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Communication Dans Un Congrès Année : 2022

Learning Analytics Metamodel: Assessing the Benefits of the Publishing Chain's Approach

Résumé

In this work, we propose a learning analytics implementation based on a model-driven engineering approach. It aims at assessing the benefits that could arise from such an implementation, when pedagogical resources are produced via publishing chains, that already use the same approach to produce documents. Previously, we have discussed these potential benefits from a more theoretical point of view. In the present work, we present a concrete implementation of a metamodel to integrate a learning analytics system closely linked to the knowledge of the semantics and structure of any document produced, natively. Finally, we present an initial evaluation of this metamodel by modelers and discuss the limits of this metamodel and the future changes required.
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Dates et versions

hal-03780874 , version 1 (19-09-2022)

Identifiants

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Camila Morais Canellas, François Bouchet, Thibaut Arribe, Vanda Luengo. Learning Analytics Metamodel: Assessing the Benefits of the Publishing Chain's Approach. 13th International Conference on Computer Supported Education, CSEDU 2021, Apr 2021, Virtual event, France. pp.97-114, ⟨10.1007/978-3-031-14756-2_6⟩. ⟨hal-03780874⟩
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