Abstract
Learning analytics (LA) emerged and expanded rapidly in the 2000s as a process that involves the collection and analysis of student-related data towards redesigning meaningful learning experiences. Almost two decades later, the current chapter offers a review of how learning analytics is utilized in higher education at three different levels. First, the analysis explains how LA facilitates evidence-based decision-making by administrators and educators at an institutional level. Then, the analysis adopts a pedagogical approach to delineate how LA informs current and future learning strategies. Third, the analysis adopts a societal approach to explore the potential contribution of LA to diversity, inclusion and equality in higher education. By comprising institutional, pedagogical and societal approaches, the chapter concludes with a model, which locates learning analytics in the framework of sustainable education.
Original language | English |
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Title of host publication | Perspectives on Learning Analytics for Maximizing Student Outcomes |
Editors | Gürhan Durak, Serkan Cankaya |
Chapter | 13 |
Pages | 263-281 |
Number of pages | 19 |
ISBN (Electronic) | 1668495279, DOI: 10.4018/978-1-6684-9527-8.ch013 |
DOIs | |
Publication status | Published - 1 Oct 2023 |