Adaptive Learning through Artificial Intelligence

  • Meet Ashokkumar Joshi Department of Information Systems Security, University of Cumberlands
Keywords: Adaptive learning, Artificial Intelligence

Abstract

This article explores the integration of artificial intelligence (AI) into adaptive learning systems for the purpose of individualizing education through machine learning and predictive analytics. It examines the benefits, challenges and implications of this merger and highlights its potential to revolutionize education by providing a customized and streamlined learning experience. It discusses the role of AI in learner modeling, content customization, and feedback mechanisms, along with considerations such as privacy, data security, and algorithmic bias. AI-powered adaptive learning promises to shape the future of education in the digital age by enabling learners and educators to achieve optimal outcomes.

References

1. Brusilovsky, P. (1999). Adaptive and Intelligent Technologies for Web-based Education. Künstliche Intelligenz, (4), 19-25. Available online at http://www2.sis.pitt.edu/~peterb/papers/KIreview.html.
2. Brusilovsky, P., & Peylo, C. (2003). Adaptive and intelligent web-based educational systems. International Journal of Artificial Intelligence in Education, 13(2-4), 159-172.
3. Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In Handbook of educational psychology (pp. 446-464). American Psychological Association.
4. Heffernan, N. T., & Heffernan, C. L. (2014). The ASSISTments ecosystem: Building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching. International Journal of Artificial Intelligence in Education, 24(4), 470-497.
Published
2024-02-15
How to Cite
[1]
Joshi, M.A. 2024. Adaptive Learning through Artificial Intelligence. International Journal on Integrated Education. 7, 1 (Feb. 2024), 41-43.
Issue
Vol. 7 No. 1 (2024): January
Section
Articles
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