Modelling the Contribution of Learning Analytics to Sustainable Education: Institutional, Pedagogical, and Societal Approaches

Eleftheria Atta, Avros Morphitis, Leonidas Efthymiou

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    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 languageEnglish
    Title of host publicationPerspectives on Learning Analytics for Maximizing Student Outcomes
    EditorsGürhan Durak, Serkan Cankaya
    Chapter13
    Pages263-281
    Number of pages19
    ISBN (Electronic)1668495279, DOI: 10.4018/978-1-6684-9527-8.ch013
    DOIs
    Publication statusPublished - 1 Oct 2023

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