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

Authors: Christophe Reffay; Marie-Laure Betbeder; Thierry Chanier

Addresses: Science Technology Education & Training (STEF), École Normale Supérieure de Cachan, 61 avenue président Wilson, 94235 Cachan, Cedex, France. ' FEMTO-ST Institute, Université de Franche-Comté, 16 route de Gray, 25030 Besançon, Cedex, France. ' Language Research Laboratory (MSH-LRL), Université Blaise Pascal, 4 rue Ledru, 63057 Clermont-Ferrand, Cedex, France

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 & 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: e-science; electronic science; data sharing; LETEC; learning corpus; teaching corpus; research data; data repositories; publication data sets; replication data sets; multimodal learning; multimodal teaching; corpora exchanges; Mulce; France; higher education; universities; Blaise Pascal University; shareable data; online courses; e-learning; electronic learning; online learning; internet; world wide web; contextual information; metadata; reusable data; human requirements; technical requirements; ethical requirements; corpus structures; repository structures; computer scientists; humanities researchers; technology enhanced learning; dataTEL; data-supported learning; R&D; research and development.

DOI: 10.1504/IJTEL.2012.048310

International Journal of Technology Enhanced Learning, 2012 Vol.4 No.1/2, pp.11 - 30

Received: 06 Apr 2012
Accepted: 17 May 2012

Published online: 31 Dec 2014 *

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