A Learning Analytics Approach in Web-Based Multi-user Learning Games - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2019

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

Résumé

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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hal-02370920 , version 1 (19-11-2019)

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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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