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A Learning Analytics Approach in Web-Based Multi-user Learning Games

Abstract : As technology changes, learning games are adapted to target audience and available devices. Analytics methods must keep up with keeping the learner in focus. This work presents the Multi-Touch Learning Game (MTLG) framework, designed to implement cross platform educational games with support for cooperative, collaborative and competitive settings. It shows adaption of a user-centred learning analytics data model, the learning data context model, to fit circumstantial requirements of multi-user settings on a shared device in games implemented using the MTLG framework. A first field study has been conducted, and the results, challenges and lessons learned are discussed.
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https://hal.inria.fr/hal-02370920
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Submitted on : Tuesday, November 19, 2019 - 4:13:23 PM
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Matthias Ehlenz, Thiemo Leonhardt, Ulrik Schroeder. A Learning Analytics Approach in Web-Based Multi-user Learning Games. Open Conference on Computers in Education (OCCE), Jun 2018, Linz, Austria. pp.167-171, ⟨10.1007/978-3-030-23513-0_17⟩. ⟨hal-02370920⟩

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