Analisis Kebutuhan Pengembangan Bio-LAD AI dalam Monitoring E-Modul Aplikatif-Integratif Materi Virus
DOI:
https://doi.org/10.53696/venn.v5i1.361Keywords:
Bio-LAD AI, materi Virus, analisis kebutuhan, dashboard cerdas, pembelajaran berdiferensiasiAbstract
Penelitian ini bertujuan untuk menganalisis kebutuhan guru terhadap fitur-fitur yang diinginkan dalam pengembangan Bio-LAD AI, sebuah dashboard cerdas untuk memantau e-modul aplikatif-integratif materi Virus di SMA. Data dikumpulkan melalui angket yang disebarkan kepada 10 guru biologi dari SMA Negeri 17 Makassar dan SMA Negeri 1 Gowa, serta wawancara dengan satu guru perwakilan dari masing-masing sekolah. Hasil penelitian menunjukkan bahwa guru membutuhkan fitur seperti pemantauan progres siswa, feedback otomatis, notifikasi untuk intervensi, visualisasi progres, dan itur ekspor data untuk pelaporan dan analisis lebih lanjut. Fitur-fitur ini akan memungkinkan guru untuk memantau pembelajaran secara real-time, memberikan dukungan yang lebih personal, serta mempermudah pengelolaan data dan pelaporan. Temuan ini diharapkan dapat menjadi dasar bagi pengembangan Bio-LAD AI untuk meningkatkan kualitas pembelajaran dan mendukung pembelajaran berdiferensiasi sesuai dengan Kurikulum Merdeka.
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References
Arnold, K. E., & Pistilli, M. D. (2012). Course signals at Purdue: Using learning analytics to increase student success. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, 267–270. https://doi.org/10.1145/2330601.2330666
Asmayani, A., Seprida, R., & Rosmiati, E. (2024). Analisis kebutuhan pengembangan e-modul aplikatif-integratif berbasis pembelajaran berdiferensiasi pada materi virus di sekolah menengah atas. JagoMIPA: Jurnal Pendidikan Matematika dan IPA, 4(4), 743–751. https://doi.org/10.53299/jagomipa.v4i4.746
Asmayani, A., Seprida, R., & Rosmiati, E. (2025). Pengembangan e-modul biologi aplikatif-integratif berbasis pembelajaran berdiferensiasi untuk materi virus di SMA. Jurnal Biogenerasi, 10(2), 1227–1237. https://doi.org/10.30605/biogenerasi.v10i2.5733
Carless, D., & Boud, D. (2018). The development of student feedback literacy: Enabling uptake of feedback. Assessment & Evaluation in Higher Education, 43(8), 1315–1325. https://doi.org/10.1080/02602938.2018.1463354
Corrin, L., & De Barba, P. (2014). Exploring students’ interpretation of feedback delivered through learning analytics dashboards. In Proceedings of ASCILITE 2014 (pp. 629–633).
Dawson, S., Gašević, D., Siemens, G., & Joksimović, S. (2014). Current state and future trends: A citation network analysis of the learning analytics field. Proceedings of the 4th International Conference on Learning Analytics and Knowledge, 231–240. https://doi.org/10.1145/2567574.2567585
Fleur, D. S., van den Bos, W., & Bredeweg, B. (2020). Learning analytics dashboard for motivation and performance. In Intelligent Tutoring Systems (pp. 478–483). Springer. https://doi.org/10.1007/978-3-030-49663-0_51
Herwina, W. (2021). Optimalisasi kebutuhan murid dan hasil belajar dengan pembelajaran berdiferensiasi. Perspektif Ilmu Pendidikan, 35(2), 175–182. https://doi.org/10.21009/PIP.352.10
Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics for study success: Reflections on current empirical findings. Research and Practice in Technology Enhanced Learning, 15(1), Article 5. https://doi.org/10.1186/s41039-020-00120-5
Jivet, I., Scheffel, M., Drachsler, H., & Specht, M. (2017). Awareness is not enough: Pitfalls of learning analytics dashboards in educational practice. Proceedings of the 7th International Conference on Learning Analytics and Knowledge, 82–91. https://doi.org/10.1145/3027385.3027402
Kemendikbudristek. (2022). Panduan pembelajaran dan asesmen. Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi.
Matcha, W., Uzir, N. A., Gašević, D., & Pardo, A. (2020). A systematic review of learning analytics interventions: A framework for effective implementation. Journal of Learning Analytics, 7(3), 1–28. https://doi.org/10.18608/jla.2020.73.1
Nicol, D. (2017). Reconceptualising feedback as an internal process. Assessment & Evaluation in Higher Education, 42(3), 1–17. https://doi.org/10.1080/02602938.2016.1221664
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2017). Informing progress: Insights on personalized learning implementation and effects. Educational Technology Research and Development, 65(1), 143–171. https://doi.org/10.1007/s11423-016-9477-3
Pardo, A., & Siemens, G. (2019). Ethical and privacy principles for learning analytics. British Journal of Educational Technology, 50(6), 2852–2866. https://doi.org/10.1111/bjet.12818
Schumacher, C., & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior, 78, 397–407. https://doi.org/10.1016/j.chb.2017.06.030
Sedrakyan, G., Mannens, E., & Verbert, K. (2019). Guiding the choice of learning analytics visualizations: Linking dashboard design and pedagogical intent. IEEE Transactions on Learning Technologies, 12(1), 78–92. https://doi.org/10.1109/TLT.2018.2862236
Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/10.1177/0002764213498851
Tomlinson, C. A. (2014). The differentiated classroom: Responding to the needs of all learners (2nd ed.). ASCD.
Tsai, Y.-S., & Gašević, D. (2017). Learning analytics in higher education—challenges and policies. Proceedings of the 7th International Conference on Learning Analytics and Knowledge, 233–242. https://doi.org/10.1145/3027385.3027400
Verbert, K., Duval, E., Klerkx, J., Govaerts, S., & Santos, J. L. (2014). Learning analytics dashboard applications. American Behavioral Scientist, 57(10), 1500–1509. https://doi.org/10.1177/0002764213479363
Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in Human Behavior, 89, 98–110. https://doi.org/10.1016/j.chb.2018.07.027
Wulandari, A. S. (2022). Literature review: Pendekatan berdiferensiasi solusi pembelajaran dalam keberagaman. Jurnal Pendidikan MIPA, 12(3), 682–689. https://doi.org/10.37630/jpm.v12i3.620
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