Building Adaptive Education in the Era of Change
Keywords:
Adaptive education, Artificial intelligence, Digital technologyAbstract
This study aims to explore the concept, implementation, and benefits of adaptive education in the digital era. It also seeks to identify key challenges and propose strategic solutions to ensure inclusive, equitable, and future-oriented learning. This study uses literature study and comparative analysis methods to examine the concepts, benefits, challenges, and strategies for the implementation of adaptive education in Indonesia. The results of the study show that adaptive education is effective in improving the quality and inclusiveness of learning, but still faces challenges in the form of infrastructure inequality, teacher readiness, and data privacy issues. Collaboration between governments, educators, and technology developers, as well as policies that support teacher training and equitable access to technology, is needed so that adaptive education can be the foundation of a relevant and quality future education system in the digital era.
References
Abadi, P. S. S. H. (n.d.). The Role of Digital Technology-Based Learning Innovation in Adaptive Education. Journal of Equivalence Education and Learning (JPPK), 1(01), 779–788.
Alias, N. F., & Abdul Razak, R. (2023). Exploring the pedagogical aspects of microlearning in educational settings: A systematic literature review. Malaysian Journal of Learning and Instruction (MJLI), 20(2), 267–294.
Christanti, M. F., Mawangir, M., Arevin, A. T., Ramadhan, I., & Limijadi, E. K. S. (2024). The digital divide in education: Bridging gaps in the era of online learning. Migration Letters, 21(S4), 1070–1079.
Er-Rafyg, A., Zankadi, H., & Idrissi, A. (2024). AI in adaptive learning: challenges and opportunities. Modern Artificial Intelligence and Data Science 2024: Tools, Techniques and Systems, 329–342.
Hardianti, H., Risnawati, R., & Ananta, N. (2024). Enhancing personalized learning and engagement through technology in modern education. Educia Journal, 2(1), 46–55.
Johnson, L., Becker, S. A., Cummins, M., Estrada, V., Freeman, A., & Hall, C. (2016). NMC horizon report: 2016 higher education edition. The New Media Consortium.
Kokkinidis, K.-I., & Folina, M.-T. (2024). Augmented reality as an educational tool in higher education: A literature survey. International Research Journal of Science, Technology, Education, & Management (IRJSTEM), 4(2).
Krechetov, I., & Romanenko, V. (2020). Implementing the adaptive learning techniques. 2 (eng), 252–277.
Marques, L. S., Gresse von Wangenheim, C., & Hauck, J. C. R. (2020). Teaching machine learning in school: A systematic mapping of the state of the art. Informatics in Education, 19(2), 283–321.
Meilinda, V., Pasha, C., & Zuhriyah, N. F. (2025). The impact of e-learning platforms on student engagement and academic achievement: The impact of e-learning platforms on student engagement and academic achievement. MENTARI Journal: Management, Education and Information Technology, 3(2), 157–167.
Parn, L., Mariyanti, T., & Widyakto, A. (2025). Optimization of e-learning with adaptive ai for inclusive education. MENTARI Journal: Management, Education and Information Technology, 3(2), 168–176.
Prensky, M. (2001). Digital natives, digital immigrants part 2: Do they really think differently? On the Horizon, 9(6), 1–6.
Sappaile, B. I., Nuridayanti, N., Judijanto, L., & Rukimin, R. (2024). Analysis of the influence of artificial intelligence-based adaptive learning on the academic achievement of high school students in the digital era. Western Science Journal of Education, 2(01), 25–31.
Tomlinson, C. A. (2014). The differentiated classroom: Responding to the needs of all learners. Ascd.
Wang, X., Huang, R. �Tammy�, Sommer, M., Pei, B., Shidfar, P., Rehman, M. S., Ritzhaupt, A. D., & Martin, F. (2024). The efficacy of artificial intelligence-enabled adaptive learning systems from 2010 to 2022 on learner outcomes: a meta-analysis. Journal of Educational Computing Research, 62(6), 1568–1603.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Edy Rakhmadi, Etioti Br. Purba, Norliani, Muhammad Muhaimin, Sulistiyana
This work is licensed under a Creative Commons Attribution 4.0 International License.
