Developing a Bayes-net based student model for an External Representation Selection Tutor
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Computer Speech and Language
Graphical data displays and database queries: helping users select the right display for the task
SG'05 Proceedings of the 5th international conference on Smart Graphics
Evaluation of ERST – an external representation selection tutor
Diagrams'06 Proceedings of the 4th international conference on Diagrammatic Representation and Inference
Adaptive visualization for exploratory information retrieval
Information Processing and Management: an International Journal
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This paper describes the process by which we constructed a user model for ERST – an External Representation Selection Tutor – which recommends external representations (ERs) for particular database query task types based upon individual preferences, in order to enhance ER reasoning performance. The user model is based on experimental studies which examined the effect of background knowledge of ERs upon performance and preferences over different types of tasks.