Developing a Bayes-net based student model for an External Representation Selection Tutor
نویسندگان
چکیده
This paper describes the process by which we are constructing an intelligent tutoring system (ERST) designed to improve learners’ external representation (ER) selection accuracy on a range of database query tasks. This paper describes how ERST’s student model is being constructed it is a Bayesian network seeded with data from experimental studies. The studies examined the effects of students’ background knowledge-of-external representations (KER) upon performance and their preferences for particular information display forms across a range of database
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