekolah dan Gurucita mulai memahami implementasi Budaya Sekolah Aman dan Nyaman (BSAN). Jadi, ngga perlu bingung harus</p>]]></description><link>https://blog.kejarcita.id/sekolah-bukan-hanya-sekadar-tempat-belajar-sudahkah-menjadi-tempat-yang-aman-nyaman-bagi-setiap-murid/</link><guid isPermaLink="false">6a8afbead70df340d108700e</guid><category><![CDATA[infografis]]></category><dc:creator><![CDATA[Kejarcita]]></dc:creator><pubDate>Mon, 24 Aug 2026 03:05:00 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/771808612_1677299021064071_5775155391483414465_n-1.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/771808612_1677299021064071_5775155391483414465_n-1.jpg" alt="Sekolah Bukan Hanya Sekadar Tempat Belajar. Sudahkah Menjadi Tempat yang Aman &amp; Nyaman Bagi Setiap Murid?"><p>Membangun sekolah yang aman dan nyaman bukan hanya tentang menangani masalah ketika terjadi. Sekolah juga perlu memiliki pemahaman dan langkah yang tepat untuk mencegahnya sejak awal. </p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/771808612_1677299021064071_5775155391483414465_n.jpg" class="kg-image" alt="Sekolah Bukan Hanya Sekadar Tempat Belajar. Sudahkah Menjadi Tempat yang Aman &amp; Nyaman Bagi Setiap Murid?" loading="lazy" width="470" height="590"></figure><p>kejarcita menghadirkan e-book GRATIS untuk membantu kepala sekolah dan Gurucita mulai memahami implementasi Budaya Sekolah Aman dan Nyaman (BSAN). Jadi, ngga perlu bingung harus mulai dari mana!</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/772230069_1677299007730739_8453864650102701373_n.jpg" class="kg-image" alt="Sekolah Bukan Hanya Sekadar Tempat Belajar. Sudahkah Menjadi Tempat yang Aman &amp; Nyaman Bagi Setiap Murid?" loading="lazy" width="1087" height="1350" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/772230069_1677299007730739_8453864650102701373_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/772230069_1677299007730739_8453864650102701373_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/772230069_1677299007730739_8453864650102701373_n.jpg 1087w" sizes="(min-width: 720px) 720px"></figure><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/773483507_1677299067730733_7910920361642652071_n.jpg" class="kg-image" alt="Sekolah Bukan Hanya Sekadar Tempat Belajar. Sudahkah Menjadi Tempat yang Aman &amp; Nyaman Bagi Setiap Murid?" loading="lazy" width="1076" height="1350" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/773483507_1677299067730733_7910920361642652071_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/773483507_1677299067730733_7910920361642652071_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/773483507_1677299067730733_7910920361642652071_n.jpg 1076w" sizes="(min-width: 720px) 720px"></figure><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/773240325_1677299011064072_6590370077458130010_n.jpg" class="kg-image" alt="Sekolah Bukan Hanya Sekadar Tempat Belajar. Sudahkah Menjadi Tempat yang Aman &amp; Nyaman Bagi Setiap Murid?" loading="lazy" width="1087" height="1350" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/773240325_1677299011064072_6590370077458130010_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/773240325_1677299011064072_6590370077458130010_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/773240325_1677299011064072_6590370077458130010_n.jpg 1087w" sizes="(min-width: 720px) 720px"></figure><p>Dapatkan panduannya dan mulai langkah pertama bersama kejarcita. Mau mendapatkan e-book secara GRATIS? Hubungi admin kejarcita di 0819-7388-8808 sekarang. </p>]]></content:encoded></item><item><title><![CDATA[Instagram LIVE - Ngobrol Santai Seputar TKA: Tips, Strategi, dan Tanya Jawab]]></title><description><![CDATA[<p>TKA semakin dekat, sudah siap menghadapi ujiannya?</p><p>Yuk, ngobrol santai bareng kejarcita dan kupas tuntas seputar TKA! Mulai dari tips persiapan, strategi menghadapi soal, sampai sesi tanya jawab untuk menjawab berbagai hal yang masih bikin kamu penasaran.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg" class="kg-image" alt loading="lazy" width="1080" height="1350" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg 1080w" sizes="(min-width: 720px) 720px"></figure><p>Catat waktu &amp; tanggalnya:</p><ul><li>Sabtu, 22 Agustus 2026</li><li>14.00&#x2013;15.00</li></ul>]]></description><link>https://blog.kejarcita.id/instagram-live-ngobrol-santai-seputar-tka-tips-strategi-dan-tanya-jawab/</link><guid isPermaLink="false">6a890822d70df340d1086f27</guid><category><![CDATA[event]]></category><dc:creator><![CDATA[Kejarcita]]></dc:creator><pubDate>Sat, 22 Aug 2026 02:26:54 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/778972299_1684103333716973_8091316746759274782_n-1.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/778972299_1684103333716973_8091316746759274782_n-1.jpg" alt="Instagram LIVE - Ngobrol Santai Seputar TKA: Tips, Strategi, dan Tanya Jawab"><p>TKA semakin dekat, sudah siap menghadapi ujiannya?</p><p>Yuk, ngobrol santai bareng kejarcita dan kupas tuntas seputar TKA! Mulai dari tips persiapan, strategi menghadapi soal, sampai sesi tanya jawab untuk menjawab berbagai hal yang masih bikin kamu penasaran.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg" class="kg-image" alt="Instagram LIVE - Ngobrol Santai Seputar TKA: Tips, Strategi, dan Tanya Jawab" loading="lazy" width="1080" height="1350" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/778972299_1684103333716973_8091316746759274782_n.jpg 1080w" sizes="(min-width: 720px) 720px"></figure><p>Catat waktu &amp; tanggalnya:</p><ul><li>Sabtu, 22 Agustus 2026</li><li>14.00&#x2013;15.00 WIB</li><li>Live di Instagram @kejarcita.id</li></ul><p>Siapkan pertanyaanmu dan jangan lewatkan kesempatan untuk mendapatkan insight yang bisa membantu kamu lebih percaya diri menghadapi TKA! Sampai jumpa di IG Live kejarcita~</p>]]></content:encoded></item><item><title><![CDATA[5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas]]></title><description><![CDATA[Guru dapat mengenalkan konsep koding melalui kegiatan yang dekat dengan kehidupan siswa, seperti menyusun langkah-langkah membuat teh]]></description><link>https://blog.kejarcita.id/5-ide-aktivitas-koding-dan-ai-yang-mudah-diterapkan-di-kelas/</link><guid isPermaLink="false">6a7bd7ebd70df340d1086c38</guid><category><![CDATA[teknologi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Fri, 21 Aug 2026 00:20:25 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-nguy-n-ti-n-th-nh-2150376175-33765936.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-nguy-n-ti-n-th-nh-2150376175-33765936.jpg" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas"><p>Perkembangan teknologi membuat koding dan <em>Artificial Intelligence</em> (AI) semakin relevan untuk dikenalkan dalam pembelajaran. Namun, belum semua sekolah memiliki laboratorium komputer atau perangkat digital yang memadai untuk menerapkan kegiatan koding dan AI secara langsung. Kondisi ini bukan berarti guru tidak bisa mengenalkan teknologi kepada siswa. Koding dan AI dapat diperkenalkan melalui aktivitas sederhana menggunakan kertas, kartu, papan tulis, atau satu perangkat milik guru. Selain mudah dilakukan, kegiatan tersebut juga dapat melatih logika, kreativitas, pemecahan masalah, dan <a href="https://blog.kejarcita.id/7-kegiatan-belajar-yang-meningkatkan-kemampuan-berpikir-kritis-dan-problem-solving-siswa">kemampuan berpikir kritis</a> siswa. Berikut lima ide aktivitas koding dan AI yang dapat diterapkan guru dengan fasilitas sederhana.</p><h2 id="5-ide-aktivitas-koding-dan-ai-yang-mudah-diterapkan-di-kelas">5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas</h2><p>Tidak semua sekolah memiliki laboratorium komputer dengan perangkat yang memadai untuk mendukung pembelajaran koding dan AI. Namun, kondisi tersebut bukan berarti guru tidak bisa mengenalkan teknologi kepada siswa. Koding dan AI dapat diperkenalkan melalui aktivitas sederhana yang menggunakan alat-alat yang mudah ditemukan di kelas, seperti kertas, kartu, papan tulis, atau bahkan satu perangkat HP milik guru. Yang terpenting, siswa tetap mendapatkan pengalaman untuk berpikir logis, mengikuti instruksi, memecahkan masalah, menggunakan teknologi, dan memahami cara kerja AI secara sederhana. Berikut beberapa aktivitas koding dan AI yang dapat dicoba guru tanpa membutuhkan fasilitas komputer yang lengkap.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/mengapa-critical-thinking-penting-dalam-kehidupan-sehari-hari/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Mengapa Critical Thinking Penting dalam Kehidupan Sehari-hari?</div><div class="kg-bookmark-description">Berpikir kritis bukan berarti menolak pendapat orang lain, tetapi lebih kepada mempertimbangkan segala hal dengan pikiran terbuka dan logis</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2025/10/pexels-pavel-danilyuk-8423861.jpg" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas"></div></a></figure><h3 id="1-bermain-%E2%80%9Crobot%E2%80%9D-dengan-kartu-perintah">1. Bermain &#x201C;Robot&#x201D; dengan Kartu Perintah</h3><p>Koding pada dasarnya berkaitan dengan pemberian instruksi agar komputer dapat melakukan sesuatu sesuai dengan perintah. Konsep sederhana ini dapat dikenalkan guru melalui permainan &#x201C;robot&#x201D;. Dalam kegiatan ini, siswa tidak perlu menggunakan komputer. Mereka cukup menggunakan kartu perintah dan bergerak mengikuti instruksi yang sudah disusun.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/pexels-pavel-danilyuk-8294803.jpg" class="kg-image" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas" loading="lazy" width="2000" height="1335" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/pexels-pavel-danilyuk-8294803.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/pexels-pavel-danilyuk-8294803.jpg 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/pexels-pavel-danilyuk-8294803.jpg 1600w, https://blog.kejarcita.id/content/images/size/w2400/2026/08/pexels-pavel-danilyuk-8294803.jpg 2400w" sizes="(min-width: 720px) 720px"></figure><h3 id="cara-melakukannya">Cara Melakukannya:</h3><ul><li>Guru menyiapkan beberapa kartu bertuliskan Maju, Mundur, Kiri, Kanan, dan Berhenti.</li><li>Buat jalur sederhana menggunakan selotip di lantai atau gambar kotak-kotak pada kertas.</li><li>Tentukan titik awal dan tujuan, misalnya dari meja menuju papan tulis.</li><li>Satu siswa menjadi &#x201C;robot&#x201D;, sedangkan siswa lain bertugas menyusun instruksi.</li><li>Siswa menyusun beberapa kartu agar robot dapat mencapai tujuan.</li><li>Robot kemudian menjalankan instruksi sesuai urutan kartu.</li><li>Jika robot salah arah, siswa mencari kartu yang menyebabkan kesalahan dan memperbaiki urutannya.</li></ul><p>Melalui permainan ini, siswa belajar bahwa sebuah perintah harus dibuat jelas dan berurutan. Guru juga dapat menjelaskan bahwa konsep tersebut merupakan salah satu dasar dalam koding. Aktivitas ini sekaligus melatih kemampuan berpikir logis dan memecahkan masalah.</p><h3 id="2-menyusun-langkah-kegiatan-sehari-hari">2. Menyusun Langkah Kegiatan Sehari-hari</h3><p>Guru juga dapat mengenalkan konsep koding melalui kegiatan yang sangat dekat dengan kehidupan siswa. Misalnya, siswa diminta menyusun langkah-langkah membuat teh, mencuci tangan, menanam tanaman, atau bersiap sebelum berangkat sekolah. Kegiatan ini membantu siswa memahami bahwa suatu pekerjaan membutuhkan urutan langkah yang tepat.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/pexels-kseniachernaya-8535574.jpg" class="kg-image" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas" loading="lazy" width="2000" height="1335" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/pexels-kseniachernaya-8535574.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/pexels-kseniachernaya-8535574.jpg 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/pexels-kseniachernaya-8535574.jpg 1600w, https://blog.kejarcita.id/content/images/size/w2400/2026/08/pexels-kseniachernaya-8535574.jpg 2400w" sizes="(min-width: 720px) 720px"></figure><h3 id="cara-melakukannya-1">Cara Melakukannya:</h3><ul><li>Guru memilih satu kegiatan sederhana.</li><li>Tuliskan setiap langkah kegiatan pada potongan kertas secara acak.</li><li>Bagikan kertas tersebut kepada kelompok siswa.</li><li>Minta siswa menyusun kertas sesuai urutan yang benar.</li><li>Setelah selesai, minta kelompok menjelaskan alasan urutan tersebut.</li><li>Guru kemudian mengubah salah satu langkah dan bertanya apa yang terjadi jika urutannya salah.</li></ul><p>Misalnya, dalam kegiatan mencuci tangan, siswa tentu tidak akan langsung mengeringkan tangan sebelum menggunakan air dan sabun. Dari contoh sederhana tersebut, guru dapat menjelaskan bahwa komputer juga membutuhkan instruksi yang tersusun secara sistematis. Aktivitas ini dapat dilakukan tanpa perangkat digital dan cocok digunakan sebagai pengenalan awal sebelum siswa mempelajari koding yang lebih kompleks.</p><h3 id="3-membuat-kuis-dengan-bantuan-ai">3. Membuat Kuis dengan Bantuan AI</h3><p>AI juga dapat dikenalkan tanpa setiap siswa harus memiliki komputer atau akun AI. Guru dapat menggunakan satu HP untuk membuat bahan pembelajaran sederhana. Salah satu kegiatan yang mudah dicoba adalah membuat kuis berdasarkan materi yang sedang dipelajari.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/s_RHRTjJ4_8?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Apa itu Koding? | Koding dan Kecerdasan Artifisial SMA"></iframe></figure><h3 id="cara-melakukannya-2">Cara Melakukannya:</h3><ul><li>Guru menentukan materi, misalnya sistem tata surya untuk siswa kelas 6.</li><li>Guru memberikan instruksi kepada AI untuk membuat beberapa pertanyaan.</li><li>Contoh instruksinya:<em> &#x201C;Buatkan 5 soal pilihan ganda tentang sistem tata surya untuk siswa kelas 6 SD dengan bahasa sederhana. Sertakan kunci jawaban.&#x201D;</em></li><li>Guru membaca dan memeriksa hasil yang diberikan AI.</li><li>Jika sudah sesuai, pertanyaan dapat ditulis di papan atau dibacakan kepada siswa.</li><li>Siswa mengerjakan kuis secara individu atau berkelompok.</li><li>Guru membahas jawabannya bersama siswa.</li></ul><p>Aktivitas ini menunjukkan bahwa AI dapat digunakan sebagai alat bantu menyiapkan pembelajaran, bukan sekadar untuk mencari jawaban. Guru tetap perlu memeriksa hasil AI karena informasi atau pertanyaan yang dihasilkan belum tentu selalu sesuai dengan materi dan tingkat kemampuan siswa.</p><h3 id="4-membuat-cerita-atau-ide-gambar-dengan-ai">4. Membuat Cerita atau Ide Gambar dengan AI</h3><p>AI juga dapat dimanfaatkan untuk membuat pembelajaran lebih kreatif. Guru dapat meminta AI menghasilkan cerita pendek berdasarkan materi tertentu, kemudian menggunakan cerita tersebut sebagai bahan diskusi atau aktivitas lanjutan. Kegiatan ini cocok untuk berbagai mata pelajaran dan tidak membutuhkan perangkat untuk setiap siswa.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/pexels-nicola-barts-7944377.jpg" class="kg-image" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas" loading="lazy" width="2000" height="1333" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/pexels-nicola-barts-7944377.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/pexels-nicola-barts-7944377.jpg 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/pexels-nicola-barts-7944377.jpg 1600w, https://blog.kejarcita.id/content/images/size/w2400/2026/08/pexels-nicola-barts-7944377.jpg 2400w" sizes="(min-width: 720px) 720px"></figure><h3 id="cara-melakukannya-3">Cara Melakukannya:</h3><ul><li>Guru menentukan tema pembelajaran.</li><li>Masukkan instruksi ke AI, misalnya: <em>&#x201C;Buat cerita pendek tentang siklus air untuk siswa kelas 5 SD dengan tokoh utama sebuah tetes air.&#x201D;</em></li><li>Guru membaca hasilnya terlebih dahulu dan menyesuaikannya jika diperlukan.</li><li>Cerita dibacakan kepada siswa.</li><li>Setelah itu, guru memberikan tugas lanjutan, seperti meminta siswa menggambar bagian cerita, menemukan informasi penting, atau membuat akhir cerita sendiri.</li><li>Guru dapat mendiskusikan bagian cerita yang sesuai atau kurang sesuai dengan materi.</li></ul><p>Dengan kegiatan ini, AI berfungsi sebagai pemantik ide, sementara siswa tetap melakukan aktivitas utama seperti membaca, berdiskusi, menggambar, dan berpikir kreatif.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/577725376_1417411683719474_5839852354669542469_n.jpg" class="kg-image" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/577725376_1417411683719474_5839852354669542469_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/577725376_1417411683719474_5839852354669542469_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/577725376_1417411683719474_5839852354669542469_n.jpg 1128w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><h3 id="5-menguji-apakah-jawaban-ai-benar">5. Menguji Apakah Jawaban AI Benar</h3><p>Aktivitas terakhir dapat digunakan untuk mengenalkan literasi AI kepada siswa. Guru memberikan sebuah pertanyaan kepada siswa dan meminta mereka menjawab berdasarkan pengetahuan yang dimiliki. Setelah itu, guru memasukkan pertanyaan yang sama ke AI dan membandingkan hasilnya dengan jawaban siswa.