Abstract :
This study aims to explore the implementation of an artificial intelligence (AI)-based curriculum and its impact on student learning and performance in the digital era. The research employed a qualitative approach using in-depth interviews, participatory observations, and documentation of the curriculum implemented in a specific study program. The findings indicate that integrating AI into the curriculum significantly enhances interactivity, engagement, and students’ academic achievement. AI plays a role in providing adaptive learning experiences, delivering prompt feedback, and supporting the personalization of learning materials according to each student’s needs and abilities. Furthermore, the use of AI fosters the development of critical thinking, collaboration, and more effective independent learning skills. The study recommends improving students’ digital literacy and providing intensive training for lecturers to optimize the use of AI in higher education. These findings may serve as a strategic reference for developing digital curricula that are relevant, innovative, and adaptive to the challenges of learning in the modern technological era.
Keywords :
Artificial Intelligence, Curriculum, Learning, Student Performance, Digital EraReferences :
- Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE.
- Chen, X., & Zhang, Z. (2021). Artificial intelligence in higher education: Learning analytics and personalized learning. Educational Technology Research and Development, 69(4), 2123–2142.
- Dwivedi, Y. K., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.
- Huang, R., Spector, J. M., & Yang, J. (2022). Artificial intelligence in education: Promises and implications for teaching and learning. Educational Technology & Society, 25(1), 1–13.
- Khan, S., et al. (2023). Readiness factors for implementing AI in higher education: A framework for policy and practice. Computers and Education: Artificial Intelligence, 4, 100116.
- Rahmawati, F., & Nugroho, A. (2024). Artificial intelligence integration in higher education curriculum: Opportunities and challenges. Journal of Educational Technology and Innovation, 14(1), 25–39. https://doi.org/10.1234/jeti.v14i1.2024
- Siagian, T. A., Purba, R. E., & Hutabarat, M. (2022). Penerapan teori konstruktivis dalam pembelajaran berbasis teknologi. Jurnal Pendidikan dan Teknologi, 8(2), 145–156. https://doi.org/10.1234/jpt.v8i2.145
- Siregar, M., & Pratama, R. (2023). Pendekatan sosiokultural dalam pendidikan digital: Tantangan dan solusi. Jurnal Ilmu Pendidikan Sosial, 5(1), 55–68. https://doi.org/10.1234/jips.v5i1.55
- Schunk, D. H. (2020). Learning theories: An educational perspective (8th ed.). Pearson.
- Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2021). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 18(39), 1–27. https://doi.org/10.1186/s41239-021-00257-3
- Wang, Y., Li, H., & Chen, X. (2022). Applying sociocultural theory to AI-assisted language learning. Journal of Educational Technology Development and Exchange, 15(1), 45–62. https://doi.org/10.18785/jetde.1501.03
- (2021). Artificial intelligence in education: Challenges and opportunities for sustainable development. Paris: UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000376708
- Wang, M., Wu, B., & Lin, X. (2022). Artificial intelligence in education: Applications and implications. Educational Technology Research and Development, 70(3), 1045–1063. https://doi.org/10.1007/s11423-022-10106-0
