AI-BASED ADAPTIVE TEACHING METHODS FOR IMPROVING STUDENT LEARNING OUTCOMES
Abstract
This article examines the role of artificial intelligence in adaptive teaching and its impact on student learning outcomes. It highlights how AI-driven tools personalize instruction, support differentiated learning, and assist teachers in identifying learner needs in real time. The study draws on contemporary developments in educational technology and pedagogy, emphasizing how adaptive systems can enhance engagement, improve mastery, and promote more inclusive learning environments. The article provides an analytical overview of AI’s pedagogical value while noting the importance of ethical application and teacher guidance.
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References
- Holmes W Bialik M Fadel C Artificial Intelligence in Education Promises and Implications for Teaching and Learning Center for Curriculum Redesign
- Luckin R Holmes W Griffiths M Forcier L Intelligence Unleashed An Argument for AI in Education Pearson
- Woolf B Learning with AI The Future of Education MIT Press
- Kerr K Adaptive Learning in Practice A Guide for Educators and Institutions Journal of Educational Technology and Society
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt this work for any purpose, including commercially, provided you give appropriate credit to the original author(s) and source, provide a link to the license, and indicate if changes were made.
License: creativecommons.org
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