Supporting Intelligent Tutoring in CALL by Modeling the User's Grammar

This paper presents a model for representing the pro ciency of users in a CALL system by recording their performance on speci c grammatical features. The model will be used both to select accurate interpretations of user-written sentences and to focus system-delivered instruction on topics at the frontier of the learner's competence.

• Type: Conference
• Year: 2000
• Where: FLAIRS
• Authors: Lisa N. Michaud, Kathleen F. McCoy
• Keywords: Accurate Interpretations, Artificial Intelligence, FLAIRS 2000, Grammatical Features, Learner's Competence