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

Authors:
Beate Grawemeyer;Richard Cox
Affiliations:
Representation & Cognition Group, Department of Informatics, University of Sussex, Falmer, Brighton BN1 9QH, UK;Representation & Cognition Group, Department of Informatics, University of Sussex, Falmer, Brighton BN1 9QH, UK
Venue:
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Year:
2005

Citing 4
Cited 0

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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.