Abstract
A very wide range of online interaction analysis staying in the hands of researchers, and tools being implemented in research prototypes, often used only in non-replicated experimentations, we point out the need for TEL research community to reach large scale validation for its results. This paper is a concrete step in this direction. For a deeper collaboration in our community, we suggest to share structured data collections. The Mulce project aims at proposing a structure for teaching and learning corpora (including pedagogical and research context), and especially for interaction tracks. Two main corpora are built according this structure. This paper defines a teaching and learning corpus, shows its main structure and browses some parts of the structured interaction data. We also describe the platform that enables the community to browse and analyze a shared corpus.
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Reffay, C., Betbeder, ML. (2009). Sharing Corpora and Tools to Improve Interaction Analysis. In: Cress, U., Dimitrova, V., Specht, M. (eds) Learning in the Synergy of Multiple Disciplines. EC-TEL 2009. Lecture Notes in Computer Science, vol 5794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04636-0_20
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