A comparative analysis of approaches to design and capitalize data indicators

Albane Gril (1) , Madeth May (1) , Valérie Renault (2) , Sébastien George (1)

1 LIUM - Laboratoire d'Informatique de l'Université du Mans
2 CREN - Centre de recherche en éducation de Nantes

In Technology Enhanced Learning field, learning analytics cover multiple research challenges, among which tracking data analysis and data indicator design and visualization. Part of our research effort is dedicated to change their design process, in order to capitalize them. This would allow us to meet a need in cost savings of design workflow and to encourage the adoption by users throughout their implications in a simplified design process. A study of the state of the art has been made to explore various solutions which could be exploited in the capitalization of indicators on both levels, design and implementation. It sets a direction toward a user-centered approach, aiming at a better control of users over their observation needs and the use of their data.

Mots clés: Learning analytics; capitalization; indicators; traces; user-centered design; comparative analysis

Domaines: Environnements Informatiques pour l'Apprentissage Humain

Albane Gril, Madeth May, Valérie Renault, Sébastien George. A comparative analysis of approaches to design and capitalize data indicators. 18th International Conference Cognition and Exploratory Learning in Digital Age, Oct 2021, Virtual, Portugal. pp.79-86. ⟨hal-03463835⟩