Towards a Capitalization of Processes Analyzing Learning Interaction Traces

Alexis Lebis 1, 2 Marie Lefevre 2 Vanda Luengo 1 Nathalie Guin 2
2 TWEAK - Traces, Web, Education, Adaptation, Knowledge
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Analyzing data coming from e-learning environments can produce knowledge and potentially improve pedagogical efficiency. Nevertheless, TEL community faces heterogeneity concerning e-learning traces, analysis processes and tools leading these analyses. Therefore, analysis processes have to be redefined when their implementation context changes: they cannot be reused, shared nor easily improved. There is no capitalization and we consider this drawback as an obstacle for the whole community. In this paper, we propose an independent formalism to describe analysis processes of e-learning interaction traces, in order to capitalize them and avoid these technical dependencies. We discuss both this capitalization and its place and effects in the iterative learning analysis procedure.
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Alexis Lebis, Marie Lefevre, Vanda Luengo, Nathalie Guin. Towards a Capitalization of Processes Analyzing Learning Interaction Traces. 11th European Conference on Technology Enhanced Learning (EC-TEL 2016), Sep 2016, Lyon, France. pp.397-403, ⟨10.1007/978-3-319-45153-4_33⟩. ⟨hal-01336851⟩

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