Sharing corpora and tools to improve interaction analysis

Christophe Reffay; Marie-Laure Betbeder

edutice-00399841, version 1

Sharing corpora and tools to improve interaction analysis

Christophe Reffay () ^1, 2, Marie-Laure Betbeder ( Author to contact preferably ) ¹

Fourth European Conference on Technology Enhanced Learning (2009) 196-210

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.

1: Laboratoire d'Informatique de Franche-Comté (LIFC)
Université de Franche-Comté : EA4269
2: Sciences Techniques Éducation Formation (STEF)
INRP – École normale supérieure de Cachan - ENS Cachan

edutice-00399841, version 1
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From: Christophe Reffay <>
Submitted on: Tuesday, 20 October 2009 07:00:00
Updated on: Tuesday, 20 October 2009 11:21:17

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%% edutice-00399841, version 1
%% http://edutice.archives-ouvertes.fr/edutice-00399841
@inproceedings{reffay:edutice-00399841,
    hal_id = {edutice-00399841},
    url = {http://edutice.archives-ouvertes.fr/edutice-00399841},
    title = {{Sharing corpora and tools to improve interaction analysis}},
    author = {Reffay, Christophe and Betbeder, Marie-Laure},
    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. 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.}},
    keywords = {Mutualisation de Corpus d'enseignement et apprentissage, Recherche en ligne, Analyse des interactions e-research, corpora sharing, interaction analysis},
    language = {English},
    affiliation = {Laboratoire d'Informatique de Franche-Comt{\'e} - LIFC , Sciences Techniques {\'E}ducation Formation - STEF},
    booktitle = {{Learning in the Synergy of Multiple Disciplines}},
    publisher = {Springer},
    pages = {196-210},
    address = {Nice, France},
    editor = {Ulrike Cress, Vania Dimitrova, Marcus Specht },
    note = {ISBN 978-3-642-04635-3, LNCS 5794, },
    year = {2009},
    month = Sep,
    pdf = {http://edutice.archives-ouvertes.fr/edutice-00399841/PDF/ECTEL\_fp41.pdf},
}

%F edutice-00399841, version 1
%0 Conference Proceedings
%U http://edutice.archives-ouvertes.fr/edutice-00399841
%T Sharing corpora and tools to improve interaction analysis
%A Reffay, Christophe
%A Betbeder, Marie-Laure
%+ Laboratoire d'Informatique de Franche-Comté - LIFC , Sciences Techniques Éducation Formation - STEF
%G English
%X 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.
%X 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.
%2 Sciences et techniques/Informatique
%2 Informatique; Technology
%2 Ingénierie de formation
%K Mutualisation de Corpus d'enseignement et apprentissage, Recherche en ligne, Analyse des interactions
%K e-research, corpora sharing, interaction analysis
%B Fourth European Conference on Technology Enhanced Learning
%B EC-TEL'2009
%2 Nice
%2 France
%8 2009-09-29
%B Learning in the Synergy of Multiple Disciplines
%E Ulrike Cress, Vania Dimitrova, Marcus Specht
%I Springer
%Z ISBN 978-3-642-04635-3, LNCS 5794,
%8 2009-09-29
%P 196-210