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Towards Learning Analytics Metamodels in a Context of Publishing

Abstract : In a context of pedagogical resource production via publishing chains that are based on an model-driven engineering approach, we consider the proposition of a learning analytics implementation. We argue that, by using the same approach to carry out such an implementation versus a classical one, a series of benefits could be assessed, whether they are related to the fact that it is using this specific context, methodological approach or both. Perhaps one of the most particular benefits is the detailed knowledge of the semantics and structure of any document produced, that could therefore be automatically added to the traces/analysis. Other potential improvements discussed are: separation of content and form, interoperability, compliance with data privacy, maintainability, performance, multi format, customization and reproducibility.
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Submitted on : Thursday, September 23, 2021 - 6:41:23 PM
Last modification on : Friday, September 24, 2021 - 2:42:01 PM


Morais Canellas et al. - 2021 ...
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Camila Canellas, François Bouchet, Thibaut Arribe, Vanda Luengo. Towards Learning Analytics Metamodels in a Context of Publishing. 13th International Conference on Computer Supported Education, CSEDU, Apr 2021, Prague (virtual), Czech Republic. pp.45-54, ⟨10.5220/0010402900450054⟩. ⟨hal-03331204⟩



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