Bite-sized and peer-assisted video-based learning in statistics education: benefits on attainment, attitudes and preferences of university students

Angel Tan, Linda Kaye, Elena Spiridon, Jean Davies, Roderick Nicolson, Themis Karaminis

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The use and acceptance of online learning have increased following the COVID-19 pandemic. This mixed-methods study examined learners preferences and performance in online learning interactions in relation to two factors: 'bite-sized' learning and 'presenter status' in instructional videos. University students (N = 18) without a mathematical background utilised bite-sized online learning episodes focusing on statistics. Each episode included a 10-minute instructional video followed by an assessment. The videos implemented three alternative 'presenter-status' conditions: lecturer, student-imitating-lecturer, or student-peer-tutor. Individual students completed three episodes, one from each presenter-status condition (counterbalanced). Participants presented high performance in the post-episode assessments, irrespective of presenter status. Students also reported remarkably positive views towards bite-sized learning in user-satisfaction questionnaires. Finally, qualitative analysis of open-ended responses and interviews uncovered three main themes: positive learning experiences, divergent attitudes towards video-based learning, and differential preferences for presenter status. These findings have clear implications for teaching and learning in Higher Education.
    Original languageEnglish
    Pages (from-to)143-163
    JournalInternational Journal of Technology Enhanced Learning
    Volume15
    Issue number2
    DOIs
    Publication statusPublished (VoR) - 1 Jan 2023

    Keywords

    • Online learning
    • Video-based learning
    • Bite-sized learning
    • Technology-enhanced learning
    • Statistics literacy
    • Higher education
    • Mixed methods

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