Multimodal learning and teaching corpora exchange: Lessons learned in five years by the Mulce project

Christophe Reffay 1 Marie-Laure Betbeder 2 Thierry Chanier 3
1 STEF - Sciences Techniques Éducation Formation
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies
3 LRL
LRL - Laboratoire de Recherche sur le Langage
Abstract : In order to make replication possible for interaction analysis in online learning, the French project named Mulce (2007-2010) and its team worked on requirements for research data to be shareable. We defined a learning and teaching corpus (LETEC) as a package containing the data issued from an online course, the contextual information and metadata, necessary to make these data visible, shareable and reusable. These human, technical and ethical requirements are presented in this paper. We briefly present the structure of a corpus and the repository we developed to share these corpora. Related works are also described and we show how conditions evolved between 2006 and 2011. This leads us to report on how the Mulce project was faced with four particular challenges and to suggest acceptable solutions for computer scientists and researchers in the humanities: both concerned by data sharing in the Technology Enhanced Learning community.
Keywords : publication and replication datasets research data repository LETEC Learning and Teaching Corpus Data sharing E-science
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Article dans une revue
International Journal of Technology Enhanced Learning, 2012, Datasets and Data Supported Learning in Technology-Enhanced Learning, pp.1-20
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Contributeur : Christophe Reffay <>
Soumis le : mercredi 16 janvier 2013 - 07:00:18
Dernière modification le : jeudi 9 février 2017 - 16:01:55
Document(s) archivé(s) le : mercredi 17 avril 2013 - 02:35:14

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Christophe Reffay, Marie-Laure Betbeder, Thierry Chanier. Multimodal learning and teaching corpora exchange: Lessons learned in five years by the Mulce project. International Journal of Technology Enhanced Learning, 2012, Datasets and Data Supported Learning in Technology-Enhanced Learning, pp.1-20. <edutice-00718392>

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