Sharing corpora and tools to improve interaction analysis

Christophe Reffay (1, 2) , Marie-Laure Betbeder (1)

1 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
2 STEF - Sciences Techniques Éducation Formation

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.

Mots clés: e-research; corpora sharing; interaction analysis

Mots clés: Mutualisation de Corpus d'enseignement et apprentissage; Recherche en ligne; Analyse des interactions

Domaines: Education

Christophe Reffay, Marie-Laure Betbeder. Sharing corpora and tools to improve interaction analysis. Fourth European Conference on Technology Enhanced Learning, Sep 2009, Nice, France. pp.196-210. ⟨edutice-00399841⟩