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/pexels-nicola-barts-7943952.jpg" class="kg-image" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas" loading="lazy" width="2000" height="1333" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/pexels-nicola-barts-7943952.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/pexels-nicola-barts-7943952.jpg 1000w, https://blog.kejarcita.id/content/images/size/w1600/2026/08/pexels-nicola-barts-7943952.jpg 1600w, https://blog.kejarcita.id/content/images/size/w2400/2026/08/pexels-nicola-barts-7943952.jpg 2400w" sizes="(min-width: 720px) 720px"></figure><h3 id="cara-melakukannya-4">Cara Melakukannya:</h3><ul><li>Guru menyiapkan satu pertanyaan sesuai materi.</li><li>Siswa menjawab pertanyaan tersebut terlebih dahulu.</li><li>Guru memasukkan pertanyaan yang sama ke AI menggunakan HP.</li><li>Jawaban AI dibacakan atau ditampilkan kepada siswa.</li><li>Siswa membandingkan jawaban mereka dengan jawaban AI.</li><li>Guru bertanya apakah jawaban AI sudah benar dan lengkap.</li><li>Bersama-sama, siswa mencari bagian yang perlu diperbaiki berdasarkan buku atau sumber pembelajaran yang digunakan.</li></ul><p>Kegiatan ini penting agar siswa memahami bahwa AI tidak selalu memberikan jawaban yang benar. Siswa perlu tetap membaca, berpikir, memeriksa informasi, dan menggunakan sumber yang terpercaya. Dengan demikian, sejak awal siswa belajar menggunakan AI secara bijak dan bertanggung jawab.</p><h2 id="tips-agar-koding-dan-ai-mudah-diterapkan-di-kelas">Tips Agar Koding dan AI Mudah Diterapkan di Kelas</h2><h3 id="1-mulai-dari-aktivitas-tanpa-komputer">1. Mulai dari Aktivitas Tanpa Komputer</h3><p>Guru tidak harus langsung menggunakan komputer untuk mengenalkan koding. Aktivitas seperti permainan robot, menyusun kartu perintah, dan mencari pola dapat dilakukan menggunakan kertas atau benda yang ada di kelas. Cara ini cocok untuk sekolah yang belum memiliki laboratorium komputer yang memadai.</p><h3 id="2-gunakan-satu-perangkat-untuk-aktivitas-ai">2. Gunakan Satu Perangkat untuk Aktivitas AI</h3><p>Jika jumlah perangkat terbatas, guru tidak perlu meminta setiap siswa menggunakan AI secara langsung. Satu HP atau laptop milik guru sudah cukup untuk menampilkan hasil AI kepada seluruh kelas. Siswa kemudian dapat berdiskusi, memberikan pendapat, atau mengoreksi hasil tersebut bersama-sama.</p><h3 id="3-sesuaikan-dengan-materi-pembelajaran">3. Sesuaikan dengan Materi Pembelajaran</h3><p>Koding dan AI sebaiknya tidak diajarkan sebagai aktivitas yang berdiri sendiri. Guru dapat menghubungkannya dengan materi yang sedang dipelajari. Misalnya, membuat kuis AI untuk pelajaran IPA atau menyusun langkah kegiatan untuk melatih kemampuan berpikir sistematis dalam Matematika.</p><h3 id="4-pilih-aktivitas-yang-sesuai-kemampuan-siswa">4. Pilih Aktivitas yang Sesuai Kemampuan Siswa</h3><p>Tidak semua siswa memiliki pengalaman yang sama dalam menggunakan teknologi. Karena itu, guru dapat memulai dari aktivitas yang sederhana dan memberikan instruksi secara bertahap. Setelah siswa memahami konsep dasarnya, aktivitas dapat dikembangkan menjadi kegiatan yang lebih menantang.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/strategi-meningkatkan-kemampuan-bernalar-kritis-siswa-di-kelas/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Strategi Meningkatkan Kemampuan Bernalar Kritis Siswa di Kelas</div><div class="kg-bookmark-description">Bernalar kritis adalah kemampuan untuk mempertanyakan, menganalisis, dan mengevaluasi informasi secara objektif</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Enni Kurniasih</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2024/01/pexels-mart-production-8471912.jpg" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas"></div></a></figure><h3 id="5-tetap-dampingi-penggunaan-ai">5. Tetap Dampingi Penggunaan AI</h3><p>Saat menggunakan AI, guru perlu memastikan siswa memahami bahwa hasil AI tidak selalu benar. Ajak siswa memeriksa jawaban, membandingkannya dengan buku atau sumber lain, dan memberikan alasan jika menemukan informasi yang kurang tepat. Dengan begitu, siswa tidak hanya belajar menggunakan AI, tetapi juga belajar berpikir kritis saat menerima informasi dari teknologi.</p><h3 id="kesimpulan">Kesimpulan:</h3><p>Koding dan AI tidak harus diterapkan dengan perangkat yang lengkap atau kegiatan yang rumit. Melalui permainan, kartu perintah, aktivitas menyusun langkah, hingga pemanfaatan AI dengan satu perangkat guru, peserta didik sudah dapat mengenal konsep teknologi sekaligus melatih kemampuan berpikir logis, kreatif, kritis, dan sistematis. Pendekatan sederhana ini juga membuat pembelajaran koding dan AI lebih mudah diterapkan di berbagai kondisi sekolah, sehingga guru dapat menghadirkan pengalaman belajar yang menyenangkan tanpa harus bergantung sepenuhnya pada ketersediaan perangkat digital.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260727-WA0000--1-.jpg" class="kg-image" alt="5 Ide Aktivitas Koding dan AI yang Mudah Diterapkan di Kelas" loading="lazy" width="899" height="1599" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260727-WA0000--1-.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260727-WA0000--1-.jpg 899w" sizes="(min-width: 720px) 720px"><figcaption>pelatihan kejarcita</figcaption></figure><p>Agar guru semakin siap menerapkan pembelajaran berbasis teknologi di kelas, kejarcita juga menyediakan pelatihan koding dan pemanfaatan AI yang membantu guru memahami konsep serta praktiknya secara lebih mudah, kreatif, dan aplikatif. Melalui pelatihan yang sesuai dengan kebutuhan pembelajaran, guru dapat mengembangkan berbagai aktivitas koding dan AI yang relevan dengan karakteristik peserta didik serta kondisi sekolah. Dengan demikian, keterbatasan fasilitas bukan menjadi penghalang untuk mengenalkan teknologi, melainkan menjadi kesempatan bagi guru untuk menciptakan pembelajaran yang lebih kreatif, inklusif, dan bermakna. Jika sekolah atau komunitas guru tertarik mengadakan pelatihan serupa maupun pelatihan dengan topik lainnya, silakan hubungi admin kejarcita untuk mendapatkan informasi dan menyesuaikan program pelatihan dengan kebutuhan sekolah.</p>]]></content:encoded></item><item><title><![CDATA[Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?]]></title><description><![CDATA[Growth mindset adalah keyakinan bahwa kemampuan seseorang dapat berkembang melalui usaha, strategi yang tepat, pengalaman, dan proses belajar]]></description><link>https://blog.kejarcita.id/mengapa-membandingkan-siswa-dapat-menghambat-growth-mindset/</link><guid isPermaLink="false">6a7bd824d70df340d1086c40</guid><category><![CDATA[edukasi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Tue, 18 Aug 2026 01:27:33 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-ahmetkurt-35745333.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-ahmetkurt-35745333.jpg" alt="Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?"><p>Dalam proses pembelajaran, guru tentu ingin mendorong siswa agar lebih semangat belajar dan berusaha mencapai hasil yang lebih baik. Salah satu cara yang terkadang dilakukan adalah membandingkan pencapaian siswa dengan teman sekelasnya, misalnya dengan mengatakan, <em>&#x201C;Coba lihat temanmu, dia bisa mendapat nilai tinggi.&#x201D; </em>Meskipun bertujuan memotivasi, kebiasaan tersebut justru dapat memberikan dampak yang kurang baik jika dilakukan terus-menerus. </p><p>Siswa dapat merasa bahwa kemampuan dirinya lebih rendah, takut melakukan kesalahan, atau hanya berfokus pada hasil dibandingkan proses belajar. Padahal, <em>growth mindset </em>mengajarkan siswa untuk melihat kemampuan sebagai sesuatu yang dapat berkembang melalui usaha, strategi, dan pengalaman. Karena itu, penting bagi guru memahami mengapa membandingkan siswa dapat menghambat <em>growth mindset</em> serta bagaimana memberikan dorongan yang membantu siswa berkembang sesuai potensinya.</p><h2 id="apa-yang-dimaksud-dengan-growth-mindset-pada-siswa">Apa yang Dimaksud dengan Growth Mindset pada Siswa?</h2><p><em>Growth mindset</em> atau <a href="https://blog.kejarcita.id/7-cara-agar-siswa-mempunyai-mindset-positif-tentang-belajar/">pola pikir berkembang</a> adalah keyakinan bahwa kemampuan dan kecerdasan seseorang dapat terus berkembang melalui usaha, strategi yang tepat, pengalaman, dan proses belajar. Dalam konteks pendidikan, siswa dengan <em>growth mindset</em> tidak melihat nilai rendah atau kesulitan memahami materi sebagai bukti bahwa dirinya tidak pintar. Sebaliknya, mereka menganggap kesulitan sebagai bagian dari proses belajar dan kesempatan untuk memperbaiki diri. Misalnya, ketika mendapatkan nilai 60 dalam pelajaran matematika, siswa tidak langsung berpikir,<em> &#x201C;Saya memang tidak bisa matematika,&#x201D;</em> tetapi dapat mengatakan, <em>&#x201C;Saya belum memahami materi ini dan perlu mencoba strategi belajar yang berbeda.&#x201D;</em> Pola pikir ini juga membuat siswa lebih berani menghadapi tantangan, mencoba hal baru, dan belajar dari kesalahan.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/strategi-efektif-untuk-menumbuhkan-pola-pikir-bertumbuh-pada-siswa/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Strategi Efektif untuk Menumbuhkan Pola Pikir Bertumbuh pada Siswa</div><div class="kg-bookmark-description">Pola pikir bertumbuh dapat meningkatkan motivasi siswa dengan membangun keyakinan pada kemampuan diri, menemukan makna dalam proses belajar</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2024/11/pexels-anastasia-shuraeva-8466166--1-.jpg" alt="Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?"></div></a></figure><p>Dalam membangun <em>growth mindset, </em>guru berperan penting dalam memberikan apresiasi, <em>feedback</em>, dan merespons kesalahan siswa. Pada kesempatan ini, guru dapat membantu siswa memahami bahwa keberhasilan tidak hanya ditentukan oleh nilai atau kemampuan yang sudah dimiliki, tetapi juga oleh usaha dan perkembangan selama proses belajar. Misalnya, daripada hanya mengatakan <em>&#x201C;Kamu pintar&#x201D;</em> ketika siswa mendapatkan nilai tinggi, guru dapat mengatakan, <em>&#x201C;Kamu sudah berusaha menggunakan cara yang berbeda sampai menemukan jawaban yang tepat.&#x201D; </em>Dengan pendekatan tersebut, siswa belajar menghargai proses dan perkembangan dirinya sendiri. Hal ini juga menjadi alasan mengapa kebiasaan membandingkan siswa perlu diperhatikan, karena perbandingan dapat membuat siswa lebih fokus pada pencapaian orang lain daripada melihat perkembangan kemampuan dirinya.</p><h2 id="mengapa-membandingkan-siswa-dapat-menghambat-growth-mindset">Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?</h2><h3 id="1-membuat-siswa-lebih-berfokus-pada-kemampuan-daripada-proses">1. Membuat Siswa Lebih Berfokus pada Kemampuan daripada Proses</h3><p>Ketika guru terlalu sering membandingkan nilai atau hasil belajar siswa, perhatian siswa dapat bergeser dari proses belajar menuju hasil akhir. Siswa mungkin mulai berpikir bahwa siswa yang mendapat nilai tinggi adalah siswa yang pintar, sedangkan siswa dengan nilai rendah dianggap kurang mampu. Akibatnya, mereka tidak lagi melihat pentingnya usaha, strategi belajar, maupun perkembangan yang telah dicapai.</p><p>Padahal, dalam <em>growth mindset, </em>proses merupakan bagian penting dari keberhasilan. Misalnya, seorang siswa yang sebelumnya mendapat nilai 60 kemudian meningkat menjadi 75 sebenarnya telah menunjukkan perkembangan yang positif. Jika guru hanya mengatakan, <em>&#x201C;Kamu masih kalah dari temanmu yang mendapat nilai 90,&#x201D;</em> siswa dapat merasa bahwa peningkatannya tidak berarti.</p><p>Guru sebaiknya membantu siswa melihat perkembangan tersebut dengan mengatakan, <em>&#x201C;Nilaimu meningkat dibandingkan latihan sebelumnya. Menurutmu, apa yang membuat hasilmu kali ini lebih baik?&#x201D; </em>Dengan begitu, siswa belajar mengenali usaha dan strategi yang membantu dirinya berkembang.</p><h3 id="2-menumbuhkan-label-%E2%80%9Cpintar%E2%80%9D-dan-%E2%80%9Ckurang-pintar%E2%80%9D">2. Menumbuhkan Label &#x201C;Pintar&#x201D; dan &#x201C;Kurang Pintar&#x201D;</h3><p>Perbandingan yang dilakukan berulang dapat membuat siswa memberikan label tertentu kepada dirinya sendiri maupun teman-temannya. Siswa yang sering mendapat nilai tinggi bisa dianggap sebagai &#x201C;anak pintar&#x201D;, sedangkan siswa yang nilainya lebih rendah dapat merasa dirinya &#x201C;tidak pintar&#x201D;. Jika label tersebut terus melekat, siswa dapat mulai menganggap kemampuan sebagai sesuatu yang tetap dan sulit berubah.</p><p>Misalnya, siswa yang beberapa kali mendapat nilai rendah dalam matematika mungkin mulai berkata, &#x201C;Saya memang tidak bisa matematika.&#x201D; Pernyataan tersebut menunjukkan pola pikir yang cenderung <em>fixed mindset</em> karena siswa menganggap kemampuan sebagai sesuatu yang sudah ditentukan.</p><p>Sebaliknya, guru dapat mengubah cara memberikan respons dengan menekankan bahwa kemampuan masih dapat berkembang. Kalimat seperti, &#x201C;Kamu belum memahami materi ini, tetapi kita bisa mencari cara belajar yang lebih cocok,&#x201D; membantu siswa memahami bahwa kesulitan bukan berarti ketidakmampuan permanen.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/494308471_1242499294544048_6251464862968047987_n.jpg" class="kg-image" alt="Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/494308471_1242499294544048_6251464862968047987_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/494308471_1242499294544048_6251464862968047987_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/494308471_1242499294544048_6251464862968047987_n.jpg 1128w" sizes="(min-width: 720px) 720px"></figure><h3 id="3-membuat-siswa-takut-melakukan-kesalahan">3. Membuat Siswa Takut Melakukan Kesalahan</h3><p>Kesalahan sebenarnya merupakan bagian penting dalam proses belajar. Namun, ketika siswa sering dibandingkan, kesalahan dapat dipandang sebagai sesuatu yang memalukan. Siswa mungkin takut jawabannya salah karena khawatir dianggap lebih rendah dibandingkan teman-temannya.</p><p>Dalam jangka panjang, kondisi ini dapat membuat siswa memilih untuk diam, tidak bertanya, atau bahkan tidak mencoba mengerjakan tugas yang dianggap sulit. Mereka berpikir bahwa lebih baik tidak mencoba daripada mendapatkan hasil yang buruk di depan teman-teman.</p><p>Padahal, <em>growth mindset </em>justru mengajarkan bahwa kesalahan dapat menjadi kesempatan untuk belajar. Guru dapat menciptakan suasana kelas yang membuat siswa merasa aman untuk mencoba. Misalnya, ketika jawaban siswa belum tepat, guru dapat mengatakan,<em> &#x201C;Cara berpikirmu sudah mengarah ke sini. Sekarang, mari kita lihat bagian mana yang perlu diperbaiki.&#x201D; </em>Respons seperti ini menunjukkan bahwa kesalahan bukan akhir dari proses belajar, melainkan bagian dari proses menemukan jawaban yang tepat.</p><h3 id="4-menurunkan-motivasi-belajar-siswa">4. Menurunkan Motivasi Belajar Siswa</h3><p>Perbandingan juga dapat memengaruhi motivasi belajar siswa. Siswa yang terus-menerus dibandingkan dengan teman yang memiliki pencapaian lebih tinggi dapat merasa bahwa usaha mereka tidak pernah cukup. Terlebih jika siswa sebenarnya sudah berusaha keras tetapi hasilnya belum sama dengan teman yang dibandingkan dengannya.</p><p>Misalnya, seorang siswa sudah belajar lebih rutin dan berhasil meningkatkan nilainya dari 60 menjadi 75. Namun, guru hanya menyoroti bahwa nilai tersebut masih lebih rendah daripada siswa lain yang mendapat 90. Siswa bisa merasa bahwa usahanya tidak dihargai dan akhirnya kehilangan semangat untuk memperbaiki diri.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/9iCCIo6FXVw?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="8 Strategi untuk Meningkatkan Motivasi Belajar Siswa"></iframe></figure><p>Padahal, motivasi yang sehat seharusnya tidak selalu berasal dari keinginan untuk mengalahkan teman. Guru dapat membantu siswa membangun motivasi dengan menetapkan target berdasarkan perkembangan dirinya sendiri. Dengan demikian, siswa belajar bahwa keberhasilan tidak harus selalu berarti menjadi yang terbaik di kelas, tetapi juga bisa berarti berhasil mencapai kemajuan dibandingkan dirinya yang sebelumnya.</p><h3 id="5-mengurangi-apresiasi-terhadap-perkembangan-individu">5. Mengurangi Apresiasi terhadap Perkembangan Individu</h3><p>Setiap siswa memiliki kemampuan awal, kecepatan belajar, pengalaman, dan kebutuhan yang berbeda. Karena itu, pencapaian siswa tidak selalu dapat diukur menggunakan standar yang sama. Siswa yang mengalami peningkatan kecil mungkin sebenarnya telah melalui proses belajar yang jauh lebih besar dibandingkan siswa yang sejak awal memiliki kemampuan akademik lebih tinggi.