Dampak Kecerdasan Buatan dalam Pembelajaran Matematika dan IPA: Pengembangan Kurikulum yang Responsip terhadap Era Digital
DOI:
https://doi.org/10.47200/aoej.v17i1.3374Keywords:
artificial intelligence, digital curriculum, mathematics learning, science learningAbstract
The rapid development of Artificial Intelligence (AI) has significantly influenced various sectors, including education, particularly in Mathematics and Science learning. The integration of AI into instructional processes presents both opportunities and challenges, especially regarding curriculum readiness in responding to the demands of the digital era. The main problem addressed in this study is how AI impacts the learning of Mathematics and Science and how a responsive curriculum can be developed to accommodate these technological advancements. This study aims to analyze the role of AI in enhancing the effectiveness of Mathematics and Science learning, identify emerging competencies required by students, and formulate principles for curriculum development that align with AI integration. The research employs a systematic literature review method by examining scholarly articles, research reports, and educational policy documents relevant to AI and curriculum development. The results indicate that AI contributes positively to personalized learning, improved understanding of abstract concepts, enhanced problem-solving skills, and increased digital literacy among students. Furthermore, AI encourages a shift in the teacher’s role from information transmitter to learning facilitator and mentor. However, effective implementation requires curriculum adjustments that emphasize critical thinking, digital ethics, and human–technology collaboration. In conclusion, developing a curriculum that is responsive to the digital era necessitates the pedagogical, sustainable, and ethical integration of artificial intelligence, with a strong focus on fostering 21st-century competencies.
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Adawiyah, S. R., & Islam, J. M. P. Merancang Kurikulum Inovatif Berbasis Teknologi dan Kompetensi: Adaptif terhadap Kebutuhan Siswa, Tantangan AI, dan Nilai-Nilai Moral.
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage Publications.
Flogie, A., & Aberšek, B. (2015). Technological solutions for the development of individualised learning in mathematics. Journal of Baltic Science Education, 14(4), 509–520.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Ikhlas, Al. "Pengaruh Penerapan Pendekatan Saintifik Terhadap Hasil Belajar Matematika Siswa Kelas VIII SMP Pada Materi Teorema Phygoras." Jurnal Inovasi Penelitian, vol. 1, no. 7, Dec. 2020, pp. 1395-1406, doi:10.47492/jip.v1i7.259.
Ikhlas, A. (2018). Pengaruh Model Pembelajaran Berbasis Masalah dan Gaya Kognitif Siswa Terhadap Hasil Belajar Matematika Siswa di Kelas VIII SMP Negeri 7 Kerinci. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 2(2), 135–143. https://doi.org/10.22437/jiituj.v2i2.5988.
Ikhlas, A. (2018). Pengaruh model pembelajaran berbasis masalah dan gaya kognitif terhadap hasil belajar matematika siswa kelas VIII SMP. Jurnal Curricula, 3(1), 1–10. https://doi.org/10.22216/jcc.v3i1.1706
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. EBSE Technical Report.
Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). Sage Publications.
Kurnia, T. (2023). Academic writing for educational research. Jakarta: EduPress.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Makransky, G., & Petersen, G. B. (2019). Immersive virtual reality and learning: A meta-analysis. Educational Psychology Review, 31(3), 703–720. https://doi.org/10.1007/s10648-019-09490-0.
Marif, H., Al Mu'allif, M. B., Nafis, A., Makmun, S., & Ahid, N. (2025). Desain dan Pengembangan Kurikulum Pendidikan Menengah: Kajian Teoritis dan Konseptual di Era Digital. Paedagogos: Journal of Education and Learning, 1(2), 67-81.
OECD. (2021). Digital education outlook 2021: Pushing the frontiers with AI, blockchain and robots. OECD Publishing.
Rachman, A., Dzakir, I., Setiyani, I. D., & Kurniawan, M. F. (2025). Analisis Pembelajaran Modern Dalam Meningkatkan Literasi Digital Siswa di Era Industri 4.0. Jurnal Media Digital, 1(02), 120-132.
Riska, N., Rosmilawati, I., & Juansah, D. E. (2025). Integrasi teknologi AI dalam Pembelajaran adaptif untuk Meningkatkan Keterampilan Abad 21 di Sekolah Dasar. Jurnal Inovasi dan Teknologi Pendidikan, 4(1), 180-198.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
UNESCO. (2022). Guidance on artificial intelligence and education. UNESCO Publishing.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39), 1–27. https://doi.org/10.1186/s41239-019-0171-0.
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