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Identifying Patterns of Learner Behaviour: What Business Statistics Students Do with Learning Resources

Author

Listed:
  • Paula Carroll

    (UCD Quinn School of Business, University College Dublin, Belfield, Dublin 4, Ireland)

  • Arthur White

    (UCD Quinn School of Business, University College Dublin, Belfield, Dublin 4, Ireland)

Abstract

The interactions of early stage business students with learning resources over the duration of an introductory statistics module were analysed using latent class analysis. Four distinct behavioural groups were identified. While differing levels of face-to-face attendance and online interaction existed, all four groups failed to engage with online material in a timely manner. The four groups were found to demonstrate significantly different levels of attainment of the module learning outcomes. The patterns of behaviour of the different groups of students give insights as to which analytics education learning resources students use and how their use patterns relate to their level of attainment of the module learning outcomes.

Suggested Citation

  • Paula Carroll & Arthur White, 2017. "Identifying Patterns of Learner Behaviour: What Business Statistics Students Do with Learning Resources," INFORMS Transactions on Education, INFORMS, vol. 18(1), pages 1-13, September.
    • Handle: RePEc:inm:orited:v:18:y:2017:i:1:p:1-13
    DOI: 10.1287/ited.2016.0169
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    References listed on IDEAS

    as
    1. Fraley, Chris & Raftery, Adrian, 2007. "Model-based Methods of Classification: Using the mclust Software in Chemometrics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i06).
    2. David S. Moore, 1997. "New Pedagogy and New Content: The Case of Statistics," International Statistical Review, International Statistical Institute, vol. 65(2), pages 123-137, August.
    3. White, Arthur & Murphy, Thomas Brendan, 2014. "BayesLCA: An R Package for Bayesian Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i13).
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    Cited by:

    1. Sinjini Mitra & Gerard Beenen, 2019. "A Comparative Study of Learning Styles and Motivational Factors in Traditional and Online Sections of a Business Course," INFORMS Transactions on Education, INFORMS, vol. 20(1), pages 1-15, September.
    2. Paula Carroll, 2023. "Analytics Modules for Business Students," SN Operations Research Forum, Springer, vol. 4(2), pages 1-20, June.

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