</p><p>Jika guru terlalu berfokus pada perbandingan antarsiswa, perkembangan kecil tersebut berisiko terlewatkan. Misalnya, siswa yang biasanya pasif mulai berani menyampaikan pendapat, siswa yang sebelumnya selalu terlambat mengumpulkan tugas mulai lebih disiplin, atau siswa yang sebelumnya mendapat nilai 50 berhasil mencapai nilai 70. Semua perubahan tersebut merupakan perkembangan yang layak diapresiasi.</p><p>Oleh karena itu, guru perlu membiasakan diri melihat kemajuan setiap siswa berdasarkan titik awalnya masing-masing. Dengan memberikan apresiasi terhadap proses dan perkembangan individu, guru membantu siswa memahami bahwa belajar bukan tentang menjadi lebih baik daripada orang lain, tetapi tentang terus berkembang dari waktu ke waktu.</p><h2 id="contoh-kebiasaan-membandingkan-siswa-yang-perlu-dihindari-guru">Contoh Kebiasaan Membandingkan Siswa yang Perlu Dihindari Guru</h2><p>Dalam proses kegiatan belajar terkadang sikap membandingkan siswa muncul melalui adanya komentar sederhana, memberikan pujian, atau menjadikan pencapaian siswa tertentu sebagai standar untuk seluruh kelas. Walaupun tujuan guru adalah untuk memotivasi siswa, kebiasaan tersebut tentunya dapat membuat siswa merasa bahwa dirinya dinilai berdasarkan pencapaian teman sekelasnya, bukan karena dirinya sendiri. Berikut adalah beberapa contoh kebiasaan yang perlu diperhatikan guru, yaitu:</p><ul><li><strong>&#x201C;Kenapa nilai kamu tidak seperti Rani?&#x201D;</strong> Kalimat ini dapat membuat siswa merasa bahwa pencapaiannya selalu kurang karena dibandingkan dengan teman yang memiliki nilai lebih tinggi.</li><li><strong>&#x201C;Lihat temanmu, semuanya sudah selesai.&#x201D;</strong> Pernyataan tersebut dapat membuat siswa merasa tertinggal tanpa membantu mereka memahami bagian mana yang sebenarnya masih perlu diperbaiki.</li><li><strong>&#x201C;Kamu seharusnya bisa seperti dia.&#x201D;</strong> Kalimat ini berisiko membuat siswa menganggap kemampuan teman sebagai standar yang harus dicapai, bukan melihat perkembangan dirinya sendiri.</li><li><strong>Menjadikan siswa dengan nilai tertinggi sebagai standar seluruh kelas.</strong> Guru mungkin bermaksud menunjukkan contoh keberhasilan, tetapi siswa lain dapat merasa bahwa hanya pencapaian tertinggi yang dianggap baik.</li><li><strong>Memberikan pujian hanya kepada siswa dengan nilai tertinggi.</strong> Jika apresiasi hanya diberikan kepada siswa yang memperoleh nilai bagus, siswa dapat menganggap bahwa usaha dan perkembangan mereka tidak terlalu penting.</li></ul><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/growth-mindset-mengubah-pola-pikir-untuk-mencapai-potensi-terbaik/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Growth Mindset: Mengubah Pola Pikir untuk Mencapai Potensi Terbaik</div><div class="kg-bookmark-description">Growth Mindset mengajarkan bahwa kemampuan dan kecerdasan dapat berkembang melalui usaha, ketekunan dan pembelajaran yang berkelanjutan</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2025/03/pexels-mart-production-8471964.jpg" alt="Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?"></div></a></figure><p>Bukan berarti guru tidak boleh menunjukkan hasil belajar siswa sebagai contoh. Guru tetap dapat menggunakan pekerjaan siswa yang baik untuk menunjukkan strategi atau kualitas tugas yang diharapkan. Namun, fokusnya sebaiknya bukan pada siapa yang lebih pintar atau siapa yang mendapatkan nilai paling tinggi. Guru dapat menjelaskan apa yang membuat suatu pekerjaan menjadi baik dan bagaimana siswa lain dapat menerapkan strategi tersebut.</p><p>Misalnya, daripada mengatakan, <em>&#x201C;Lihat, nilai Dika paling tinggi. Kalian harus bisa seperti Dika,&#x201D;</em> guru dapat mengatakan, <em>&#x201C;Pada tugas ini, Dika menggunakan langkah yang sistematis sehingga jawabannya lebih mudah dipahami. Mari kita lihat strateginya dan coba gunakan cara tersebut untuk memperbaiki pekerjaan kita.&#x201D;</em> Dengan pendekatan ini, siswa tidak diarahkan untuk bersaing dengan Dika, tetapi diajak belajar dari strategi yang digunakan dan mengembangkan kemampuan mereka sendiri.</p><h3 id="kesimpulan">Kesimpulan:</h3><p>Membandingkan siswa mungkin terlihat seperti cara sederhana untuk memotivasi, tetapi jika dilakukan terus-menerus justru dapat membuat siswa takut melakukan kesalahan, kehilangan motivasi, dan lebih berfokus pada pencapaian teman daripada perkembangan dirinya sendiri. Guru dapat membantu membangun <em>growth mindset</em> dengan menghargai proses belajar, memberikan <em>feedback</em> yang membangun, serta membantu siswa melihat perkembangan dirinya dari waktu ke waktu.</p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260819-WA0005.jpg" class="kg-image" alt="Mengapa Membandingkan Siswa Dapat Menghambat Growth Mindset?" loading="lazy" width="900" height="1600" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260819-WA0005.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260819-WA0005.jpg 900w" sizes="(min-width: 720px) 720px"></figure><p>Untuk membantu guru memahami dan menerapkan <em>growth mindset</em> dalam pembelajaran, kejarcita juga menyediakan Pelatihan <em>Growth Mindset</em> yang dapat membantu guru membangun pola pikir berkembang pada diri sendiri maupun siswa. Melalui pelatihan ini, guru dapat memperoleh pemahaman dan strategi untuk menciptakan lingkungan belajar yang mendorong siswa berani mencoba, tidak takut melakukan kesalahan, dan terus berkembang sesuai potensinya. Jika sekolah atau guru ingin mengikuti pelatihan <em>Growth Mindset</em> maupun jenis pelatihan lainnya yang sesuai dengan kebutuhan sekolah, silakan hubungi admin kejarcita untuk mendapatkan informasi lebih lanjut mengenai program pelatihan yang tersedia.</p>]]></content:encoded></item><item><title><![CDATA[3 Ide Asesmen Awal untuk Gurucita]]></title><description><![CDATA[<p>Sebelum mulai mengajar, penting bagi Gurucita untuk memahami apa yang sudah diketahui, dirasakan, dan dibutuhkan siswa. Dengan begitu, pembelajaran bisa dirancang lebih sesuai dengan kondisi dan kebutuhan mereka. Nah, salah satu caranya adalah melalui asesmen awal. Asesmen awal nggak harus selalu berupa tes loh! Ada banyak aktivitas sederhana yang bisa</p>]]></description><link>https://blog.kejarcita.id/3-ide-asesmen-awal-untuk-gurucita/</link><guid isPermaLink="false">6a83aeacd70df340d1086d22</guid><category><![CDATA[infografis]]></category><dc:creator><![CDATA[Kejarcita]]></dc:creator><pubDate>Tue, 18 Aug 2026 01:02:53 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/773379020_1677289877731652_8830688328602105818_n-1.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/773379020_1677289877731652_8830688328602105818_n-1.jpg" alt="3 Ide Asesmen Awal untuk Gurucita"><p>Sebelum mulai mengajar, penting bagi Gurucita untuk memahami apa yang sudah diketahui, dirasakan, dan dibutuhkan siswa. Dengan begitu, pembelajaran bisa dirancang lebih sesuai dengan kondisi dan kebutuhan mereka. Nah, salah satu caranya adalah melalui asesmen awal. Asesmen awal nggak harus selalu berupa tes loh! Ada banyak aktivitas sederhana yang bisa membantu Gurucita mengenal siswa dan memahami kesiapan belajar mereka.</p><p>Yuk, cek beberapa ide asesmen awal yang bisa Gurucita coba lewat postingan berikut!</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/773379020_1677289877731652_8830688328602105818_n.jpg" class="kg-image" alt="3 Ide Asesmen Awal untuk Gurucita" loading="lazy" width="526" height="955"><figcaption>sumber: kejarcita.id</figcaption></figure>]]></content:encoded></item><item><title><![CDATA[Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa]]></title><description><![CDATA[Literasi digital berperan penting dalam meningkatkan kualitas pendidikan karena membantu guru dan siswa memanfaatkan teknologi dalam pembelajaran]]></description><link>https://blog.kejarcita.id/literasi-digital-indonesia-cara-guru-mengembangkan-keterampilan-digital-di-kelas/</link><guid isPermaLink="false">6a6a953066a1b904b0daae9c</guid><category><![CDATA[teknologi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Wed, 12 Aug 2026 01:01:30 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-artempodrez-4492189.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-artempodrez-4492189.jpg" alt="Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa"><p>Perkembangan teknologi digital telah membawa perubahan besar dalam dunia pendidikan, mulai dari cara guru mengajar hingga cara siswa memperoleh informasi dan belajar. Dalam kondisi ini, literasi digital Indonesia menjadi kompetensi penting yang perlu dimiliki oleh guru dan siswa agar mampu memanfaatkan teknologi secara efektif, aman, dan bertanggung jawab. Literasi digital tidak hanya berkaitan dengan kemampuan menggunakan perangkat digital, tetapi juga mencakup kemampuan mencari, memahami, mengevaluasi, dan menciptakan informasi melalui teknologi. </p><p>Dengan penguasaan literasi digital yang baik, guru dapat menciptakan pembelajaran yang lebih inovatif, sementara siswa dapat mengembangkan keterampilan berpikir kritis dan beradaptasi dengan tuntutan era digital. Oleh karena itu, diperlukan berbagai strategi untuk <a href="https://blog.kejarcita.id/kompetensi-yang-perlu-dimiliki-guru-untuk-menciptakan-pembelajaran-di-era-digital/">meningkatkan kompetensi digital</a> guru dan siswa agar teknologi dapat dimanfaatkan secara optimal dalam mendukung proses pembelajaran.</p><h2 id="apa-yang-dimaksud-dengan-literasi-digital-indonesia">Apa yang Dimaksud dengan Literasi Digital Indonesia?</h2><blockquote>Literasi digital memiliki peran penting dalam meningkatkan kualitas pendidikan karena membantu guru dan siswa memanfaatkan teknologi secara lebih optimal dalam proses pembelajaran. Dengan kompetensi digital yang baik, guru dapat menghadirkan pembelajaran yang lebih menarik melalui berbagai media, seperti video pembelajaran, platform digital, dan aplikasi interaktif. Sementara itu, siswa dapat memperoleh akses terhadap sumber belajar yang lebih luas sehingga proses belajar menjadi lebih fleksibel dan sesuai dengan kebutuhan mereka.</blockquote><p>Selain mendukung pembelajaran, literasi digital juga membantu guru dan siswa mengembangkan kemampuan berpikir kritis dalam mencari, memahami, serta mengevaluasi informasi di internet. Kemampuan ini penting agar mereka mampu membedakan informasi yang valid dengan berita palsu atau hoaks. Dengan penguatan literasi digital, guru dan siswa tidak hanya mampu menggunakan teknologi, tetapi juga dapat memanfaatkannya secara bijak, aman, dan produktif untuk menghadapi tantangan pendidikan di era digital.</p><h2 id="mengapa-literasi-digital-penting-bagi-guru-dan-siswa">Mengapa Literasi Digital Penting bagi Guru dan Siswa?</h2><h3 id="1-meningkatkan-kualitas-pembelajaran">1. Meningkatkan Kualitas Pembelajaran</h3><p>Literasi digital membantu guru dan siswa memanfaatkan teknologi untuk menciptakan proses belajar mengajar yang lebih efektif, interaktif, dan fleksibel. Guru dapat menggunakan berbagai media digital, seperti video pembelajaran, platform Learning Management System (LMS), dan kuis interaktif untuk menyampaikan materi. Sementara itu, siswa dapat mengakses sumber belajar yang lebih beragam sehingga pembelajaran tidak lagi terbatas pada buku teks atau kegiatan di dalam kelas.</p><h3 id="2-mengembangkan-kemampuan-berpikir-kritis-dan-menyaring-informasi">2. Mengembangkan Kemampuan Berpikir Kritis dan Menyaring Informasi</h3><p>Di era digital, informasi dapat diakses dengan cepat, tetapi tidak semuanya akurat dan dapat dipercaya. Literasi digital membekali guru dan siswa dengan kemampuan untuk mencari, menganalisis, serta memverifikasi informasi dari berbagai sumber sebelum menggunakannya. Keterampilan ini membantu mereka terhindar dari hoaks, mampu mengambil keputusan berdasarkan data yang valid, serta menjadi pengguna internet yang lebih bijak dan bertanggung jawab.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/7-kegiatan-belajar-yang-meningkatkan-kemampuan-berpikir-kritis-dan-problem-solving-siswa/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">7 Kegiatan Belajar yang Meningkatkan Kemampuan Berpikir Kritis dan Problem Solving Siswa</div><div class="kg-bookmark-description">Berpikir kritis adalah cara berpikir secara terbuka, rasional, dan berdasarkan bukti atau fakta yang ada.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Dian Kusumawardani</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2023/03/pexels-ketut-subiyanto-4559555.jpg" alt="Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa"></div></a></figure><h3 id="3-mendukung-penguasaan-keterampilan-abad-ke-21">3. Mendukung Penguasaan Keterampilan Abad ke-21</h3><p>Literasi digital berperan dalam mengembangkan berbagai keterampilan yang dibutuhkan pada abad ke-21, seperti komunikasi, kolaborasi, kreativitas, dan pemecahan masalah. Melalui pemanfaatan teknologi, guru dapat merancang pembelajaran berbasis proyek yang mendorong siswa bekerja sama, menyampaikan ide, serta menghasilkan karya digital. Kompetensi tersebut menjadi bekal penting bagi siswa untuk menghadapi tantangan dunia pendidikan maupun dunia kerja di masa depan.</p><h3 id="4-mempersiapkan-guru-dan-siswa-menghadapi-transformasi-digital">4. Mempersiapkan Guru dan Siswa Menghadapi Transformasi Digital</h3><p>Transformasi digital yang terus berkembang menuntut dunia pendidikan untuk mampu beradaptasi dengan perubahan teknologi. Guru perlu terus meningkatkan kompetensinya agar dapat mengintegrasikan teknologi ke dalam pembelajaran secara optimal, sedangkan siswa perlu memiliki kecakapan digital agar siap menghadapi tantangan di masa depan. Dengan literasi digital yang baik, keduanya tidak hanya mampu menggunakan teknologi, tetapi juga memanfaatkannya secara aman, etis, produktif, dan bertanggung jawab.</p><h2 id="7-cara-meningkatkan-kompetensi-digital-guru-dan-siswa">7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa</h2><h3 id="1-mengikuti-pelatihan-literasi-digital-secara-berkala">1. Mengikuti Pelatihan Literasi Digital Secara Berkala</h3><p>Pelatihan literasi digital menjadi salah satu cara paling efektif untuk meningkatkan kompetensi digital guru dan siswa. Melalui workshop, webinar, seminar, atau pelatihan lainnya, guru dapat mempelajari perkembangan teknologi pendidikan, strategi pembelajaran digital, hingga cara memanfaatkan berbagai aplikasi pendukung pembelajaran secara optimal. Sementara itu, siswa juga dapat memperoleh wawasan mengenai penggunaan teknologi yang aman, produktif, dan bertanggung jawab. Dengan mengikuti pelatihan secara berkala, kemampuan digital akan terus berkembang seiring dengan pesatnya inovasi teknologi.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/557757919_1388709259923050_8861884170549731378_n.jpg" class="kg-image" alt="Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/557757919_1388709259923050_8861884170549731378_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/557757919_1388709259923050_8861884170549731378_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/557757919_1388709259923050_8861884170549731378_n.jpg 1128w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><h3 id="2-memanfaatkan-platform-pembelajaran-digital">2. Memanfaatkan Platform Pembelajaran Digital</h3><p>Pemanfaatan platform pembelajaran digital dapat membantu proses belajar mengajar menjadi lebih fleksibel, interaktif, dan efisien. Guru dapat menggunakan <em>Learning Management System</em> (LMS), video pembelajaran, bank soal digital, maupun kuis online untuk menyampaikan materi dan melakukan evaluasi pembelajaran. Selain memudahkan pengelolaan kelas, platform digital juga memungkinkan siswa belajar secara mandiri serta berkolaborasi dengan teman melalui berbagai fitur diskusi dan tugas daring. Dengan demikian, pembelajaran menjadi lebih menarik sekaligus meningkatkan keterampilan digital seluruh warga sekolah.</p><h3 id="3-melatih-kemampuan-mencari-dan-memverifikasi-informasi">3. Melatih Kemampuan Mencari dan Memverifikasi Informasi</h3><p>Kemampuan mencari informasi saja tidak cukup apabila tidak diimbangi dengan kemampuan memverifikasi kebenarannya. Guru dan siswa perlu dibiasakan untuk memilih sumber yang kredibel, membandingkan informasi dari beberapa referensi, serta memeriksa keakuratan data sebelum menggunakannya. Keterampilan ini sangat penting untuk menghindari penyebaran hoaks maupun informasi yang menyesatkan. Selain itu, kemampuan berpikir kritis dalam mengevaluasi informasi juga akan membantu peserta didik membuat keputusan berdasarkan data yang valid.</p><h3 id="4-mengembangkan-etika-dan-keamanan-digital">4. Mengembangkan Etika dan Keamanan Digital</h3><p>Literasi digital juga mencakup pemahaman mengenai etika dan keamanan saat beraktivitas di ruang digital. Guru dan siswa perlu memahami pentingnya menjaga privasi data pribadi, menghormati hak cipta, menggunakan bahasa yang santun saat berkomunikasi, serta menyadari bahwa setiap aktivitas di internet meninggalkan jejak digital. Dengan membangun budaya digital yang beretika dan bertanggung jawab, lingkungan belajar akan menjadi lebih aman sekaligus mendorong penggunaan teknologi secara positif.