Towards Learning Analytics Metamodels in a Context of Publishing Chains

Camila Canellas, Camila Canellas, François Bouchet, Thibaut Arribe, Vanda Luengo

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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Paper Citation


in Harvard Style

Canellas C., Bouchet F., Arribe T. and Luengo V. (2021). Towards Learning Analytics Metamodels in a Context of Publishing Chains. In Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-502-9, pages 45-54. DOI: 10.5220/0010402900450054


in Bibtex Style

@conference{csedu21,
author={Camila Canellas and François Bouchet and Thibaut Arribe and Vanda Luengo},
title={Towards Learning Analytics Metamodels in a Context of Publishing Chains},
booktitle={Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2021},
pages={45-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010402900450054},
isbn={978-989-758-502-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - Towards Learning Analytics Metamodels in a Context of Publishing Chains
SN - 978-989-758-502-9
AU - Canellas C.
AU - Bouchet F.
AU - Arribe T.
AU - Luengo V.
PY - 2021
SP - 45
EP - 54
DO - 10.5220/0010402900450054