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Providing Quantitative Data with AI Mobile COLT to Support the Reflection Process in Language Teaching and Pre-Service Teacher Training: A Discussion

Authors :
Ishizuka, Hiroki
Pellerin, Martine
Source :
Research-publishing.net. 2020.
Publication Year :
2020

Abstract

Mobile COLT is a portable platform for analysis of activities in the second language classroom, and is based on the well-known Communicative Orientation of Language Teaching (COLT) scheme (Spada & Fröhlich, 1995). It has been developed to facilitate real-time class analysis using a Windows tablet. This paper first describes the COLT analysis scheme, and expounds on the functions of Mobile COLT, its application in classroom practices, and the development of the Artificial Intelligence (AI) version (AI Mobile COLT). It also briefly reports on two studies carried out in Japan to examine how the use of Mobile COLT can further promote language teaching development. Then, the paper briefly describes a collaborative project initiated by the authors to explore how the AI Mobile COLT system can be combined with an ePortfolio platform in Moodle to provide quantitative data built on an evidence-based framework. [For the complete volume, "CALL for Widening Participation: Short Papers from EUROCALL 2020 (28th, Online, August 20-21, 2020)," see ED610330.]

Details

Language :
English
Database :
ERIC
Journal :
Research-publishing.net
Publication Type :
Conference
Accession number :
ED611061
Document Type :
Speeches/Meeting Papers<br />Reports - Research