Empirical Derivation of a Sequence of User Stereotypes for Language Learning
Document Type
Article - Merrimack Access Only
Publication Title
User Modeling and User-Adapted Interaction
Publication Date
2004
Abstract/ Summary
The work described here pertains to ICICLE,an intelligent tutoring system for which we have designed a user model to supply data for intelligent natural language parse disambiguation. This model attempts to capture the user’s mastery of various grammatical units and thus can be used to predict the grammar rules he or she is most likely using when producing language. Because ICICLE’s user modeling component must infer the user’s language mastery on the basis of limited writing samples,it makes use of an inferencing mechanism that will require knowledge of stereotypic acquisition sequences in the user population.We discuss in this paper the methodology of how we have applied an empirical investigation into user performance in order to derive the sequence of stereotypes that forms the basis of our modeling component’s reasoning capabilities.
Repository Citation
Michaud, L. N.,
&
McCoy, K. F.
(2004). Empirical Derivation of a Sequence of User Stereotypes for Language Learning. User Modeling and User-Adapted Interaction, 14(4), 317-350.
Available at: https://scholarworks.merrimack.edu/cs_facpub/11