Modelling the contribution of learning analytics to sustainable education: Institutional, pedagogical, and societal approaches

    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
    PublisherIGI Global
    Pages263-281
    Number of pages19
    ISBN (Electronic)9781668495285
    ISBN (Print)9781668495278
    DOIs
    Publication statusPublished - 24 Oct 2023

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