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1	Corpus d'apprentissage Infral ; LETEC (Learning and Teaching Corpus) Infral
	Abendroth-Timmer , Dagmar; Bechtel , Mark; Chanier , Thierry. - : Mulce (MULtimodal Corpus Exchange), 2010. : Universite Blaise Pascal, 2010. : Clermont-Ferrand:France, 2010. : URL:http://mulce.org, 2010
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2	Corpus d'apprentissage Ecofralin ; LETEC (Learning and Teaching Corpus) Ecofralin
	Chanier , Thierry; Ciekanski , Maud; Bacca , Julia; López , Maria Teresa. - : Mulce (MULtimodal Corpus Exchange), 2010. : Universite Blaise Pascal, 2010. : Clermont-Ferrand:France, 2010. : URL:http://mulce.org, 2010
	Abstract: This is the Learning and Teaching Corpus of the online educational experiment ECOFRALIN (Echanges COlombie FRAnce en Ligne INterculturels project) conducted by the Universidad Libre Bogota (Bogota, Colombia) (ULB) and Université de Franche-Comté (Besançon, France) (UFC) (2008). The corpus includes the pedagogical scenario, described in several formats, the research protocol, participant's online interactions and productions (structured in XML), list of participants, licences of use. ; Please note that some analysis of the pre- and post- questionnaires and of the blogs are done for this corpus. They can be found in the file : /mce-ecofralin-letec-all/content/Analysis/ . ; We define a Learning & Teaching Corpus as a structured entity containing all the elements resulting from a communicative on-line learning situation, whose context is described by an educational scenario and a research protocol. The core data collection includes all the interaction data, the productions of the course participants, and the tracks, resulting from the participants’ actions in the learning environment and stored according to the research protocol. In order to be able to be shared, and to respect participant privacy, these data should be anonymised and a license for its use be provided in the corpus. A derived analysis can be linked to a given set of data under consideration, used or computerized for this analysis. An analysis consisting in data annotation/transcription/transformation, accurately connected to its original data, can be merged with the corpus itself, in order for other researchers to compare their own results on a concurrent analysis or to build their complementary analysis upon these results. The definition of a Learning & Teaching Corpus as a whole entity comes from the need of explicit links, between interaction data, context and analyses. This explicit context is crucial for an external researcher to interpret the data and to perform its own analyses. This definition seeks to capture the context of the data stemming from the course in order to allow a researcher to look for, understand and connect this information whether or not he/she was involved in the original course. More details about a LETEC corpus an ist structure at : http://lrl-diffusion.univ-bpclermont.fr/mulce/metadata/mce_LETECorpus-en.pdf ; This corpus contains a total of 945 acts, of which 922 are blog acts, 16 are audio acts and 7 are mail acts. ; Discourse type: dialogue ; Discourse type: narrative
	Keyword: applied linguistics; Computer-assisted instruction; Data processing; discourse analysis; Education; French language; Language and languages; Study and teaching; text and corpus linguistics
	URL: http://mulce.univ-bpclermont.fr:8080/PlateFormeMulce/VIEW/PUBLIC/03/VMeta.do?adr=Ecofralin%2FCorpus_objets%2Fmce-ecofralin-letec-all
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