Automatic Detection of Concepts from Problem Solving Times

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Authors

PELÁNEK Radek BOROŠ Petr NIŽNAN Juraj ŘIHÁK Jiří

Year of publication 2013
Type Article in Proceedings
Conference Artificial Intelligence in Education
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1007/978-3-642-39112-5_67
Field Informatics
Keywords problem solving; concepts; student modeling
Description Intelligent tutoring systems need to know a mapping between particular problems and general domain concepts. Such mapping can be constructed manually by an expert, but that is time consuming and error prone. Our aim is to detect concepts automatically from problem solving times. We propose and evaluate two approaches: a model of problem solving times with multidimensional skill and an application of spectral clustering. The results show that it is feasible to construct a problem-concept mapping from solely the problem solving times and that the results of the analysis can bring an interesting insight.
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