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1
Corpus distinguable Copeas T8 s102 lobby ; Distinguishable corpus Copeas T8 s102 lobby
Ciekanski Maud; Chanier Thierry. - : Mulce (MULtimodal Corpus Exchange), 2009. : Universite Blaise Pascal, Clermont-Ferrand;France, 2009. : http://mulce.org, 2009
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2
Corpus distinguable Copeas T8 s101 ecriture multimodale ; Distinguished corpus Copeas T8 s101 multimodal writing
Chanier Thierry; Vetter Anna. - : Mulce (MULtimodal Corpus Exchange), 2009. : Universite Blaise Pascal, 2009. : Clermont-Ferrand:France, 2009. : URL:http://mulce.org, 2009
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3
Measuring oral participation in audio and textchat with heterogeneous learners
Vetter, A.; Chanier, T.. - : Mulce (MULtimodal Corpus Exchange); Universite Blaise Pascal, 2009. : Clermont-Ferrand :France, 2009. : URL:http://mulce.org, 2009
Abstract: This corpus has been built around data extracted from the global Learning & Teaching Corpus Copéas. It provides the analysis processed on these data and referred to the publications made around this work. This study is related to false-beginners in an ESP course, presenting a high degree of heterogeneity in their proficiency levels. We use two approaches. One is quantitative and involve learners' participation in audio and textchat. The other is qualitative and relates to the complexity of professional discourse. First, we provide a method that accurately measures oral participation in the two modes. In this framework, we report that heterogeneous linguistic levels do not constrain learners' oral participation, outlining the equalizing role played in this instance by the textchat. Moreover, this type of environment supports oral production by false-beginners who have over a period of years become unaccustomed to learning and speaking in a foreign language, and leads them to regain self-confidence. The qualitative part of our study shows that false-beginners can cope with professional conversations at different levels of complexity. ; During the last decade, most research studies analysed online synchronous interactions in written mode (textchat), highlighting the benefits of chatting for the development of learners' oral proficiency. The environment used in our experiment is multimodal and based on a synchronous audio conference. Analyzing interactions in such an environment is rather new in CALL. ; Discourse type: dialogue ; Discourse type: narrative
Keyword: applied linguistics; audio-graphic conferencing; Computer-assisted instruction; Data processing; discourse analysis; Education; English language; ESP; heterogeneity; Language and languages; multimodality; participation; quality of professional discourse; Study and teaching; text and corpus linguistics
URL: http://mulce.univ-bpclermont.fr:8080/PlateFormeMulce/VIEW/PUBLIC/03/VMeta.do?adr=Copeas%2FCorpus_objets%2Fmce-copeas-eurocall05
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Corpus distinguable Copeas T5 contexte ; Distinguishable corpus Copeas T5 context
Ciekanski Maud; Chanier Thierry. - : Mulce (MULtimodal Corpus Exchange), 2009. : Universite Blaise Pascal, 2009. : Clermont-Ferrand:France, 2009. : URL:http://mulce.org, 2009
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5
Corpus d'apprentissage Copéas ; LETEC (Learning and Teaching Corpus) Copéas
Chanier, Thierry; Reffay, Christophe; Betbeder, Marie-Laure. - : Mulce (MULtimodal Corpus Exchange), 2009. : Universite Blaise Pascal, 2009. : Clermont-Ferrand:France, 2009. : URL:http://mulce.org, 2009
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6
Corpus distinguable Copeas T8 s102 lobby ; Distinguished corpus Copeas T8 s102 lobby
Chanier Thierry; Vetter Anna; Ciekanski, Maud. - : Mulce (MULtimodal Corpus Exchange), 2009. : Universite Blaise Pascal, 2009. : Clermont-Ferrand:France, 2009. : URL:http://mulce.org, 2009
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7
Corpus distinguable Copeas T8 lobby s101 ; Distinguishable corpus Copeas T8 lobby s101
Ciekanski Maud; Chanier Thierry. - : Mulce (MULtimodal Corpus Exchange), 2009. : Universite Blaise Pascal, 2009. : Clermont-Ferrand:France, 2009. : URL:http://mulce.org, 2009
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