Harnessing Learning Analytics and Artificial Intelligence for Student Success: Applications and Implications in Higher Education
Harnessing Learning Analytics and Artificial Intelligence for Student Success: Applications and Implications in Higher Education

Author(s): Bistra Vassileva
Subject(s): Economy, Education, Higher Education , ICT Information and Communications Technologies
Published by: Икономически университет - Варна
Keywords: learning analytics; higher education; personalised learning pathways
Summary/Abstract: Learning analytics (LA) has emerged as a powerful approach to enhance teaching, learning, and decision-making in HE by leveraging data-driven insights. This paper explores the applications of LA and artificial intelligence (AI) in HEIs, with a particular focus on its role in improving student engagement, predicting academic performance, and supporting personalised learning pathways. We review recent empirical studies to demonstrate how HEIs can integrate LA and AI into digital learning environments, course management systems, and institutional decision-making processes. Particular attention is given to the ethical dimensions of student data use, including privacy, consent, and algorithmic transparency. The paper concludes by outlining a framework for effective implementation of LA in HE, highlighting challenges such as faculty readiness, data interoperability, and institutional policy alignment. By advancing a holistic approach, LA can be positioned not only as a technological innovation but also as a strategic driver of student-centered, evidence-based education.

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