A scientific methodology for researching CALL interaction data: Multimodal LEarning and TEaching Corpora
In: edutice-01332625;; (2016)
Online
Buch
Zugriff:
International audience ; This chapter gives an overview of one possible staged methodology for structuring LCI data by presenting a new scientific object, LEarning and TEaching Corpora (LETEC). Firstly, the chapter clarifies the notion of corpora, used in so many different ways in language studies, and underlines how corpora differ from raw language data. Secondly, using examples taken from actual online learning situations, the chapter illustrates the methodology that is used to collect, transform and organize data from online learning situations in order to make them sharable through open-access repositories. The ethics and rights for releasing a corpus as OpenData are discussed. Thirdly, the authors suggest how the transcription of interactions may become more systematic, and what benefits may be expected from analysis tools, before opening the CALL research perspective applied to LCI towards its applications to teacher-training in Computer-Mediated Communication (CMC), and the common interests the CALL field shares with researchers in the field of Corpus Linguistics working on CMC.
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A scientific methodology for researching CALL interaction data: Multimodal LEarning and TEaching Corpora
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Autor/in / Beteiligte Person: | Chanier, Thierry ; Wigham, Ciara ; Laboratoire de Recherche sur le Langage (LRL) ; Université Blaise Pascal - Clermont-Ferrand 2 (UBP) ; Interactions, Corpus, Apprentissages, Représentations (ICAR) ; École normale supérieure de Lyon (ENS de Lyon)-Université Lumière - Lyon 2 (UL2)-INRP-Ecole Normale Supérieure Lettres et Sciences Humaines (ENS LSH)-Centre National de la Recherche Scientifique (CNRS) ; Caws ; Catherine ; Hamel, and ; Marie-Josée ; Les auteurs remercient le LABEX ASLAN (ANR-10-LABX-0081) de l'Université de Lyon pour son soutien financier dans le cadre du programme "Investissements d'Avenir" (ANR-11-IDEX-0007) de l'Etat Français géré par l'Agence Nationale de la Recherche (ANR). |
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Quelle: | edutice-01332625;; (2016) |
Veröffentlichung: | HAL CCSD ; John Benjamins, 2016 |
Medientyp: | Buch |
DOI: | 10.1075/lsse.2.10cha |
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