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/v5_gYBtfCKE?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Elemen Literasi dan Etika Kecerdasan Artifisial | Kecerdasan Artifisial SD-SMP"></iframe></figure><h3 id="5-mengintegrasikan-teknologi-dalam-proses-pembelajaran">5. Mengintegrasikan Teknologi dalam Proses Pembelajaran</h3><p>Teknologi akan memberikan manfaat maksimal apabila diintegrasikan secara tepat ke dalam kegiatan belajar mengajar. Guru dapat memanfaatkan presentasi interaktif, video edukasi, aplikasi gamifikasi, maupun teknologi berbasis kecerdasan buatan (AI) untuk memperkaya pengalaman belajar siswa. Namun, penggunaan AI sebaiknya diposisikan sebagai alat bantu yang mendukung kreativitas dan efektivitas pembelajaran, bukan menggantikan peran guru sebagai fasilitator utama. Integrasi teknologi yang tepat akan menciptakan pembelajaran yang lebih aktif, menarik, dan berpusat pada peserta didik.</p><h3 id="6-mendorong-kolaborasi-dan-kreativitas-digital">6. Mendorong Kolaborasi dan Kreativitas Digital</h3><p>Penguasaan kompetensi digital akan semakin berkembang ketika guru dan siswa terbiasa menghasilkan karya serta bekerja sama menggunakan teknologi. Guru dapat memberikan proyek berbasis digital, seperti membuat presentasi multimedia, poster digital, infografis, atau video pembelajaran sederhana. Selain itu, kolaborasi melalui dokumen daring memungkinkan siswa bekerja dalam tim meskipun berada di lokasi yang berbeda. Aktivitas tersebut tidak hanya meningkatkan kemampuan menggunakan teknologi, tetapi juga melatih kreativitas, komunikasi, dan kerja sama.</p><h3 id="7-melakukan-evaluasi-dan-refleksi-penggunaan-teknologi">7. Melakukan Evaluasi dan Refleksi Penggunaan Teknologi</h3><p>Peningkatan kompetensi digital perlu disertai dengan evaluasi dan refleksi secara berkala. Guru dapat menilai efektivitas media atau aplikasi yang digunakan selama pembelajaran, meminta umpan balik dari siswa, serta mengidentifikasi kendala yang muncul dalam proses pembelajaran digital. Hasil evaluasi tersebut menjadi dasar untuk memilih teknologi yang paling sesuai dengan tujuan pembelajaran dan kebutuhan peserta didik. Dengan melakukan perbaikan secara berkelanjutan, pemanfaatan teknologi akan semakin optimal dan mampu mendukung terciptanya pembelajaran yang berkualitas.</p><h2 id="tantangan-meningkatkan-literasi-digital-indonesia">Tantangan Meningkatkan Literasi Digital Indonesia</h2><h3 id="1-kesenjangan-akses-internet-dan-perangkat-digital">1. Kesenjangan Akses Internet dan Perangkat Digital</h3><p>Salah satu tantangan terbesar dalam meningkatkan literasi digital Indonesia adalah belum meratanya akses terhadap internet dan perangkat digital. Di beberapa daerah, khususnya wilayah terpencil, keterbatasan jaringan internet maupun fasilitas teknologi membuat guru dan siswa sulit memanfaatkan pembelajaran berbasis digital secara optimal. Kondisi ini menyebabkan adanya kesenjangan kesempatan dalam mengembangkan kompetensi digital.</p><h3 id="2-perbedaan-kompetensi-digital-guru">2. Perbedaan Kompetensi Digital Guru</h3><p>Kemampuan guru dalam memanfaatkan teknologi masih beragam. Sebagian guru telah terbiasa menggunakan berbagai platform pembelajaran digital, sementara sebagian lainnya masih memerlukan pendampingan untuk mengoperasikan perangkat maupun aplikasi pembelajaran. Oleh karena itu, diperlukan pelatihan yang berkelanjutan agar seluruh guru memiliki kompetensi digital yang memadai dan mampu menciptakan pembelajaran yang lebih efektif.</p><h3 id="3-kurangnya-pelatihan-yang-berkelanjutan">3. Kurangnya Pelatihan yang Berkelanjutan</h3><p>Perkembangan teknologi yang sangat cepat menuntut guru dan tenaga pendidik untuk terus memperbarui pengetahuan serta keterampilan digital. Namun, tidak semua sekolah memiliki kesempatan untuk menyelenggarakan pelatihan secara rutin. Akibatnya, pemanfaatan teknologi dalam pembelajaran sering kali belum maksimal dan masih terbatas pada penggunaan fitur-fitur dasar.</p><h3 id="4-risiko-penyebaran-hoaks-dan-informasi-yang-tidak-valid">4. Risiko Penyebaran Hoaks dan Informasi yang Tidak Valid</h3><p>Kemudahan mengakses informasi melalui internet juga meningkatkan risiko penyebaran berita palsu atau hoaks. Tanpa kemampuan memverifikasi sumber informasi, guru maupun siswa dapat dengan mudah mempercayai atau menyebarkan informasi yang belum tentu benar. Karena itu, kemampuan berpikir kritis dan mengevaluasi kredibilitas sumber menjadi bagian penting dari literasi digital.</p><h3 id="5-rendahnya-kesadaran-tentang-etika-dan-keamanan-digital">5. Rendahnya Kesadaran tentang Etika dan Keamanan Digital</h3><p>Tantangan lainnya adalah masih rendahnya pemahaman mengenai etika serta keamanan dalam menggunakan teknologi digital. Masih ditemukan perilaku seperti membagikan data pribadi secara sembarangan, melakukan plagiarisme, hingga kurang bijak saat berinteraksi di media digital. Oleh sebab itu, pendidikan mengenai etika digital, privasi data, dan keamanan siber perlu ditanamkan sejak dini agar penggunaan teknologi menjadi lebih aman dan bertanggung jawab.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/menanamkan-pendidikan-karakter-di-era-digital/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Mengapa Pendidikan Karakter dan Literasi Digital Penting untuk Generasi Muda?</div><div class="kg-bookmark-description">Pendidikan karakter membangun landasan moral untuk tahu nilai-nilai yang benar, sedangkan literasi digital membekali kemampuan untuk menerapkannya</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2025/10/pexels-thirdman-8926641.jpg" alt="Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa"></div></a></figure><h3 id="6-pemanfaatan-teknologi-yang-belum-optimal-dalam-pembelajaran">6. Pemanfaatan Teknologi yang Belum Optimal dalam Pembelajaran</h3><p>Meskipun banyak sekolah telah memiliki akses terhadap perangkat digital, pemanfaatannya belum selalu mendukung pembelajaran yang interaktif. Teknologi terkadang hanya digunakan sebagai media presentasi tanpa melibatkan aktivitas yang mendorong kolaborasi, kreativitas, atau berpikir kritis siswa. Padahal, penggunaan teknologi yang tepat dapat meningkatkan keterlibatan peserta didik dan membuat proses belajar menjadi lebih bermakna.</p><h3 id="7-kurangnya-kolaborasi-antar-pemangku-kepentingan">7. Kurangnya Kolaborasi Antar Pemangku Kepentingan</h3><p>Peningkatan literasi digital Indonesia tidak dapat menjadi tanggung jawab sekolah atau guru saja. Dukungan dari orang tua, pemerintah, serta berbagai lembaga pendidikan juga sangat diperlukan untuk menciptakan ekosistem digital yang sehat. Melalui kolaborasi dalam penyediaan infrastruktur, pelatihan, dan edukasi mengenai penggunaan teknologi yang bijak, upaya meningkatkan kompetensi digital guru dan siswa dapat berjalan lebih efektif dan berkelanjutan.</p><h3 id="kesimpulan">Kesimpulan:</h3><p>Literasi digital Indonesia menjadi salah satu kompetensi penting yang perlu terus dikembangkan untuk menghadapi perubahan dunia pendidikan di era teknologi. Dengan kemampuan digital yang baik, guru dapat menciptakan pembelajaran yang lebih inovatif, sementara siswa mampu memanfaatkan teknologi untuk mencari informasi, berpikir kritis, berkolaborasi, dan menghasilkan karya secara kreatif. Meskipun masih terdapat berbagai tantangan, seperti keterbatasan akses teknologi dan perbedaan kemampuan digital, peningkatan literasi digital dapat dilakukan melalui pelatihan berkelanjutan, pemanfaatan platform pembelajaran digital, serta penguatan etika dalam penggunaan teknologi. </p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260314-WA0016--1-.jpg" class="kg-image" alt="Literasi Digital Indonesia: 7 Cara Meningkatkan Kompetensi Digital Guru dan Siswa" loading="lazy" width="900" height="1600" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260314-WA0016--1-.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260314-WA0016--1-.jpg 900w" sizes="(min-width: 720px) 720px"><figcaption>pelatihan kejarcita</figcaption></figure><p>Bagi sekolah yang ingin meningkatkan kompetensi digital guru dan menciptakan pembelajaran yang lebih adaptif, kejarcita menyediakan berbagai program pelatihan pendidikan yang dapat membantu pendidik mengembangkan keterampilan sesuai kebutuhan era digital. Kejarcita juga mendukung pelaksanaan pelatihan secara lebih mudah dengan layanan administrasi kegiatan secara menyeluruh sehingga sekolah dapat lebih fokus pada peningkatan kualitas pembelajaran.</p>]]></content:encoded></item><item><title><![CDATA[7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa]]></title><description><![CDATA[Estafet membaca merupakan lomba yang mengajak siswa membaca potongan cerita secara bergantian hingga seluruh anggota tim memperoleh informasi yang lengkap]]></description><link>https://blog.kejarcita.id/7-ide-lomba-17-agustus-yang-menguatkan-literasi-numerasi-dan-kolaborasi-siswa/</link><guid isPermaLink="false">6a7546d1d70df340d1086b30</guid><category><![CDATA[edukasi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Tue, 11 Aug 2026 05:42:27 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-nasirun-khan-102497153-32091210.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-nasirun-khan-102497153-32091210.jpg" alt="7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa"><p>Peringatan Hari Kemerdekaan Indonesia selalu identik dengan berbagai perlombaan yang mampu menciptakan suasana meriah di lingkungan sekolah. Mulai dari lomba tradisional hingga permainan kelompok, kegiatan ini menjadi momen yang dinantikan oleh siswa karena memberikan pengalaman belajar yang menyenangkan di luar rutinitas kelas. Namun, seiring berkembangnya pendekatan pembelajaran, lomba 17 Agustus tidak hanya berfungsi sebagai hiburan, tetapi juga dapat dirancang untuk mengembangkan berbagai kompetensi penting. Guru dapat mengintegrasikan aktivitas yang melatih kemampuan literasi, numerasi, komunikasi, berpikir kritis, kreativitas, hingga kolaborasi dalam setiap permainan. Dengan demikian, peringatan HUT RI tidak hanya memperkuat semangat nasionalisme, tetapi juga menjadi kesempatan untuk menciptakan pembelajaran yang lebih bermakna dan relevan dengan kebutuhan siswa. Berikut tujuh ide lomba 17 Agustus yang dapat diterapkan di sekolah untuk menguatkan literasi, numerasi, dan kolaborasi siswa.</p><h2 id="mengapa-lomba-17-agustus-perlu-memiliki-nilai-edukatif">Mengapa Lomba 17 Agustus Perlu Memiliki Nilai Edukatif?</h2><h3 id="1-meningkatkan-motivasi-belajar-melalui-aktivitas-yang-menyenangkan">1. Meningkatkan Motivasi Belajar melalui Aktivitas yang Menyenangkan</h3><p>Suasana lomba yang penuh semangat dapat membuat siswa lebih antusias untuk mengikuti kegiatan pembelajaran. Ketika materi dikemas dalam bentuk permainan atau tantangan, siswa cenderung merasa belajar sebagai aktivitas yang menyenangkan, bukan sekadar kewajiban. Hal ini dapat meningkatkan motivasi mereka untuk aktif berpartisipasi sekaligus membangun pengalaman belajar yang lebih berkesan.</p><h3 id="2-melatih-berpikir-kritis-dan-pemecahan-masalah">2. Melatih Berpikir Kritis dan Pemecahan Masalah</h3><p>Banyak lomba edukatif yang mengharuskan siswa menganalisis informasi, menyusun strategi, atau menemukan solusi dalam waktu tertentu. Proses ini <a href="https://blog.kejarcita.id/7-kegiatan-belajar-yang-meningkatkan-kemampuan-berpikir-kritis-dan-problem-solving-siswa">melatih kemampuan berpikir kritis </a>dan pemecahan masalah, karena siswa dituntut untuk mempertimbangkan berbagai alternatif sebelum mengambil keputusan. Keterampilan ini penting untuk membantu siswa menghadapi berbagai tantangan, baik di lingkungan sekolah maupun dalam kehidupan sehari-hari.</p><h3 id="3-mengembangkan-kemampuan-komunikasi">3. Mengembangkan Kemampuan Komunikasi</h3><p>Sebagian besar lomba dilakukan secara berkelompok sehingga siswa perlu berdiskusi, menyampaikan pendapat, mendengarkan ide teman, dan mencapai kesepakatan bersama. Interaksi tersebut membantu siswa mengembangkan kemampuan komunikasi yang efektif, termasuk menyampaikan gagasan dengan jelas dan menghargai sudut pandang orang lain. Kemampuan ini menjadi bekal penting dalam proses belajar maupun saat berinteraksi di lingkungan sosial.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/5-tips-meningkatkan-keterampilan-komunikasi-anak/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">5 Tips Meningkatkan Keterampilan Komunikasi Anak</div><div class="kg-bookmark-description">Menurut Petrie, 1997 kecepatan perkembangan komunikasi serta bahasa anak-anak akan ditentukan sebagaimana cara orang dewasa menghargai bahasa anak-anak, misalnya pada saat Anda mendengarkan anak, berarti Anda telah menunjukkan perhatian kepada mereka serta mengembangkan kepercayaan diri mereka.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Epin Supini</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2020/10/yannis-h-uaPaEM7MiQQ-unsplash.jpg" alt="7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa"></div></a></figure><h3 id="4-membangun-kerja-sama-antarsiswa">4. Membangun Kerja Sama Antarsiswa</h3><p>Keberhasilan dalam perlombaan sering kali bergantung pada kemampuan anggota tim untuk bekerja sama. Setiap siswa belajar membagi tugas, saling membantu, dan menggabungkan kekuatan masing-masing demi mencapai tujuan bersama. Pengalaman ini dapat menumbuhkan rasa tanggung jawab, saling percaya, serta kesadaran bahwa keberhasilan tim merupakan hasil kontribusi seluruh anggotanya.</p><h3 id="5-menumbuhkan-karakter-positif">5. Menumbuhkan Karakter Positif</h3><p>Selain mengembangkan kemampuan akademik, lomba 17 Agustus juga menjadi sarana untuk menanamkan nilai-nilai karakter. Selama mengikuti perlombaan, siswa belajar bersikap jujur, disiplin, sportif, bertanggung jawab, serta menghargai kemenangan maupun kekalahan. Nilai-nilai tersebut penting untuk membentuk karakter siswa yang tidak hanya berprestasi, tetapi juga mampu berinteraksi secara positif dengan lingkungan sekitarnya.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/481134154_1789340338465718_7491829392094836781_n.jpg" class="kg-image" alt="7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa" loading="lazy" width="1025" height="1860" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/481134154_1789340338465718_7491829392094836781_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/481134154_1789340338465718_7491829392094836781_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/481134154_1789340338465718_7491829392094836781_n.jpg 1025w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><h2 id="7-ide-lomba-17-agustus-yang-menguatkan-literasi-numerasi-dan-kolaborasi">7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi</h2><h3 id="1-estafet-membaca-dan-menyusun-cerita">1. Estafet Membaca dan Menyusun Cerita</h3><p>Estafet membaca merupakan lomba yang mengajak siswa membaca potongan cerita secara bergantian hingga seluruh anggota tim memperoleh informasi yang lengkap. Setelah itu, setiap kelompok diminta menyusun urutan cerita yang benar dan mempresentasikan kembali isi bacaan dengan bahasa mereka sendiri. Kegiatan ini tidak hanya melatih kemampuan membaca pemahaman, tetapi juga kemampuan menyimak, berkomunikasi, dan bekerja sama. Agar lebih relevan dengan peringatan HUT RI, guru dapat menggunakan cerita bertema perjuangan pahlawan atau semangat persatuan.</p><h3 id="alat-yang-dibutuhkan">Alat yang dibutuhkan:</h3><ul><li>Potongan cerita</li><li>Lembar jawaban</li><li>Stopwatch</li><li>Papan alas atau meja</li></ul><h3 id="cara-bermain">Cara bermain:</h3><ol><li>Bagi siswa menjadi beberapa kelompok yang terdiri atas 4&#x2013;6 orang.</li><li>Setiap anggota mengambil satu potongan cerita secara bergantian.</li><li>Setelah semua potongan terkumpul, kelompok berdiskusi untuk menyusun urutan cerita yang benar.</li><li>Kelompok yang selesai lebih dulu mengangkat tangan dan membacakan ringkasan cerita di depan kelas.</li><li>Penilaian didasarkan pada ketepatan urutan, isi ringkasan, dan waktu penyelesaian.</li></ol><h3 id="2-tebak-kata-kemerdekaan">2. Tebak Kata Kemerdekaan</h3><p>Lomba tebak kata dapat dikemas menggunakan kartu berisi kosakata yang berkaitan dengan Hari Kemerdekaan, seperti &quot;proklamasi&quot;, &quot;Pancasila&quot;, &quot;gotong royong&quot;, atau nama tokoh nasional. Salah satu anggota tim memberikan petunjuk melalui gerakan, gambar sederhana, atau deskripsi tanpa menyebutkan kata yang dimaksud, sementara anggota lainnya menebak dalam batas waktu tertentu. Permainan ini membantu memperkaya kosakata siswa sekaligus melatih kemampuan komunikasi, berpikir cepat, dan kolaborasi antarteman.