AI-DRIVEN LEARNING ANALYTICS: TRANSFORMING ASSESSMENT AND PERSONALIZED EDUCATION IN HIGHER LEARNING

Authors

  • Dr. Mark Johansson

    Department of Computer Science and Education Technology, Lund University, Sweden

    Author

Keywords:
Artificial Intelligence, Learning Analytics, Personalized Learning, Assessment, Higher Education, Data Ethics
Abstract

Artificial Intelligence (AI) and learning analytics (LA) are revolutionizing higher education by enabling personalized learning, predictive assessment, and data-informed decision-making. This study explores how AI-integrated analytics platforms impact student performance, retention, and adaptive instruction in European universities. Employing a multi-institutional survey of 380 faculty members and secondary data from institutional analytics systems, the research identifies significant improvements in student engagement and assessment accuracy. The paper further discusses ethical and pedagogical implications, proposing a model for equitable and responsible AI adoption in education.

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Published
2025-11-18
Issue
Vol. 1 No. 1 (2025)
Section
Articles
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Copyright (c) 2025 Dr. Mark Johansson (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

AI-DRIVEN LEARNING ANALYTICS: TRANSFORMING ASSESSMENT AND PERSONALIZED EDUCATION IN HIGHER LEARNING. (2025). Eureka Journal of Education & Learning Technologies, 1(1), 7-12. https://eurekaoa.com/index.php/2/article/view/6