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Dashboards for Computer-Supported Collaborative Learning

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 158))

Abstract

In the field of learning analytics, dashboards are visual displays that help instructors and students monitor performance, track goals and modify learning-related activities and plans. Student-facing dashboards provide visualizations of the data students need to take responsibility for their own learning, while instructor-facing dashboards help instructors guide and orchestrate student learning. After summarizing the spectrum of learning analytics research on dashboards, we critically review dashboards designed to support collaborative learning and examine research on student-facing and instructor-facing dashboards for problem-based learning, project-based learning, collaborative argumentation, and various team-based learning activities. We explain key concepts such as group awareness, shared mental models, and group cognition, and review tools including shared mirroring systems, ambient displays, and learning dashboards. We then identify opportunities and challenges in the burgeoning field of learning analytics dashboards for computer-supported collaborative learning and argue that learning dashboards can be a useful aid in facilitating collaborative learning but only when designed with a clear pedagogical purpose informed by research and theory will learning dashboards be able to foster effective teaching and learning strategies.

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  1. Simon Fraser University, Burnaby, Canada

    Arita L. Liu & John C. Nesbit

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  1. Arita L. Liu
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  1. Department of Informatics, University of Piraeus, Piraeus, Greece

    Maria Virvou

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Efthimios Alepis

  3. University of Piraeus, Pireas, Greece

    George A. Tsihrintzis

  4. Faculty of Science, Technology and Mathematics, University of Canberra, Canberra, SA, Australia

    Lakhmi C. Jain

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Liu, A.L., Nesbit, J.C. (2020). Dashboards for Computer-Supported Collaborative Learning. In: Virvou, M., Alepis, E., Tsihrintzis, G., Jain, L. (eds) Machine Learning Paradigms. Intelligent Systems Reference Library, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-13743-4_9

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