</p><h3 id="alat-yang-dibutuhkan-1">Alat yang dibutuhkan:</h3><ul><li>Kartu berisi kosakata</li><li>Timer</li></ul><h3 id="contoh-kata">Contoh kata:</h3><ul><li>Proklamasi</li><li>Garuda</li><li>Bendera</li><li>Gotong royong</li><li>Pahlawan</li><li>Merdeka</li><li>Persatuan</li></ul><h3 id="cara-bermain-1">Cara bermain:</h3><ol><li>Bentuk kelompok berisi 4&#x2013;5 siswa.</li><li>Salah satu anggota mengambil satu kartu.</li><li>Ia menjelaskan kata tersebut menggunakan gerakan atau deskripsi tanpa menyebutkan kata yang ada di kartu.</li><li>Anggota kelompok menebak dalam waktu 30&#x2013;60 detik.</li><li>Kelompok dengan jawaban benar terbanyak menjadi pemenang.</li></ol><h3 id="3-tantangan-numerasi-cepat">3. Tantangan Numerasi Cepat</h3><p>Tantangan numerasi cepat dapat dilakukan secara beregu dengan memberikan serangkaian soal matematika sederhana yang harus diselesaikan dalam waktu tertentu. Soal dapat berupa operasi hitung, pola bilangan, logika matematika, atau permasalahan kontekstual yang dekat dengan kehidupan sehari-hari. Setiap anggota tim dapat bergantian menyelesaikan soal sehingga seluruh siswa terlibat aktif. Melalui kegiatan ini, siswa tidak hanya mengasah kemampuan berhitung, tetapi juga belajar menyusun strategi, berpikir logis, dan bekerja sama untuk memperoleh skor terbaik.</p><h3 id="alat-yang-dibutuhkan-2">Alat yang dibutuhkan:</h3><ul><li>Kartu soal numerasi</li><li>Pensil</li><li>Lembar jawaban</li><li>Stopwatch</li></ul><h3 id="contoh-soal">Contoh soal:</h3><ul><li>Operasi hitung</li><li>Pola bilangan</li><li>Pecahan sederhana</li><li>Soal cerita</li><li>Logika matematika</li></ul><h3 id="cara-bermain-2">Cara bermain:</h3><ol><li>Setiap kelompok berbaris.</li><li>Anggota pertama mengambil satu soal lalu mengerjakannya.</li><li>Jika benar, anggota berikutnya boleh mengambil soal berikutnya.</li><li>Jika salah, kelompok harus memperbaiki jawaban sebelum lanjut.</li><li>Kelompok yang menyelesaikan seluruh soal paling cepat menjadi pemenang.</li></ol><h3 id="4-puzzle-peta-indonesia">4. Puzzle Peta Indonesia</h3><p>Pada lomba ini, setiap kelompok diberi potongan puzzle berbentuk peta Indonesia yang harus disusun dengan tepat dalam waktu yang telah ditentukan. Setelah puzzle selesai, guru dapat memberikan tantangan tambahan, seperti menyebutkan nama pulau, provinsi, budaya daerah, atau hasil alam dari wilayah tertentu. Aktivitas ini membuat siswa lebih mengenal keberagaman Indonesia secara menyenangkan sekaligus melatih ketelitian, kemampuan berpikir spasial, dan kerja sama dalam menyelesaikan tugas bersama.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/Y7P1vz5Il04?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Komponen-Komponen Peta | Geografi SMA"></iframe></figure><h3 id="alat-yang-dibutuhkan-3">Alat yang dibutuhkan:</h3><ul><li>Puzzle peta Indonesia (dicetak dan dipotong)</li><li>Lem atau alas puzzle</li><li>Stopwatch</li></ul><h3 id="cara-bermain-3">Cara bermain:</h3><ol><li>Guru membagikan potongan puzzle kepada setiap kelompok.</li><li>Kelompok menyusun puzzle hingga membentuk peta Indonesia.</li><li>Setelah selesai, guru memberikan pertanyaan tambahan, misalnya:</li></ol><ul><li>Sebutkan lima pulau terbesar.</li><li>Di mana letak Provinsi Aceh?</li><li>Apa rumah adat dari Sulawesi Selatan?</li></ul><p>4. Nilai diperoleh dari kecepatan dan ketepatan jawaban.</p><h3 id="5-misi-mencari-informasi-literacy-treasure-hunt">5. Misi Mencari Informasi <em>(Literacy Treasure Hunt)</em></h3><p>Guru dapat membuat beberapa pos yang berisi bacaan singkat, poster, infografik, atau petunjuk yang harus dibaca oleh setiap kelompok. Dari informasi tersebut, siswa diminta menjawab pertanyaan atau menemukan petunjuk berikutnya hingga mencapai garis akhir. Kegiatan ini mendorong siswa untuk membaca dengan cermat, memahami isi informasi, serta berdiskusi sebelum mengambil keputusan. Selain meningkatkan kemampuan literasi membaca, lomba ini juga melatih berpikir kritis, komunikasi, dan kemampuan memecahkan masalah secara kolaboratif.</p><h3 id="alat-yang-dibutuhkan-4">Alat yang dibutuhkan:</h3><ul><li>Kartu petunjuk</li><li>Artikel pendek atau infografik</li><li>Amplop</li><li>Kertas jawaban</li></ul><h3 id="cara-bermain-4">Cara bermain:</h3><ol><li>Guru menyiapkan beberapa pos di area sekolah.</li><li>Setiap pos berisi bacaan singkat dan satu pertanyaan.</li><li>Jika kelompok menjawab benar, mereka memperoleh petunjuk menuju pos berikutnya.</li><li>Kelompok yang berhasil mencapai pos terakhir dengan jawaban paling banyak benar menjadi pemenang.</li></ol><h3 id="6-bangun-menara-dari-bahan-sederhana">6. Bangun Menara dari Bahan Sederhana</h3><p>Lomba membangun menara dapat menggunakan bahan sederhana, seperti sedotan, stik es krim, kertas, dan selotip. Setiap kelompok diberi waktu tertentu untuk merancang dan membangun menara yang paling tinggi atau paling kokoh sesuai aturan yang telah ditetapkan. Selama proses berlangsung, siswa belajar berdiskusi, membagi tugas, menguji berbagai ide, dan mengevaluasi hasil rancangan mereka. Aktivitas ini efektif untuk mengembangkan kreativitas, kemampuan berpikir inovatif, perencanaan, serta kerja sama dalam tim.</p><h3 id="alat-yang-dibutuhkan-5">Alat yang dibutuhkan:</h3><ul><li>Sedotan</li><li>Stik es krim</li><li>Kertas</li><li>Selotip</li><li>Gunting</li><li>Penggaris</li></ul><h3 id="cara-bermain-5">Cara bermain:</h3><ol><li>Setiap kelompok menerima jumlah bahan yang sama.</li><li>Guru memberikan waktu sekitar 20 menit.</li><li>Kelompok merancang dan membangun menara setinggi mungkin.</li><li>Setelah waktu habis, guru mengukur tinggi menara.</li><li>Bonus poin diberikan apabila menara mampu berdiri sendiri selama satu menit.</li></ol><h3 id="7-kuis-cerdas-kemerdekaan">7. Kuis Cerdas Kemerdekaan</h3><p>Kuis cerdas kemerdekaan dapat diselenggarakan dalam format beregu dengan pertanyaan seputar sejarah Indonesia, tokoh nasional, Pancasila, simbol negara, budaya daerah, hingga pengetahuan umum tentang Hari Kemerdekaan. Guru juga dapat menambahkan soal berbasis gambar, teka-teki, atau studi kasus sederhana agar suasana semakin interaktif. Selain memperluas wawasan siswa, kegiatan ini melatih kemampuan berpikir cepat, mengingat informasi, berkomunikasi, dan bekerja sama dalam menentukan jawaban yang tepat. Dengan suasana yang kompetitif namun menyenangkan, siswa akan lebih antusias untuk belajar tentang Indonesia.</p><h3 id="alat-yang-dibutuhkan-6">Alat yang dibutuhkan:</h3><ul><li>Daftar pertanyaan</li><li>Bel atau kartu jawaban</li><li>Proyektor (opsional)</li><li>Papan skor</li></ul><h3 id="kategori-soal">Kategori soal:</h3><ul><li>Sejarah Indonesia</li><li>Tokoh nasional</li><li>Pancasila</li><li>Lagu wajib nasional</li><li>Keberagaman budaya</li><li>Pengetahuan umum</li></ul><h3 id="cara-bermain-6">Cara bermain:</h3><ol><li>Siswa dibagi menjadi beberapa kelompok.</li><li>Guru membacakan pertanyaan secara bergantian.</li><li>Kelompok tercepat mengangkat bel atau kartu untuk menjawab.</li><li>Jawaban benar mendapat poin, sedangkan jawaban salah memberi kesempatan kepada kelompok lain.</li><li>Kelompok dengan poin tertinggi menjadi juara.</li></ol><h2 id="tips-agar-lomba-17-agustus-tetap-bermakna">Tips Agar Lomba 17 Agustus Tetap Bermakna</h2><h3 id="1-sesuaikan-tingkat-kesulitan-dengan-jenjang-siswa">1. Sesuaikan tingkat kesulitan dengan jenjang siswa</h3><p>Pilih jenis lomba yang sesuai dengan usia, kemampuan, dan perkembangan peserta didik. Lomba yang terlalu mudah dapat membuat siswa cepat bosan, sedangkan lomba yang terlalu sulit justru berpotensi menurunkan motivasi. Dengan tingkat kesulitan yang tepat, seluruh siswa dapat berpartisipasi secara optimal.</p><h3 id="2-gunakan-alat-yang-sederhana-dan-mudah-diperoleh">2. Gunakan alat yang sederhana dan mudah diperoleh</h3><p>Lomba edukatif tidak harus menggunakan perlengkapan yang mahal. Guru dapat memanfaatkan bahan-bahan yang tersedia di sekolah, seperti kertas, kartu soal, sedotan, stik es krim, atau benda bekas yang masih layak pakai. Selain lebih hemat, cara ini juga dapat mengajarkan siswa untuk lebih kreatif dalam memanfaatkan sumber daya yang ada.</p><h3 id="3-libatkan-seluruh-siswa-agar-aktif-berpartisipasi">3. Libatkan seluruh siswa agar aktif berpartisipasi</h3><p>Rancang perlombaan yang memberikan kesempatan bagi setiap anggota tim untuk berkontribusi. Misalnya, dengan membagi peran sesuai kemampuan masing-masing, seperti membaca petunjuk, menghitung skor, menyusun strategi, atau mempresentasikan hasil. Dengan begitu, setiap siswa merasa dihargai dan memiliki peran penting dalam keberhasilan kelompok.</p><h3 id="4-berikan-apresiasi-tidak-hanya-kepada-pemenang">4. Berikan apresiasi tidak hanya kepada pemenang</h3><p>Selain memberikan penghargaan bagi juara, guru juga dapat memberikan apresiasi untuk kategori lain, seperti tim paling kompak, peserta paling kreatif, atau kelompok dengan sportivitas terbaik. Penghargaan yang beragam dapat meningkatkan rasa percaya diri siswa sekaligus menanamkan bahwa proses belajar dan kerja sama sama pentingnya dengan hasil akhir.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/cara-membangun-motivasi-belajar-anak/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Cara Membangun Motivasi Belajar Anak</div><div class="kg-bookmark-description">Salah satu cara membangun motivasi belajar anak yaitu dengan meningkatkan baca anak. Perlu orangtua ketahui bahwa membaca merupakan salah satu cara yang dapat dilakukan anak untuk meningkatkan motivasi belajarnya.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2023/02/pexels-rodnae-productions-7092365.jpg" alt="7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa"></div></a></figure><h3 id="5-lakukan-refleksi-singkat-setelah-perlombaan">5. Lakukan refleksi singkat setelah perlombaan</h3><p>Setelah seluruh kegiatan selesai, ajak siswa berdiskusi mengenai pengalaman yang mereka peroleh selama mengikuti lomba. Guru dapat mengajukan pertanyaan sederhana, seperti tantangan yang dihadapi, strategi yang digunakan, atau pelajaran yang dapat diterapkan dalam kehidupan sehari-hari. Refleksi ini membantu siswa memahami bahwa setiap permainan juga mengandung nilai-nilai pembelajaran yang bermanfaat.</p><h3 id="kesimpulan">Kesimpulan:</h3><p>Lomba 17 Agustus tidak harus selalu identik dengan permainan tradisional semata, tetapi juga dapat menjadi media pembelajaran yang menyenangkan dan bermakna. Dengan mengintegrasikan unsur literasi, numerasi, serta kolaborasi dalam setiap kegiatan, guru dapat menciptakan pengalaman belajar yang mampu meningkatkan keterampilan akademik sekaligus membentuk karakter positif siswa, seperti kerja sama, sportivitas, dan tanggung jawab. Berbagai ide lomba yang telah dibahas dapat disesuaikan dengan jenjang pendidikan, kondisi sekolah, maupun tujuan pembelajaran yang ingin dicapai sehingga peringatan Hari Kemerdekaan menjadi lebih berkesan dan memberikan dampak positif bagi perkembangan siswa. </p><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260727-WA0002--1-.jpg" class="kg-image" alt="7 Ide Lomba 17 Agustus yang Menguatkan Literasi, Numerasi, dan Kolaborasi Siswa" loading="lazy" width="899" height="1599" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260727-WA0002--1-.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260727-WA0002--1-.jpg 899w" sizes="(min-width: 720px) 720px"></figure><p>Untuk mendukung guru dalam menghadirkan pembelajaran yang kreatif dan inovatif, kejarcita menyediakan berbagai pelatihan yang membekali pendidik dengan strategi pembelajaran aktif, penguatan literasi dan numerasi, pemanfaatan teknologi, hingga penyusunan perangkat ajar. Dengan demikian, guru dapat terus mengembangkan kompetensinya sekaligus menciptakan kegiatan belajar yang lebih menarik, bermakna, dan sesuai dengan kebutuhan peserta didik di era saat ini.</p>]]></content:encoded></item><item><title><![CDATA[Tips Membuat Soal HOTS]]></title><description><![CDATA[<p>Menyusun soal HOTS nggak harus rumit loh Gurucita. Dan perlu diingat, soal HOTS bukan berarti soal yang sulit ya. Soal HOTS dirancang untuk mendorong siswa berpikir kritis, bernalar, menganalisis informasi, serta memecahkan masalah, bukan sekadar menghafal materi.</p><p>Lalu, bagaimana cara menyusun soal HOTS yang efektif dan tetap mudah dipahami siswa?</p>]]></description><link>https://blog.kejarcita.id/tips-membuat-soal-hots/</link><guid isPermaLink="false">6a79275bd70df340d1086bdd</guid><category><![CDATA[infografis]]></category><dc:creator><![CDATA[Kejarcita]]></dc:creator><pubDate>Mon, 10 Aug 2026 01:22:12 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/764006645_1671114288349211_3464953518199594402_n.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/764006645_1671114288349211_3464953518199594402_n.jpg" alt="Tips Membuat Soal HOTS"><p>Menyusun soal HOTS nggak harus rumit loh Gurucita. Dan perlu diingat, soal HOTS bukan berarti soal yang sulit ya. Soal HOTS dirancang untuk mendorong siswa berpikir kritis, bernalar, menganalisis informasi, serta memecahkan masalah, bukan sekadar menghafal materi.</p><p>Lalu, bagaimana cara menyusun soal HOTS yang efektif dan tetap mudah dipahami siswa? Yuk, simak tipsnya di postingan ini!</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/764006645_1671114288349211_3464953518199594402_n-1.jpg" class="kg-image" alt="Tips Membuat Soal HOTS" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/764006645_1671114288349211_3464953518199594402_n-1.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/764006645_1671114288349211_3464953518199594402_n-1.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/764006645_1671114288349211_3464953518199594402_n-1.jpg 1128w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure>]]></content:encoded></item><item><title><![CDATA[7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital]]></title><description><![CDATA[Generasi Alfa dikenal memiliki rasa ingin tahu yang besar dan senang mencoba hal-hal baru]]></description><link>https://blog.kejarcita.id/7-strategi-pembelajaran-berdiferensiasi-efektif-bagi-generasi-alfa-di-era-digital/</link><guid isPermaLink="false">6a6a8ade66a1b904b0daadf2</guid><category><![CDATA[edukasi]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Sat, 08 Aug 2026 01:23:00 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-nasirun-khan-102497153-16850898.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-nasirun-khan-102497153-16850898.jpg" alt="7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital"><p>Perkembangan teknologi digital telah membawa perubahan besar dalam berbagai aspek kehidupan, termasuk dunia pendidikan. Peserta didik saat ini, khususnya Generasi Alfa, tumbuh di lingkungan yang dikelilingi oleh internet, perangkat digital, dan berbagai aplikasi yang memudahkan mereka mengakses informasi sejak usia dini. Kondisi tersebut membentuk karakteristik serta gaya belajar yang berbeda dibandingkan generasi sebelumnya, sehingga pendekatan pembelajaran yang konvensional sering kali kurang mampu memenuhi kebutuhan mereka. Oleh karena itu, guru perlu menyesuaikan strategi mengajar agar pembelajaran menjadi lebih menarik, interaktif, dan relevan dengan kehidupan siswa. <a href="https://blog.kejarcita.id/bagaimana-guru-memanfaatkan-teknologi-digital-untuk-mengajar-lebih-efektif/">Pemanfaatan teknologi,</a> penerapan metode pembelajaran yang berpusat pada siswa, serta pengembangan keterampilan abad ke-21 menjadi langkah penting untuk menciptakan pengalaman belajar yang efektif. </p><h2 id="mengenal-karakteristik-generasi-alfa">Mengenal Karakteristik Generasi Alfa</h2><h3 id="1-lahir-sekitar-tahun-2010-ke-atas">1. Lahir sekitar tahun 2010 ke atas</h3><p>Generasi Alfa merupakan kelompok anak yang lahir mulai sekitar tahun 2010 hingga pertengahan dekade 2020-an. Mereka tumbuh di tengah perkembangan teknologi yang sangat pesat sehingga sejak usia dini telah terbiasa menggunakan perangkat digital dalam kehidupan sehari-hari. Kondisi ini membuat mereka memiliki pola pikir, cara berinteraksi, dan gaya belajar yang berbeda dibandingkan generasi sebelumnya.</p><h3 id="2-terbiasa-menggunakan-gadget-dan-internet-sejak-usia-dini">2. Terbiasa menggunakan gadget dan internet sejak usia dini</h3><p>Sejak kecil, Generasi Alfa telah mengenal smartphone, tablet, internet, hingga berbagai aplikasi digital. Pengalaman tersebut membuat mereka lebih mudah mengakses informasi dan memanfaatkan teknologi untuk belajar maupun berkomunikasi. Oleh karena itu, guru perlu memanfaatkan media digital sebagai bagian dari proses pembelajaran agar lebih sesuai dengan kebiasaan belajar siswa.