CALICO Journal, Vol 18, No 1 (2001)

A Student Model of Technical Japanese Reading Proficiency for an Intelligent Tutoring System

Yun-Sun Kang, Anthony A. Maciejewski
Issued Date: 7 Aug 2014

Abstract


This article presents the development of a student model that is used in a Japanese language intelligent tutoring system to assess pupils' proficiency at reading technical Japanese. A computer-assisted knowledge acquisition system is designed to generate a domain knowledge base for a Japanese language intelligent tutoring system. The domain knowledge represents a model of the expertise that a native English speaker must acquire in order to be proficient at reading technical Japanese. The algorithms described here are able to generate a set of grammatical transformation rules that clarify changes of syntactic structures between a Japanese text and its corresponding English translation, use them to assess a student's proficiency, and then appropriately individualize the student's instructions.

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DOI: 10.1558/cj.v18i1.9-40

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