Modeling learner variability in CALL

Abstract:

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).

Keywords: computer-assisted language learning; learner variability; learner language; learner modeling

Document Type: Research article

DOI: 10.1080/09588220802343421

Affiliations: 1: Linguistics Department, Simon Fraser University, Burnaby, Canada