Developing a Bayes-net based student model for an External Representation Selection Tutor

Abstract. 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 query types. Keywords. Student modeling, External representations, Bayesian networks

• Type: Conference
• Year: 2005
• Where: AIED
• Authors: Beate Grawemeyer, Richard Cox
• Keywords: AIED 2005, Artificial Intelligence, Bayesian Networks, Database Query, External Representations