Repository logo

A student model of technical Japanese reading proficiency for an intelligent tutoring system


circa 2000


Kang, Yun-Sun, author
Maciejewski, Anthony A., author
CALICO, publisher

Journal Title

Journal ISSN

Volume Title


This paper presents the development of a student model that is used in a Japanese language intelligent tutoring system to assess a pupil's 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 the student's proficiency, and then appropriately individualize the student's instructions.


Rights Access


artificial intelligence
natural language processing
intelligent tutoring systems
technical literature


Associated Publications