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Modelling factors for predicting student learning outcomes in higher education

  • Linda Price
  • , David Gijbels
  • , Vincent Donche
  • , John T.E. Richardson
  • , Jan D. Vermunt

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

    Abstract

    This chapter presents a heuristic model of student leaning as a means to understanding the scope of factors to be considered in making predictions about student learning. It is underpinned by a review of a wide body of literature. The model is drawn from Price and Richardson's 4P model (2004) that considered factors in improving student learning and argues that the same issues apply to predicting student learning outcomes. It builds upon existing research into learning and teaching. It is an articulation and an extension of Dunkin and Biddle?s (1974) model, the Biggs (1985) original Presage-Process-Product model and research by Prosser and Trigwell (1999). The model has four main groups of factors: presage, perceptions, process and product. The presage group contains personological and situational factors such as context. Perceptions include how students conceive learning, how teachers conceive teaching, and the context. The process group of factors incorporates approaches to learning in students and teachers approaches to teaching. The model is presented as a basis for engaging in future research in a holistic manner that may bear further fruit in predicting student learning.
    Original languageEnglish
    Title of host publicationLearning patterns in Higher Education: Dimensions and research perspectives
    Place of PublicationAbingdon
    PublisherRoutledge
    Pages56-77
    ISBN (Print)9780415842518
    Publication statusPublished - 1 Jan 2014

    Publication series

    NameNew Perspectives on Learning and Instruction

    Keywords

    • learning technology
    • Evaluation of higher educational practices
    • learning
    • teaching and learning

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