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/5-cara-guru-tetap-relevan-mengajar-di-tengah-perkembangan-teknologi-pendidikan/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">5 Cara Guru Tetap Relevan Mengajar di Tengah Perkembangan Teknologi Pendidikan</div><div class="kg-bookmark-description">Kemampuan guru dalam mengikuti perkembangan teknologi pendidikan juga dapat membantu menciptakan pembelajaran yang lebih efektif dan menarik</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2026/05/pexels-eduard-perez-2158828645-37795361.jpg" alt="7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital"></div></a></figure><h3 id="3-lebih-menyukai-pembelajaran-visual-dan-interaktif">3. Lebih menyukai pembelajaran visual dan interaktif</h3><p>Generasi Alfa cenderung lebih tertarik pada materi yang disajikan melalui video, animasi, infografis, simulasi, maupun permainan edukatif dibandingkan pembelajaran yang hanya berpusat pada penjelasan lisan. Penyajian materi yang menarik dan interaktif dapat membantu meningkatkan perhatian, pemahaman konsep, sekaligus membuat proses belajar menjadi lebih menyenangkan.</p><h3 id="4-memiliki-rasa-ingin-tahu-tinggi-tetapi-rentang-perhatian-cenderung-lebih-singkat">4. Memiliki rasa ingin tahu tinggi, tetapi rentang perhatian cenderung lebih singkat</h3><p>Generasi Alfa dikenal memiliki rasa ingin tahu yang besar dan senang mencoba hal-hal baru. Namun, paparan informasi yang begitu cepat juga membuat mereka mudah kehilangan fokus apabila pembelajaran berlangsung monoton. Oleh karena itu, guru perlu merancang aktivitas belajar yang bervariasi, melibatkan siswa secara aktif, dan diselingi berbagai metode agar perhatian siswa tetap terjaga.</p><h2 id="mengapa-strategi-pembelajaran-berdiferensiasi-efektif-penting-bagi-generasi-alfa">Mengapa Strategi Pembelajaran Berdiferensiasi Efektif Penting bagi Generasi Alfa?</h2><h3 id="1-mengakomodasi-perbedaan-kebutuhan-belajar-siswa">1. Mengakomodasi Perbedaan Kebutuhan Belajar Siswa</h3><p>Setiap siswa memiliki kesiapan belajar, minat, dan gaya belajar yang berbeda. Strategi pembelajaran berdiferensiasi membantu guru menyesuaikan materi, aktivitas, maupun metode pembelajaran agar setiap peserta didik dapat belajar sesuai dengan kebutuhannya.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/726517075_1624435366350437_5985860050010437091_n.jpg" class="kg-image" alt="7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/726517075_1624435366350437_5985860050010437091_n.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/726517075_1624435366350437_5985860050010437091_n.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/726517075_1624435366350437_5985860050010437091_n.jpg 1128w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><h3 id="2-meningkatkan-fokus-dan-keterlibatan-siswa">2. Meningkatkan Fokus dan Keterlibatan Siswa</h3><p>Generasi Alfa cenderung memiliki rentang perhatian yang lebih singkat. Dengan menghadirkan variasi aktivitas, media pembelajaran, serta metode yang interaktif, guru dapat menjaga perhatian siswa dan membuat mereka lebih aktif selama proses pembelajaran.</p><h3 id="3-memberikan-kesempatan-belajar-yang-setara">3. Memberikan Kesempatan Belajar yang Setara</h3><p>Tidak semua siswa memiliki kemampuan maupun pengalaman yang sama dalam memahami materi atau memanfaatkan teknologi. Pembelajaran berdiferensiasi memungkinkan guru memberikan dukungan yang sesuai sehingga setiap siswa memiliki kesempatan yang sama untuk mencapai tujuan pembelajaran.</p><h3 id="4-meningkatkan-motivasi-dan-kepercayaan-diri">4. Meningkatkan Motivasi dan Kepercayaan Diri</h3><p>Ketika tugas dan tantangan disesuaikan dengan kemampuan siswa, mereka akan merasa lebih mampu menyelesaikan pembelajaran. Hal ini dapat meningkatkan motivasi belajar, rasa percaya diri, serta mendorong siswa untuk terus berkembang.</p><h3 id="5-mendukung-pembelajaran-yang-berpusat-pada-siswa">5. Mendukung Pembelajaran yang Berpusat pada Siswa</h3><p>Pembelajaran berdiferensiasi menempatkan siswa sebagai pusat proses belajar (<em>student-centered learning</em>). Guru berperan sebagai fasilitator yang membimbing setiap peserta didik agar dapat mengembangkan potensi, keterampilan, dan pemahamannya sesuai karakteristik masing-masing.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/pb9KJNg5f4c?start=90&amp;feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Pembelajaran yang Berpusat pada Siswa"></iframe></figure><h2 id="7-strategi-pembelajaran-berdiferensiasi-efektif-untuk-generasi-alfa">7 Strategi Pembelajaran Berdiferensiasi Efektif untuk Generasi Alfa</h2><h3 id="1-memetakan-kesiapan-belajar-siswa">1. Memetakan Kesiapan Belajar Siswa</h3><p>Langkah pertama dalam menerapkan pembelajaran berdiferensiasi adalah memahami kebutuhan belajar setiap siswa. Guru dapat melakukan pemetaan melalui asesmen awal, observasi, angket minat, wawancara sederhana, atau diskusi dengan siswa. Hasil pemetaan ini membantu guru mengetahui tingkat kesiapan belajar, minat, serta profil belajar siswa sehingga pembelajaran dapat dirancang lebih tepat sasaran. Dengan demikian, setiap peserta didik memperoleh pengalaman belajar yang sesuai dengan kemampuannya tanpa merasa terlalu terbebani atau justru kurang tertantang.</p><h3 id="2-menyesuaikan-materi-sesuai-kebutuhan-belajar">2. Menyesuaikan Materi Sesuai Kebutuhan Belajar</h3><p>Setelah mengetahui kebutuhan belajar siswa, guru dapat menyajikan materi dengan tingkat kompleksitas atau bentuk penyampaian yang berbeda sesuai karakteristik peserta didik. Misalnya, siswa yang masih membutuhkan penguatan konsep dapat diberikan materi dasar beserta contoh yang lebih sederhana, sedangkan siswa yang telah memahami materi dapat memperoleh tantangan melalui soal analisis atau kegiatan pengayaan. Penyesuaian materi ini bertujuan agar seluruh siswa dapat mencapai tujuan pembelajaran sesuai kemampuan masing-masing.</p><h3 id="3-menggunakan-media-pembelajaran-digital-yang-bervariasi">3. Menggunakan Media Pembelajaran Digital yang Bervariasi</h3><p>Generasi Alfa lebih mudah memahami materi melalui media yang menarik dan interaktif. Oleh karena itu, guru dapat memanfaatkan video pembelajaran, infografis, simulasi, kuis interaktif, maupun presentasi digital agar proses belajar lebih menyenangkan. Penggunaan media yang bervariasi juga membantu mengakomodasi berbagai gaya belajar siswa, baik visual, auditori, maupun kinestetik. Dengan memilih media yang tepat, pembelajaran menjadi lebih relevan dengan karakteristik peserta didik di era digital.</p><h3 id="4-memberikan-pilihan-aktivitas-belajar">4. Memberikan Pilihan Aktivitas Belajar</h3><p>Tidak semua siswa menunjukkan pemahaman dengan cara yang sama. Guru dapat memberikan beberapa pilihan aktivitas belajar, seperti membuat poster, presentasi, video pendek, mind map, laporan tertulis, atau praktik sederhana. Meskipun bentuk tugasnya berbeda, seluruh aktivitas tetap mengarah pada tujuan pembelajaran yang sama. Strategi ini memberikan kesempatan kepada siswa untuk belajar sekaligus menunjukkan pemahamannya sesuai minat, bakat, dan kekuatan yang dimiliki.</p><h3 id="5-menerapkan-project-based-learning-pjbl">5. Menerapkan <em>Project-Based Learning</em> (PjBL)</h3><p>Pembelajaran berbasis proyek memberikan kesempatan kepada siswa untuk belajar melalui pengalaman nyata. Dalam kegiatan ini, siswa bekerja secara individu maupun kelompok untuk menyelesaikan suatu proyek yang berkaitan dengan materi pembelajaran. Selain memperdalam pemahaman konsep, <em>Project-Based Learning</em> juga membantu mengembangkan keterampilan berpikir kritis, kreativitas, komunikasi, dan kolaborasi yang menjadi kompetensi penting di abad ke-21. Pendekatan ini sangat sesuai dengan karakteristik Generasi Alfa yang menyukai aktivitas eksploratif dan pembelajaran yang bermakna.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/C9OCbSFU2Y0?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="Energi dan Perubahannya | IPAS SD"></iframe></figure><h3 id="6-memberikan-asesmen-dan-umpan-balik-secara-berkelanjutan">6. Memberikan Asesmen dan Umpan Balik Secara Berkelanjutan</h3><p>Pembelajaran berdiferensiasi tidak berhenti pada penyampaian materi, tetapi juga memerlukan asesmen yang dilakukan secara berkelanjutan. Guru dapat menggunakan kuis singkat, diskusi, observasi, maupun penugasan untuk memantau perkembangan belajar siswa. Hasil asesmen tersebut kemudian dijadikan dasar dalam memberikan umpan balik yang spesifik dan membangun agar siswa mengetahui kelebihan, kekurangan, serta langkah yang perlu dilakukan untuk meningkatkan hasil belajarnya. Dengan cara ini, guru juga dapat menyesuaikan strategi pembelajaran sesuai perkembangan peserta didik.</p><h3 id="7-memanfaatkan-ai-dan-lms-untuk-mendukung-pembelajaran-personal">7. Memanfaatkan AI dan LMS untuk Mendukung Pembelajaran Personal</h3><p>Teknologi seperti <em>Artificial Intelligence</em> (AI) dan <em>Learning Management System</em> (LMS) dapat membantu guru menerapkan pembelajaran berdiferensiasi secara lebih efektif. Melalui LMS, guru dapat mengelola materi, tugas, asesmen, serta memantau perkembangan belajar setiap siswa dalam satu platform. Sementara itu, AI dapat dimanfaatkan untuk membantu menyusun perangkat ajar, membuat soal, memberikan ide aktivitas pembelajaran, hingga menghasilkan materi yang disesuaikan dengan kebutuhan peserta didik. Dengan dukungan teknologi tersebut, guru dapat memberikan pengalaman belajar yang lebih personal, efisien, dan sesuai dengan karakteristik Generasi Alfa.</p><h2 id="contoh-strategi-pembelajaran-berdiferensiasi-efektif-di-kelas">Contoh Strategi Pembelajaran Berdiferensiasi Efektif di Kelas</h2><p>Penerapan pembelajaran berdiferensiasi tidak selalu berarti guru harus membuat materi yang berbeda untuk setiap siswa. Guru dapat tetap mengajarkan tujuan pembelajaran yang sama, tetapi memberikan pilihan cara belajar atau bentuk tugas yang disesuaikan dengan kebutuhan, minat, dan profil belajar peserta didik. Dengan demikian, setiap siswa memiliki kesempatan untuk memahami materi melalui pendekatan yang paling sesuai dengan karakteristiknya.</p><p>Sebagai contoh, pada materi ekosistem, guru menetapkan tujuan pembelajaran agar seluruh siswa mampu menjelaskan komponen penyusun ekosistem serta hubungan antarmakhluk hidup di dalamnya. Namun, untuk mencapai tujuan tersebut, guru memberikan beberapa pilihan aktivitas, seperti:</p><ul><li>Siswa dengan gaya belajar visual membuat infografik yang menjelaskan komponen ekosistem beserta hubungan antarorganisme.</li><li>Siswa dengan gaya belajar auditori membuat podcast atau presentasi lisan yang membahas rantai makanan dan keseimbangan ekosistem.</li><li>Siswa dengan gaya belajar kinestetik membuat model atau diorama sederhana yang menggambarkan ekosistem beserta interaksi makhluk hidup di dalamnya.</li></ul><p>Meskipun bentuk aktivitas yang dikerjakan berbeda, seluruh siswa tetap mempelajari kompetensi yang sama dan dinilai berdasarkan indikator pencapaian yang telah ditetapkan. Pendekatan ini memungkinkan setiap peserta didik belajar sesuai kekuatannya, meningkatkan motivasi belajar, serta membantu guru menciptakan pembelajaran yang lebih inklusif dan berpusat pada siswa.</p><h2 id="tantangan-mengajar-generasi-alfa">Tantangan Mengajar Generasi Alfa</h2><h3 id="1-distraksi-gadget">1. Distraksi Gadget</h3><p>Perangkat digital memberikan banyak manfaat dalam pembelajaran, tetapi juga dapat menjadi sumber distraksi bagi siswa. Notifikasi media sosial, permainan, atau aplikasi hiburan dapat mengalihkan perhatian siswa saat proses belajar berlangsung. Oleh karena itu, guru perlu menetapkan aturan penggunaan gadget yang jelas serta mengarahkan pemanfaatannya untuk aktivitas belajar yang produktif agar teknologi menjadi pendukung, bukan penghambat pembelajaran.</p><h3 id="2-rentang-fokus-yang-lebih-pendek">2. Rentang Fokus yang Lebih Pendek</h3><p>Generasi Alfa terbiasa memperoleh informasi secara cepat melalui berbagai platform digital, sehingga mereka cenderung memiliki rentang perhatian yang lebih singkat dibandingkan generasi sebelumnya. Jika pembelajaran berlangsung monoton atau terlalu lama tanpa variasi, siswa dapat kehilangan minat dan fokus. Untuk mengatasinya, guru perlu menyajikan pembelajaran yang dinamis dengan mengombinasikan berbagai metode, media, dan aktivitas interaktif agar keterlibatan siswa tetap terjaga.</p><h3 id="3-perbedaan-kemampuan-digital-antarsiswa">3. Perbedaan Kemampuan Digital Antarsiswa</h3><p>Meskipun dikenal sebagai generasi yang akrab dengan teknologi, tidak semua siswa memiliki kemampuan digital yang sama. Perbedaan akses terhadap perangkat, internet, maupun pengalaman menggunakan teknologi dapat memengaruhi kesiapan mereka dalam mengikuti pembelajaran berbasis digital. Oleh karena itu, guru perlu memberikan pendampingan yang sesuai dengan kebutuhan siswa dan memastikan setiap peserta didik memiliki kesempatan yang sama untuk mengembangkan kompetensi digitalnya.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/8-tips-mudah-mengajarkan-siswa-literasi-digital/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">8 Tips Mudah Mengajarkan Siswa Literasi Digital</div><div class="kg-bookmark-description">Literasi Digital adalah kemampuan dalam memanfaatkan teknologi. Literasi digital ini sangat penting diajarkan kepada siswa di sekolah.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2021/03/photo-1544006659-f0b21884ce1d.jpeg" alt="7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital"></div></a></figure><h3 id="4-keterbatasan-fasilitas-sekolah">4. Keterbatasan Fasilitas Sekolah</h3><p>Tidak semua sekolah memiliki infrastruktur yang memadai untuk mendukung pembelajaran digital, seperti jaringan internet yang stabil, perangkat teknologi, atau ruang kelas yang dilengkapi fasilitas multimedia. Kondisi ini menjadi tantangan bagi guru dalam menerapkan pembelajaran berbasis teknologi secara optimal. Meskipun demikian, guru tetap dapat berinovasi dengan memanfaatkan sumber daya yang tersedia, memilih media pembelajaran yang sederhana, serta mengombinasikan metode digital dan pembelajaran konvensional sesuai kondisi sekolah.</p><h3 id="5-perlunya-peningkatan-kompetensi-digital-guru">5. Perlunya Peningkatan Kompetensi Digital Guru</h3><p>Perkembangan teknologi yang terus berlangsung menuntut guru untuk terus meningkatkan kompetensi digitalnya. Guru tidak hanya perlu mampu mengoperasikan berbagai aplikasi pembelajaran, tetapi juga memahami cara memilih media yang tepat, merancang pembelajaran interaktif, hingga memanfaatkan teknologi seperti kecerdasan buatan (AI) secara bijak. Dengan mengikuti pelatihan, webinar, atau kegiatan pengembangan profesional secara berkelanjutan, guru dapat meningkatkan kualitas pembelajaran sekaligus menjawab kebutuhan Generasi Alfa di era digital.</p><h3 id="kesimpulan">Kesimpulan:</h3><p>Mengajar Generasi Alfa di era digital membutuhkan strategi pembelajaran yang mampu mengakomodasi perbedaan kebutuhan, minat, dan karakteristik setiap siswa. Melalui penerapan strategi pembelajaran berdiferensiasi yang efektif, guru dapat menciptakan pengalaman belajar yang lebih bermakna, meningkatkan keterlibatan siswa, sekaligus membantu setiap peserta didik mencapai potensi terbaiknya. Agar penerapannya semakin optimal, guru juga perlu terus mengembangkan kompetensinya melalui pelatihan yang relevan.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260724-WA0015.jpg" class="kg-image" alt="7 Strategi Pembelajaran Berdiferensiasi Efektif bagi Generasi Alfa di Era Digital" loading="lazy" width="900" height="1600" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260724-WA0015.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260724-WA0015.jpg 900w" sizes="(min-width: 720px) 720px"><figcaption>pelatihan kejarcita</figcaption></figure><p>Kejarcita menghadirkan berbagai program pelatihan guru, seperti Pelatihan Pembelajaran Berdiferensiasi, Pelatihan Pembelajaran Mendalam<em> (Deep Learning),</em> Pelatihan Pemanfaatan AI dalam Pembelajaran, serta Pelatihan Penyusunan Perangkat Ajar yang dirancang untuk membantu guru menghadirkan pembelajaran yang inovatif, efektif, dan sesuai dengan kebutuhan peserta didik di era digital. Bersama kejarcita, guru dapat terus meningkatkan kualitas pembelajaran sekaligus mempersiapkan Generasi Alfa menghadapi tantangan masa depan. Hubungi admin kejarcita untuk mendapatkan informasi lebih lanjut mengenai program pelatihan yang sesuai dengan kebutuhan sekolah Anda.