Student modeling and ab initio Language Learning  

Oleh:

HEIFT, TRUDE ; Schulze, Mathias

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: SYSTEM: An International Journal of Educational Technology and Applied Linguistics (Full Text) vol. 31 no. 4 (Dec. 2003), page 519-535.
Topik: Computer-assisted language learning; Student modeling in language learning; Web-ba sed language learning systems; German as a Second Language; Diagnostic adaptive language testing
Fulltext: Heift_T.pdf (296.76KB)

Isi artikel

This paper provides examples of student modeling techniques that have been employed in computer-assisted language learning (CALL) over the past decade. We further discuss two of our own systems and show how different types of CALL programs can, nonetheless, share similar conceptual designs of a student model. First, we describe the German Tutor, an Intelligent Language Tutoring System (ILTS) for German as a Second Language which contains a parser and a grammar that analyze student input. The student model is based on student subject matter performance and provides feedback and remedial exercises suited to learner expertise. Second, we provide an overview of Geroline, an online distance education course for ab initio German learners, and its student model. We show how a student model can support computerized adaptive language testing for diagnostic purposes in a Web-based language learning environment which does not rely on parsing technology. Here, student scores from libraries of sentence-based exercises are used as the raw input for the model.

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