How do we measure student learning in higher education? Modelling factors

Linda Price (Contributor)

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper 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
Publication statusPublished - Dec 2011
Externally publishedYes
EventFirst Meeting of the Scientific Network Group: Learning in Transition: Dimensionality, Validity and Development - Antwerp, Belgium
Duration: 1 Dec 20112 Dec 2011

Conference

ConferenceFirst Meeting of the Scientific Network Group: Learning in Transition: Dimensionality, Validity and Development
Period1/12/112/12/11

Bibliographical note

Organising Body: University of Antwerp Scientific Research Network

Keywords

  • learning patterns
  • student learning outcomes
  • modelling factors
  • measuring learning
  • modelling learning
  • Education

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