A Bayesian student model for ERST - an External Representation Tutor

Grawemeyer, Beate and Cox, Richard (2005) A Bayesian student model for ERST - an External Representation Tutor. In: Proceedings of the 12th International Conference on Artificial Intelligence in Education (AIED05), Amsterdam.

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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 with values seeded from data derived from two 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.

Item Type: Conference or Workshop Item (Paper)
Schools and Departments: School of Engineering and Informatics > Informatics
Depositing User: Beate Grawemeyer
Date Deposited: 06 Feb 2012 20:06
Last Modified: 26 Mar 2012 15:17
URI: http://sro.sussex.ac.uk/id/eprint/24059
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