Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
An intelligent tutoring system for deaf learners of written English
Assets '00 Proceedings of the fourth international ACM conference on Assistive technologies
Supporting Intelligent Tutoring in CALL by Modeling the User's Grammar
Proceedings of the Thirteenth International Florida Artificial Intelligence Research Society Conference
Recognizing syntactic errors in the writing of second language learners
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Conceptualizing Student Models for ICALL
UM '07 Proceedings of the 11th international conference on User Modeling
Computer-assisted item generation for listening cloze tests and dictation practice in english
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
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In this paper, we present a methodology for the development of a user model for CALL which captures various levels of language acquisition using individualized overlays supported with stereotypes. Our current focus is the empirical analysis of the order of written English grammatical structure acquisition in our learner population used to develop stereotype layers in our model.