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ERIC Number: EJ812466
Record Type: Journal
Publication Date: 2008-Oct
Pages: 17
Abstractor: As Provided
Reference Count: 43
ISBN: N/A
ISSN: ISSN-0958-8221
Modeling Learner Variability in CALL
Heift, Trude
Computer Assisted Language Learning, v21 n4 p305-321 Oct 2008
This article describes challenges and benefits of modeling learner variability in Computer-Assisted Language Learning. We discuss the learner model of "E-Tutor," a learner model that addresses learner variability by focusing on certain aspects and/or features of the learner's interlanguage. Moreover, we introduce the concept of phrase descriptors, the means by which the student model of "E-Tutor" captures very detailed linguistic information on the learner's performance and progress. Finally, we provide longitudinal data that emphasize the importance of monitoring fine-grained information and underline the dynamism and non-linearity of the SLA process, as also described by Dynamic Systems Theory (DST). (Contains 7 figures, 2 tables and 12 notes.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A