</p>]]></content:encoded></item><item><title><![CDATA[Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari]]></title><description><![CDATA[penerapan literasi dan numerasi di semua mata pelajaran membuat pembelajaran menjadi lebih kontekstual dan bermakna]]></description><link>https://blog.kejarcita.id/strategi-literasi-dan-numerasi-yang-mudah-dilakukan-guru-semua-mata-pelajaran-setiap-hari/</link><guid isPermaLink="false">6a6a8a6b66a1b904b0daadee</guid><category><![CDATA[teaching]]></category><dc:creator><![CDATA[Agnes Meilina]]></dc:creator><pubDate>Fri, 07 Aug 2026 07:23:00 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/pexels-pragyanbezbo-1822375.jpg" medium="image"/><content:encoded><![CDATA[<img src="https://blog.kejarcita.id/content/images/2026/08/pexels-pragyanbezbo-1822375.jpg" alt="Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari"><p>Literasi dan numerasi merupakan kompetensi dasar yang perlu dimiliki setiap siswa untuk mendukung keberhasilan belajar di abad ke-21. Namun, masih banyak guru yang beranggapan bahwa penguatan literasi hanya menjadi tanggung jawab guru Bahasa Indonesia, sedangkan numerasi hanya menjadi tugas guru Matematika. Padahal, kedua kompetensi tersebut dapat diintegrasikan ke dalam semua mata pelajaran melalui aktivitas sederhana, seperti membaca teks, menganalisis data, mengajukan pertanyaan, hingga mengaitkan materi dengan kehidupan sehari-hari tanpa harus menambah jam pembelajaran. </p><p>Dengan penerapan yang konsisten, guru dapat membantu membangun kemampuan berpikir kritis, memecahkan masalah, dan memahami informasi secara lebih baik. Lalu, strategi apa saja yang dapat dilakukan guru agar literasi dan numerasi menjadi bagian dari pembelajaran setiap hari?</p><h2 id="mengapa-literasi-dan-numerasi-perlu-diterapkan-di-semua-mata-pelajaran">Mengapa Literasi dan Numerasi Perlu Diterapkan di Semua Mata Pelajaran?</h2><p><a href="https://blog.kejarcita.id/apa-itu-literasi-numerasi-pengertian-manfaat-dan-contoh-soalnya/">Literasi dan numerasi</a> merupakan dua kompetensi dasar yang menjadi fondasi penting dalam proses pembelajaran. Literasi tidak hanya dimaknai sebagai kemampuan membaca dan menulis, tetapi juga kemampuan memahami, menganalisis, mengevaluasi, serta menggunakan informasi untuk mengambil keputusan. Sementara itu, numerasi adalah kemampuan menerapkan konsep matematika, menginterpretasikan data, dan menggunakan penalaran logis untuk menyelesaikan berbagai permasalahan dalam kehidupan sehari-hari. Kedua kompetensi ini saling melengkapi dan dibutuhkan siswa agar mampu menghadapi tantangan pembelajaran maupun kehidupan di era digital.</p><p>Oleh karena itu, penguatan literasi dan numerasi tidak seharusnya hanya menjadi tanggung jawab guru Bahasa Indonesia atau Matematika. Semua mata pelajaran memiliki peluang untuk mengembangkan kedua kompetensi tersebut melalui pendekatan yang sesuai dengan karakteristik materi. Misalnya, guru IPA dapat mengajak siswa membaca artikel ilmiah dan menganalisis hasil percobaan, guru IPS dapat meminta siswa menginterpretasikan data kependudukan atau grafik ekonomi, sedangkan guru Seni Budaya dapat mengajak siswa memahami makna sebuah karya sekaligus membandingkan data hasil survei atau apresiasi seni. Dengan cara tersebut, siswa terbiasa membaca informasi, berpikir kritis, dan menggunakan data dalam berbagai konteks pembelajaran.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/7-tips-mengajar-literasi-numerasi-matematika-agar-mudah-dipahami-siswa/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">7 Tips Mengajar Literasi Numerasi (Matematika) Agar Mudah Dipahami Siswa</div><div class="kg-bookmark-description">Literasi numerasi adalah keterampilan untuk mengaplikasikan pengetahuan dasar, prinsip dan juga proses matematika dalam konteks kehidupan sehari-hari.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2021/03/Tips-mengajar-literasi-numerasi.jpg" alt="Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari"></div></a></figure><p>Selain itu, penerapan literasi dan numerasi di semua mata pelajaran membuat pembelajaran menjadi lebih kontekstual dan bermakna. Siswa tidak hanya menghafal konsep, tetapi juga belajar menghubungkan materi dengan situasi nyata yang mereka temui dalam kehidupan sehari-hari. Ketika guru secara konsisten mengintegrasikan aktivitas membaca, berdiskusi, menganalisis data, dan memecahkan masalah ke dalam pembelajaran, siswa akan lebih aktif, mampu berpikir kritis, serta terbiasa mengambil keputusan berdasarkan informasi yang valid. Dengan demikian, penguatan literasi dan numerasi tidak hanya meningkatkan hasil belajar, tetapi juga membekali siswa dengan keterampilan esensial yang mereka perlukan untuk menghadapi tantangan di masa depan.</p><h2 id="strategi-literasi-dan-numerasi-yang-mudah-dilakukan-guru-setiap-hari">Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Setiap Hari</h2><h3 id="1-mulai-pembelajaran-dengan-bacaan-singkat">1. Mulai Pembelajaran dengan Bacaan Singkat</h3><p>Salah satu strategi paling sederhana untuk menumbuhkan budaya literasi adalah memulai pembelajaran dengan bacaan singkat selama 5&#x2013;10 menit. Guru dapat menggunakan berbagai sumber, seperti artikel pendek, berita terkini, cerita inspiratif, infografis, hasil penelitian sederhana, atau kutipan tokoh yang relevan dengan materi pelajaran. Misalnya, guru IPA dapat menyajikan artikel tentang perubahan iklim, guru IPS menggunakan berita ekonomi, sedangkan guru PJOK membagikan informasi mengenai pola hidup sehat. Dengan demikian, siswa tidak hanya memperoleh pengetahuan baru, tetapi juga terbiasa membaca berbagai jenis teks.</p><p>Setelah membaca, ajak siswa menemukan ide pokok, informasi penting, kosakata baru, atau pesan yang ingin disampaikan penulis. Guru juga dapat memberikan beberapa pertanyaan sederhana, seperti &quot;Apa informasi yang paling menarik?&quot;, &quot;Apa fakta yang kamu temukan?&quot;, atau &quot;Bagaimana hubungan bacaan ini dengan materi hari ini?&quot;. Kegiatan ini melatih kemampuan memahami bacaan, menganalisis informasi, serta menghubungkan pengetahuan baru dengan pengalaman belajar sebelumnya. Jika dilakukan secara rutin, kebiasaan membaca akan berkembang menjadi budaya belajar yang positif di kelas.</p><h3 id="2-biasakan-siswa-mengajukan-pertanyaan">2. Biasakan Siswa Mengajukan Pertanyaan</h3><p>Literasi tidak hanya berkaitan dengan kemampuan membaca, tetapi juga kemampuan berpikir kritis terhadap informasi yang diterima. Oleh karena itu, guru perlu membiasakan siswa untuk mengajukan pertanyaan setelah membaca materi, mengamati gambar, atau menyimak penjelasan. Pertanyaan yang muncul menunjukkan bahwa siswa aktif memproses informasi, bukan sekadar menerima materi secara pasif.</p><p>Guru dapat memberikan waktu beberapa menit agar setiap siswa menuliskan satu atau dua pertanyaan mengenai materi yang belum dipahami atau hal yang membuat mereka penasaran. Pertanyaan tersebut kemudian dapat didiskusikan bersama dalam kelompok kecil maupun secara klasikal. Kegiatan ini tidak hanya meningkatkan pemahaman konsep, tetapi juga melatih rasa ingin tahu, kemampuan berkomunikasi, serta keterampilan berpikir tingkat tinggi (<em>Higher Order Thinking Skills</em>/HOTS). Semakin sering siswa terbiasa bertanya, semakin berkembang pula kemampuan mereka dalam menganalisis, mengevaluasi, dan memecahkan masalah.</p><h3 id="3-gunakan-data-atau-grafik-dalam-pembelajaran">3. Gunakan Data atau Grafik dalam Pembelajaran</h3><p>Penguatan numerasi dapat dilakukan tanpa harus memberikan soal hitungan yang rumit. Salah satu caranya adalah membiasakan siswa membaca dan menginterpretasikan data dalam bentuk tabel, grafik, diagram, atau infografis. Strategi ini dapat diterapkan pada semua mata pelajaran. Misalnya, guru IPS menggunakan grafik pertumbuhan penduduk, guru IPA menampilkan data hasil pengamatan suhu, guru Bahasa Indonesia menganalisis infografis, atau guru Seni Budaya membandingkan hasil survei mengenai minat siswa terhadap berbagai jenis seni.</p><p>Selanjutnya, ajak siswa mengamati data tersebut dengan memberikan pertanyaan yang mendorong analisis, seperti &quot;Apa informasi yang paling menonjol?&quot;, &quot;Mengapa terjadi peningkatan atau penurunan?&quot;, atau &quot;Kesimpulan apa yang dapat diambil dari grafik ini?&quot;. Aktivitas ini membantu siswa memahami bahwa angka tidak hanya digunakan untuk berhitung, tetapi juga untuk mengambil keputusan, menganalisis kondisi, dan menyelesaikan permasalahan. Dengan latihan yang konsisten, kemampuan numerasi siswa akan berkembang secara alami dan lebih mudah diterapkan dalam kehidupan sehari-hari.</p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/684249971_1574853944641913_6031134367288047878_n--1-.jpg" class="kg-image" alt="Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari" loading="lazy" width="1128" height="2048" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/684249971_1574853944641913_6031134367288047878_n--1-.jpg 600w, https://blog.kejarcita.id/content/images/size/w1000/2026/08/684249971_1574853944641913_6031134367288047878_n--1-.jpg 1000w, https://blog.kejarcita.id/content/images/2026/08/684249971_1574853944641913_6031134367288047878_n--1-.jpg 1128w" sizes="(min-width: 720px) 720px"><figcaption>sumber: kejarcita.id</figcaption></figure><h3 id="4-hubungkan-materi-dengan-situasi-nyata">4. Hubungkan Materi dengan Situasi Nyata</h3><p>Pembelajaran akan menjadi lebih bermakna apabila siswa dapat melihat hubungan antara materi pelajaran dan kehidupan sehari-hari. Oleh karena itu, guru sebaiknya memberikan contoh yang kontekstual sehingga siswa memahami manfaat dari apa yang mereka pelajari. Strategi ini sekaligus mengembangkan kemampuan literasi dan numerasi karena siswa belajar menganalisis informasi dan menggunakan data dalam situasi nyata.</p><p>Sebagai contoh, guru dapat mengajak siswa menghitung penggunaan air di rumah, membuat anggaran sederhana untuk kegiatan kelas, membaca data curah hujan, membandingkan harga kebutuhan pokok, atau menganalisis hasil survei sederhana di lingkungan sekolah. Pada mata pelajaran lain, guru juga dapat mengaitkan materi dengan fenomena sosial, kesehatan, lingkungan, maupun perkembangan teknologi. Ketika siswa menyadari bahwa pengetahuan yang dipelajari memiliki manfaat langsung dalam kehidupan, mereka akan lebih termotivasi untuk belajar sekaligus lebih mudah memahami konsep yang diajarkan.</p><h3 id="5-akhiri-pembelajaran-dengan-refleksi-singkat">5. Akhiri Pembelajaran dengan Refleksi Singkat</h3><p>Menutup pembelajaran dengan refleksi merupakan langkah sederhana yang sering kali memberikan dampak besar terhadap pemahaman siswa. Refleksi membantu siswa mengingat kembali materi yang telah dipelajari, mengevaluasi proses belajarnya, sekaligus menyadari bagian yang masih perlu dipelajari lebih lanjut. Kegiatan ini tidak membutuhkan waktu lama, cukup sekitar 5 menit di akhir pembelajaran.</p><p>Guru dapat meminta siswa menuliskan satu hal baru yang dipelajari hari itu, satu informasi yang paling penting, satu data atau angka yang mereka anggap menarik, atau satu pertanyaan yang masih ingin mereka ketahui jawabannya. Refleksi juga dapat dilakukan secara lisan melalui diskusi singkat sebelum pelajaran berakhir. Dari hasil refleksi tersebut, guru dapat mengetahui tingkat pemahaman siswa dan menentukan tindak lanjut pembelajaran pada pertemuan berikutnya. Jika dilakukan secara konsisten, kegiatan refleksi tidak hanya memperkuat kemampuan literasi dan numerasi, tetapi juga membentuk kebiasaan belajar yang aktif, kritis, dan reflektif.</p><figure class="kg-card kg-embed-card"><iframe width="200" height="113" src="https://www.youtube.com/embed/w7LJ4oTPJl0?feature=oembed" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen title="8 Strategi Refleksi Siswa yang Menarik dan Mudah untuk Diterapkan di Kelas"></iframe></figure><h2 id="tips-agar-strategi-literasi-dan-numerasi-berjalan-konsisten">Tips Agar Strategi Literasi dan Numerasi Berjalan Konsisten</h2><h3 id="1-mulailah-dari-aktivitas-sederhana">1. Mulailah dari aktivitas sederhana</h3><p>Guru tidak perlu langsung mengubah seluruh metode mengajar untuk menerapkan literasi dan numerasi. Cukup mulai dengan kebiasaan kecil, seperti memberikan bacaan singkat di awal pembelajaran, mengajak siswa menganalisis gambar atau grafik, maupun mengajukan pertanyaan yang mendorong mereka berpikir kritis. Jika dilakukan secara bertahap, kegiatan ini akan lebih mudah diterapkan dan tidak membebani guru maupun siswa.</p><h3 id="2-manfaatkan-sumber-belajar-yang-sudah-tersedia">2. Manfaatkan sumber belajar yang sudah tersedia</h3><p>Guru dapat menggunakan buku pelajaran, artikel, berita, infografis, video edukasi, maupun data sederhana yang relevan dengan materi. Pemanfaatan sumber belajar yang beragam tidak hanya membuat pembelajaran lebih menarik, tetapi juga membantu siswa mengembangkan kemampuan memahami informasi serta mengolah data dalam berbagai bentuk.</p><h3 id="3-libatkan-seluruh-guru-di-sekolah">3. Libatkan seluruh guru di sekolah</h3><p>Penguatan literasi dan numerasi akan lebih efektif jika diterapkan secara kolaboratif oleh semua guru, bukan hanya guru Bahasa Indonesia atau Matematika. Setiap mata pelajaran dapat memberikan pengalaman belajar yang melatih kemampuan membaca, berpikir logis, menganalisis informasi, dan memecahkan masalah sesuai dengan karakteristik materi yang diajarkan.</p><h3 id="4-lakukan-secara-rutin-dan-konsisten">4. Lakukan secara rutin dan konsisten</h3><p>Kunci keberhasilan penguatan literasi dan numerasi adalah konsistensi. Aktivitas sederhana yang dilakukan setiap hari akan lebih berdampak dibandingkan kegiatan besar yang hanya dilaksanakan sesekali. Dengan pembiasaan yang berkelanjutan, siswa akan terbiasa membaca, memahami informasi, menganalisis data, serta menerapkan keterampilan tersebut dalam berbagai situasi pembelajaran maupun kehidupan sehari-hari.</p><h2 id="kesalahan-yang-sebaiknya-dihindari-guru">Kesalahan yang Sebaiknya Dihindari Guru</h2><h3 id="1-menganggap-literasi-dan-numerasi-hanya-tanggung-jawab-mata-pelajaran-tertentu">1. Menganggap literasi dan numerasi hanya tanggung jawab mata pelajaran tertentu</h3><p>Masih banyak guru yang beranggapan bahwa literasi hanya menjadi tanggung jawab guru Bahasa Indonesia dan numerasi hanya diajarkan oleh guru Matematika. Padahal, setiap mata pelajaran memiliki kesempatan untuk mengembangkan kedua kompetensi tersebut melalui kegiatan membaca, menganalisis informasi, menginterpretasikan data, atau menyelesaikan masalah yang sesuai dengan materi pembelajaran.</p><h3 id="2-memberikan-aktivitas-yang-terlalu-sulit">2. Memberikan aktivitas yang terlalu sulit</h3><p>Aktivitas literasi dan numerasi sebaiknya disesuaikan dengan tingkat kemampuan siswa agar mereka dapat mengikuti pembelajaran dengan percaya diri. Jika tugas yang diberikan terlalu rumit, siswa cenderung merasa kesulitan, kehilangan motivasi, dan kurang aktif berpartisipasi dalam proses belajar.</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://blog.kejarcita.id/pelatihan-akm-di-sumba-barat-daya/"><div class="kg-bookmark-content"><div class="kg-bookmark-title">7 Alasan Penguatan Literasi dan Numerasi Penting bagi Siswa</div><div class="kg-bookmark-description">penguatan literasi dan numerasi memastikan setiap siswa memiliki kemampuan yang cukup dalam membaca, menulis, dan berpikir secara kuantitatif</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://blog.kejarcita.id/favicon.png" alt="Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari"><span class="kg-bookmark-author">Kejarpena</span><span class="kg-bookmark-publisher">Agnes Meilina</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://blog.kejarcita.id/content/images/2025/02/WhatsApp-Image-2025-02-15-at-14.35.18.jpeg" alt="Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari"></div></a></figure><h3 id="3-tidak-mengaitkan-materi-dengan-kehidupan-sehari-hari">3. Tidak mengaitkan materi dengan kehidupan sehari-hari</h3><p>Pembelajaran akan lebih bermakna ketika guru menghubungkan materi dengan situasi yang dekat dengan kehidupan siswa. Misalnya, menggunakan data cuaca, pengeluaran sehari-hari, atau fenomena di lingkungan sekitar sebagai bahan diskusi sehingga siswa lebih mudah memahami manfaat literasi dan numerasi dalam kehidupan nyata.</p><h3 id="4-terlalu-fokus-pada-hasil-akhir">4. Terlalu fokus pada hasil akhir</h3><p>Guru sebaiknya tidak hanya menilai jawaban benar atau salah, tetapi juga memperhatikan proses berpikir siswa dalam memahami bacaan, menganalisis informasi, dan menyelesaikan suatu permasalahan. Dengan begitu, guru dapat mengetahui bagian mana yang perlu diperkuat dan memberikan bimbingan yang lebih tepat.</p><h3 id="5-jarang-memberikan-kesempatan-berdiskusi-dan-refleksi">5. Jarang memberikan kesempatan berdiskusi dan refleksi</h3><p>Diskusi dan refleksi merupakan bagian penting dalam pembelajaran berbasis literasi dan numerasi. Melalui kegiatan ini, siswa dapat menyampaikan pendapat, bertukar ide, serta mengevaluasi pemahamannya terhadap materi. Kebiasaan tersebut juga membantu meningkatkan kemampuan berpikir kritis, komunikasi, dan pemecahan masalah secara bertahap.</p><h3 id="kesimpulan">Kesimpulan:</h3><p>Literasi dan numerasi bukanlah tanggung jawab guru mata pelajaran tertentu, melainkan kompetensi dasar yang perlu dikembangkan secara kolaboratif oleh seluruh pendidik melalui pembelajaran sehari-hari. Dengan menerapkan berbagai strategi sederhana secara konsisten, seperti membiasakan siswa membaca, berdiskusi, menganalisis data, dan melakukan refleksi, guru dapat menciptakan pembelajaran yang lebih bermakna sekaligus meningkatkan kemampuan berpikir kritis dan pemecahan masalah siswa. </p><figure class="kg-card kg-image-card kg-card-hascaption"><img src="https://blog.kejarcita.id/content/images/2026/08/IMG-20260727-WA0002.jpg" class="kg-image" alt="Strategi Literasi dan Numerasi yang Mudah Dilakukan Guru Semua Mata Pelajaran Setiap Hari" loading="lazy" width="899" height="1599" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/IMG-20260727-WA0002.