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.

Full text not available from this repository.

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 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
📧 Request an update