Identifying the impact of feedback over time and at scale: opportunities for learning analytics

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    7 Citations (Scopus)

    Abstract

    In contemporary higher education, learner behaviour is increasingly traced by digital systems. As such, there is a strong potential for data mining over time to track and represent learner actions in the context of their assessment performance. This chapter explores how learning analytics can assist educators to design impactful feedback processes and help learners identify the impact of feedback information, both across time and at scale. In doing so, it offers current examples of how learning analytics could guide educational designs and be employed to support learners to direct their own learning and study habits. This chapter also highlights how learning analytics can help understand and optimise learning, and the environments in which the learning occurs.

    Original languageEnglish
    Title of host publicationThe Impact of Feedback in Higher Education
    Subtitle of host publicationImproving Assessment Outcomes for Learners
    EditorsMichael Henderson, Rola Ajjawi, David Boud, Elizabeth Molloy
    Place of PublicationCham Switzerland
    PublisherPalgrave Macmillan
    Chapter12
    Pages207-223
    Number of pages17
    Edition1st
    ISBN (Electronic)9783030251123
    ISBN (Print)9783030251116
    DOIs
    Publication statusPublished - 2019

    Keywords

    • assessment feedback
    • learning analytics
    • massification
    • modularisation

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