Identifying Patterns of Learner Behaviour: What Business Statistics Students Do with Learning Resources
Paula Carroll () and
Arthur White ()
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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
INFORMS Transactions on Education, 2017, vol. 18, issue 1, 1-13
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.
Keywords: analytics education; learning resource development; latent class analysis (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orited:v:18:y:2017:i:1:p:1-13
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