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/IMG-20260727-WA0002.jpg 899w" sizes="(min-width: 720px) 720px"><figcaption>pelatihan kejarcita</figcaption></figure><p>Untuk mendukung implementasi pembelajaran yang lebih efektif, kejarcita hadir dengan berbagai program pelatihan bagi guru yang membahas strategi pembelajaran, asesmen, literasi, numerasi, hingga pemanfaatan teknologi dalam pendidikan. Yuk, tingkatkan kompetensi guru dan wujudkan pembelajaran yang lebih berkualitas bersama kejarcita!</p>]]></content:encoded></item><item><title><![CDATA[6 Aktivitas Seru Coding Unplugged untuk Mengajar Logika Pemrograman di Kelas]]></title><description><![CDATA[Butuh ide belajar kreatif? Coba 6 aktivitas fisik ini untuk mengajarkan konsep algoritma, kode biner, dan runtutan logis kepada siswa tanpa perlu menyentuh gawai]]></description><link>https://blog.kejarcita.id/6-aktivitas-seru-coding-unplugged-untuk-mengajar-logika-pemrograman-di-kelas/</link><guid isPermaLink="false">6a6293c666a1b904b0daacac</guid><category><![CDATA[teknologi]]></category><dc:creator><![CDATA[Kejarcita]]></dc:creator><pubDate>Fri, 07 Aug 2026 01:17:40 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/6-Aktivitas-Seru-Coding-Unplugged-untuk-Mengajar-Logika-Pemrograman-di-Kelas--4-.jpg" medium="image"/><content:encoded><![CDATA[<blockquote>Bayangkan kata &quot;koding&quot;. Apa yang pertama kali terlintas di benak Bapak dan Ibu Guru? Ruang laboratorium yang dingin, deretan komputer canggih, atau anak-anak yang menatap layar gawai dengan kening berkerut?</blockquote><img src="https://blog.kejarcita.id/content/images/2026/08/6-Aktivitas-Seru-Coding-Unplugged-untuk-Mengajar-Logika-Pemrograman-di-Kelas--4-.jpg" alt="6 Aktivitas Seru Coding Unplugged untuk Mengajar Logika Pemrograman di Kelas"><p>Anggapan ini sering kali membuat kita berkecil hati, terutama jika sekolah tempat kita mengabdi memiliki keterbatasan fasilitas. Namun, tahukah Bapak dan Ibu Guru? Logika dasar pemrograman sebenarnya bisa diajarkan melalui aktivitas fisik yang seru dan menyenangkan, tanpa layar sama sekali.</p><p>Inilah yang disebut dengan <em>Coding Unplugged</em>. Melalui artikel ini, kita akan bersama-sama mengulas bagaimana strategi koding tanpa komputer ini dapat menjadi kunci untuk mengasah kemampuan berpikir komputasional (<em>computational thinking</em>) siswa sejak tingkat dasar.</p><h2 id="menyelami-lebih-dalam-apa-itu-coding-unplugged">Menyelami Lebih Dalam: Apa Itu Coding Unplugged?</h2><p>Sederhananya, <em>Coding Unplugged</em> adalah metode pengajaran konsep ilmu komputer dan pemrograman melalui aktivitas fisik, permainan kelompok, dan simulasi langsung di dunia nyata, tanpa menyentuh perangkat elektronik seperti laptop atau tablet.</p><p>Misi utamanya sangat berpihak pada kita di lapangan: menurunkan hambatan akses. Kita ingin koding tidak lagi menjadi materi &quot;mewah&quot;, melainkan sebuah keterampilan yang bisa diajarkan di sekolah mana saja, tanpa perlu bergantung pada anggaran besar atau kelengkapan infrastruktur digital.</p><p>Jika kita bedah kembali, koding pada hakikatnya adalah tindakan menerjemahkan keinginan atau ide manusia ke dalam format langkah demi langkah yang dimengerti oleh komputer. Melalui pendekatan <em>unplugged</em>, kita mengajak siswa untuk melihat aspek komputasi dari dunia fisik di sekitar mereka.</p><h3 id="bagi-anak-tk-dan-sd">Bagi anak TK dan SD</h3><p>Koding bisa berwujud permainan &quot;Robot Manusia&quot;, di mana satu anak menjadi robot dan anak lainnya memberikan instruksi langkah kaki (maju dua langkah, belok kanan) untuk mencapai kotak harta karun.</p><h3 id="bagi-siswa-smp-dan-sma">Bagi siswa SMP dan SMA</h3><p>Logika ini bisa dikembangkan menjadi teka-teki algoritma yang lebih kompleks dengan kartu atau permainan papan buatan sendiri.</p><p>Dengan membawa konsep abstrak ke dalam gerakan fisik yang nyata,<a href="https://codero.id/id/blog/5-alasan-pengetahuan-coding-harus-dikenalkan-sejak-usia-dini"> koding tidak lagi terasa asing</a> atau menakutkan bagi anak-anak. Sebaliknya, proses belajar justru menjadi sebuah petualangan yang seru, inklusif, dan mudah diakses oleh siapa saja.</p><h2 id="merakit-logika-di-lantai-kelas-tiga-langkah-seru-mengajar-coding-unplugged">Merakit Logika di Lantai Kelas: Tiga Langkah Seru Mengajar Coding Unplugged</h2><p>Mungkin sebagian dari kita bertanya-tanya, <em>&#x201C;Bagaimana caranya mengajarkan istilah-istilah komputer yang rumit tanpa ada komputer di depan mata?&#x201D;</em></p><p>Jawabannya: kita bawa konsep tersebut ke dunia nyata! Tanpa gawai sekalipun, Bapak dan Ibu Guru tetap bisa menanamkan fondasi utama pemrograman seperti algoritma, urutan (<em>sequencing</em>), pengulangan (<em>looping</em>), hingga seni memecahkan masalah (<em>debugging</em>).</p><p>Mari kita bedah cara seru untuk menghidupkan tiga konsep inti ini di ruang kelas kita:</p><h3 id="1-algoritma-urutan-sequencing">1. Algoritma &amp; Urutan<em> (Sequencing)</em></h3><p>Secara bahasa, algoritma adalah kumpulan langkah logis untuk menyelesaikan masalah. Namun, di hadapan siswa, terutama jenjang TK dan SD, kita bisa menyederhanakannya menjadi &#x201C;instruksi rahasia&#x201D; atau &#x201C;resep kue&#x201D;.</p><p>Salah satu aktivitas populer yang bisa dicoba adalah <em>Cup Stacking Code</em> (Kode Menara Gelas).</p><p>Caranya: Berikan siswa beberapa kartu bergambar simbol komando sederhana, seperti &quot;pindah ke kiri&quot;, &quot;tumpuk atas&quot;, atau &quot;bongkar&quot;. Mintalah mereka menyusun kartu-kartu tersebut agar teman kelompoknya bisa membangun menara gelas dengan bentuk tertentu.</p><p>Melalui permainan ini, siswa belajar bahwa urutan instruksi adalah segalanya. Jika ada satu saja kartu yang tertukar posisinya, menara gelas yang terbangun akan meleset dari target.</p><p>Untuk siswa SMP dan SMA, tantangan ini bisa ditingkatkan dengan instruksi yang lebih kompleks atau menggunakan labirin gambar.</p><h3 id="2-pola-yang-berulang-dengan-looping">2. Pola yang Berulang dengan <em>Looping</em></h3><p>Dalam dunia <em>coding</em>, efisiensi adalah kunci. Konsep <em>looping</em> melatih siswa untuk mengenali perintah yang dilakukan secara berulang-ulang, tanpa harus menuliskan atau mengulang instruksi yang sama berkali-kali.</p><p>Bapak dan Ibu Guru bisa menyimulasikan hal ini melalui <em>Coding Obstacle Course</em> (Lintasan Rintangan) di lantai kelas atau halaman sekolah.</p><ul><li>Alih-alih menyuruh siswa melangkah dengan instruksi: <em>&quot;Maju, maju, maju, maju,&quot;</em></li><li>Kita bisa mengenalkan satu kartu sakti bernama kartu &quot;Loop&quot; yang bertuliskan: <em>&quot;Maju (Ulangi 4x)&quot;</em>.</li></ul><p>Permainan fisik ini tidak hanya membuat anak-anak bergerak aktif, tetapi juga membuka mata mereka, mulai dari usia dini hingga remaja, bahwa matematika dan logika bisa diringkas dengan cara yang sangat cerdas dan praktis.</p><h3 id="3-seni-menemukan-masalah-debugging">3. Seni Menemukan Masalah <em>(Debugging)</em></h3><p>Di dalam dunia nyata, salah langkah adalah hal yang lumrah. Di dalam dunia <em>coding</em>, momen mencari kesalahan ini disebut dengan <em>debugging</em>.</p><p>Proses ini terasa sangat menyenangkan ketika siswa bermain peran sebagai &quot;Robot&quot; dan &quot;Programmer&quot;. Ketika instruksi yang diberikan sang programmer ternyata membuat temannya yang menjadi robot salah berbelok atau menabrak meja, di situlah keseruannya dimulai.</p><p>Siswa tidak diajak untuk meratapi kegagalan, melainkan diajak untuk tertawa bersama, meninjau kembali &quot;baris kode&quot; (kartu instruksi) yang mereka susun, lalu memperbaikinya bersama-sama. Proses mental ini melatih kebesaran hati dan daya analisis yang luar biasa tangguh pada diri anak-anak.</p><figure class="kg-card kg-image-card"><img 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" class="kg-image" alt="6 Aktivitas Seru Coding Unplugged untuk Mengajar Logika Pemrograman di Kelas" loading="lazy"></figure><h2 id="6-aktivitas-unplugged-coding-untuk-mengasah-computational-thinking">6 Aktivitas <em>Unplugged Coding</em> untuk Mengasah <em>Computational Thinking</em></h2><p>Bapak dan Ibu Guru, istilah<a href="https://codero.id/id/blog/4-cara-sederhana-melatih-computational-thinking-sejak-dini"> <em>computational thinking</em> (berpikir komputasional)</a> mungkin terdengar sangat akademis dan rumit. Namun, esensinya sebenarnya sangat dekat dengan keseharian kita.</p><p>Kabar baiknya, kita tidak butuh komputer mahal untuk menyalakan kemampuan ini. Cukup manfaatkan ruang kelas, kertas, dan kreativitas Bapak dan Ibu Guru.</p><p>Berikut adalah 6 aktivitas praktis nan seru yang bisa langsung dicoba di kelas esok hari:</p><h3 id="1-algorithm-dance-party-pesta-dansa-algoritma">1. <em>Algorithm Dance Party</em> (Pesta Dansa Algoritma)</h3><p>Siapa bilang belajar koding harus duduk diam? Mari ajak siswa bergerak!</p><p>Caranya, tuliskan gerakan tari sederhana pada beberapa kartu indeks, seperti &quot;lompat dua kali&quot;, &quot;putar ke kanan&quot;, atau &quot;tepuk tangan.&#x201D; Susun kartu-kartu ini di papan tulis dalam urutan tertentu.</p><p>Tugas siswa adalah menari mengikuti urutan kartu tersebut persis seperti &quot;robot manusia&quot;.</p><p>Aktivitas ini sangat disukai anak TK dan SD untuk melatih motorik. Untuk siswa SMP atau SMA, tantang mereka membuat koreografi yang lebih kompleks dengan transisi yang cepat.</p><h3 id="2-metode-codyroby">2. Metode <em>CodyRoby</em></h3><p>Aktivitas permainan peran ini sangat efektif untuk melatih pemisahan peran antara si pembuat perintah dan si pelaksana.</p><p>Untuk melakukan metode ini, gambar papan catur raksasa di lantai kelas menggunakan lakban.</p><p>Satu siswa berperan sebagai Cody (penyusun kode/programmer) dan siswa lainnya menjadi Roby (si robot).</p><p>Cody harus mengeluarkan kartu bergambar panah (maju, belok kanan, belok kiri) untuk menuntun Roby melewati rintangan menuju kotak target.</p><p>Roby hanya boleh bergerak jika ada kartu instruksi.</p><h3 id="3-story-sequencing-cards-teka-teki-alur-cerita">3.<em> Story Sequencing Cards </em>(Teka-Teki Alur Cerita)</h3><p>Koding adalah tentang urutan yang logis, dan kita bisa melatihnya lewat sebuah cerita.</p><ul><li><strong>Cara bermain:</strong> Berikan kepada siswa satu set kartu berisi potongan aktivitas yang acak (misal: &quot;bangun tidur&quot;, &quot;memakai seragam&quot;, &quot;sarapan&quot;). Tantang mereka untuk menyusunnya menjadi urutan yang masuk akal.</li><li><strong>Gunakan logika &quot;Jika-Maka&quot; (</strong><em><strong>If-Then</strong></em><strong>)</strong>: Untuk mengenalkan logika kondisional pemrograman, sisipkan kartu kondisi. Contoh: <em>&quot;Jika hujan, maka memakai jas hujan&quot;</em> atau <em>&quot;Jika cerah, maka memakai topi.&quot;</em> Ini melatih siswa dari jenjang TK hingga SMA untuk memahami konsep sebab-akibat dalam mengambil keputusan.</li></ul><h3 id="4-binary-bracelets-gelang-kode-biner">4. <em>Binary Bracelets</em> (Gelang Kode Biner)</h3><p>Bagaimana cara menjelaskan bahwa komputer membaca dunia ini hanya lewat angka 0 dan 1? Mari kita buat konsep abstrak ini menjadi hiasan tangan yang indah.</p><p>Pertama-tama, sediakan manik-manik dengan dua warna berbeda, misalnya merah (mewakili angka 0) dan biru (mewakili angka 1).</p><p>Selanjutnya, berikan tabel kode biner sederhana alfabet kepada siswa. Mintalah siswa SD tingkat atas hingga SMA untuk menerjemahkan inisial nama mereka ke dalam kode biner, lalu merangkainya menjadi gelang.</p><p>Selain belajar konsep data, mereka juga pulang membawa aksesori buatan sendiri!</p><h3 id="5-code-a-friend-bimbing-temanmu">5. <em>Code a Friend</em> (Bimbing Temanmu)</h3><p>Hampir mirip dengan CodyRoby, namun aktivitas ini memanfaatkan seluruh ruang kelas kosong sebagai jalurnya.</p><p>Untuk memainkan permainan ini, buatlah kartu arah yang presisi. Satu siswa yang berperan sebagai robot harus menutup mata (atau memakai kacamata penutup), sementara temannya bertindak sebagai pemrogram yang mengarahkan dengan instruksi verbal yang sangat detail, seperti <em>&quot;Maju 3 langkah kaki bebek&quot;</em> atau <em>&quot;Belok kiri 90 derajat.&quot;</em></p><p>Aktivitas ini mengajarkan pentingnya memberikan instruksi yang jelas dan presisi agar tidak terjadi <em>error</em>.</p><h3 id="6-coding-scavenger-hunt-berburu-harta-karun-berkode">6. <em>Coding Scavenger Hunt</em> (Berburu Harta Karun Berkode)</h3><p>Permainan ini akan mengubah kelas atau halaman sekolah menjadi peta permainan yang menegangkan.</p><ul><li><strong>Cara bermain:</strong> Sembunyikan sebuah benda. Alih-alih memberikan peta konvensional, berikan kepada siswa selembar kertas berisi &quot;baris kode&quot; simbolis yang harus mereka pecahkan untuk menemukan benda tersebut.</li><li><strong>Tantangan berikutnya:</strong> Minta kelompok siswa SMP atau SMA untuk membuat jalur kode mereka sendiri, lalu tukarkan dengan kelompok lain untuk diuji coba.</li></ul><p>Mengintegrasikan koding di kelas melalui strategi <em>unplugged</em> bukan sekadar tentang mengajarkan keterampilan teknis, melainkan tentang membangun karakter. Kita sedang melatih mentalitas yang kritis, kreatif, dan kolaboratif.</p><p>Dengan media sederhana seperti kartu dan papan buatan sendiri, Bapak dan Ibu Guru sebenarnya sedang membekali siswa dengan kemampuan berpikir sistematis.</p><p>Fondasi inilah yang akan menjadi modal berharga saat mereka mulai beralih ke pemrograman berbasis gawai di jenjang yang lebih tinggi nanti.</p><p>Mari mulai dari langkah kecil di kelas kita, dan jadikan logika pemrograman sebagai petualangan bermain yang bermakna! Selamat berkreasi di kelas, Bapak dan Ibu Guru luar biasa!</p><p></p><p><em>Created by,</em></p><p>Codero</p>]]></content:encoded></item><item><title><![CDATA[PARADE EVENT KEJARCITA AGUSTUS 2026]]></title><description><![CDATA[<blockquote>Selamat siang Bapak Ibu Gurucita dan teman kece! &#x1F60A;<br>Yuk ikuti parade event July 2026 dari kejarcita dan catat tanggalnya yaa!</blockquote><h2 id="parade-event-agustus-2026">PARADE EVENT AGUSTUS 2026</h2><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/POP-UP-PARADE-EVENT-AGUSTUS-2026-1.jpg" class="kg-image" alt loading="lazy" width="900" height="900" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/POP-UP-PARADE-EVENT-AGUSTUS-2026-1.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/POP-UP-PARADE-EVENT-AGUSTUS-2026-1.jpg 900w" sizes="(min-width: 720px) 720px"></figure><h3 id="1-webinar-kejarcita-x-kemendikdasmen-khusus-guru-smak-sederajat">1. Webinar Kejarcita x Kemendikdasmen (Khusus guru SMA/K sederajat)</h3><ul><li>Tema: Bukan Sekadar Menonton: Strategi Memanfaatkan Video Ruang Murid untuk Pembelajaran Aktif pada Jenjang SMA</li></ul>]]></description><link>https://blog.kejarcita.id/parade-event-kejarcita-agustus-2026/</link><guid isPermaLink="false">6a752f28d70df340d1086aa7</guid><category><![CDATA[event]]></category><dc:creator><![CDATA[Kejarcita]]></dc:creator><pubDate>Fri, 07 Aug 2026 01:06:33 GMT</pubDate><media:content url="https://blog.kejarcita.id/content/images/2026/08/POP-UP-PARADE-EVENT-AGUSTUS-2026.jpg" medium="image"/><content:encoded><![CDATA[<blockquote>Selamat siang Bapak Ibu Gurucita dan teman kece! &#x1F60A;<br>Yuk ikuti parade event July 2026 dari kejarcita dan catat tanggalnya yaa!</blockquote><h2 id="parade-event-agustus-2026">PARADE EVENT AGUSTUS 2026</h2><figure class="kg-card kg-image-card"><img src="https://blog.kejarcita.id/content/images/2026/08/POP-UP-PARADE-EVENT-AGUSTUS-2026-1.jpg" class="kg-image" alt="PARADE EVENT KEJARCITA AGUSTUS 2026" loading="lazy" width="900" height="900" srcset="https://blog.kejarcita.id/content/images/size/w600/2026/08/POP-UP-PARADE-EVENT-AGUSTUS-2026-1.jpg 600w, https://blog.kejarcita.id/content/images/2026/08/POP-UP-PARADE-EVENT-AGUSTUS-2026-1.jpg 900w" sizes="(min-width: 720px) 720px"></figure><h3 id="1-webinar-kejarcita-x-kemendikdasmen-khusus-guru-smak-sederajat">1. Webinar Kejarcita x Kemendikdasmen (Khusus guru SMA/K sederajat)</h3><ul><li>Tema: Bukan Sekadar Menonton: Strategi Memanfaatkan Video Ruang Murid untuk Pembelajaran Aktif pada Jenjang SMA</li><li>Hari, Tanggal: Jumat, 14 Agustus 2026 pukul 14.00 WIB</li></ul><h3 id="2-youtube-live">2. YouTube Live</h3><ul><li>Tema: &quot;Cita Literasi: Dari Ide Menjadi Buku!&quot;</li><li>Hari, Tanggal: Rabu, 19 Agustus 2026 pukul 14.00 WIB</li></ul><h3 id="3-ig-live">3. IG Live</h3><ul><li>Tema: Ngobrol Santai Seputar TKA: Tips, Strategi, dan Tanya Jawab</li><li>Hari, Tanggal: Sabtu, 22 Agustus 2026 pukul 14.00 WIB</li></ul>]]></content:encoded></item></channel></rss>