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

This paper presents a model for representing the proficiency of users in a CALL system by recording their performance on specific 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.