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    Investigating prompts for supporting students' self-regulation – A remaining challenge for learning analytics approaches?

    Access Status
    Fulltext not available
    Authors
    Schumacher, C.
    Ifenthaler, Dirk
    Date
    2021
    Type
    Journal Article
    
    Metadata
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    Citation
    Schumacher, C. and Ifenthaler, D. 2021. Investigating prompts for supporting students' self-regulation – A remaining challenge for learning analytics approaches? Internet and Higher Education. 49: Article No. 100791.
    Source Title
    Internet and Higher Education
    DOI
    10.1016/j.iheduc.2020.100791
    ISSN
    1096-7516
    Faculty
    Learning Innovation and Teaching Excellence Centre
    School
    Learning Analytics
    URI
    http://hdl.handle.net/20.500.11937/86967
    Collection
    • Curtin Research Publications
    Abstract

    To perform successfully in higher education learners are considered to engage in self-regulation. Prompts in digital learning environments aim at activating self-regulation strategies that learners know but do not spontaneously show. To investigate such interventions learning analytics approaches can be applied. This quasi-experimental study (N = 110) investigates whether different prompts based on theory of self-regulated learning (e.g., cognitive, metacognitive, motivational) impact declarative knowledge and transfer, perceptions as well as online learning behavior, and whether trace data can inform learning performance. Findings indicate small effects of prompts supporting the performance in a declarative knowledge and transfer test. In addition, the prompted groups showed different online learning behavior than the control group. However, trace data in this study were not capable of sufficiently explaining learning performance in a transfer test. Future research is required to investigate adaptive prompts using trace data in authentic learning settings as well as focusing on learners' reactions to distinct prompts.

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