Modeling Students' Learning and Variability of Performance in Problem Solving

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Authors

PELÁNEK Radek JARUŠEK Petr KLUSÁČEK Matěj

Year of publication 2013
Type Article in Proceedings
Conference Educational Data Mining
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords problem solving; student modeling; learning
Description Given data about problem solving times, how much can we automatically learn about students' and problems' characteristics? To address this question we extend a previously proposed model of problem solving times to include variability of students' performance and students' learning during sequence of problem solving tasks. We evaluate proposed models over simulated data and data from a ``Problem Solving Tutor''. The results show that although the models do not lead to substantially improved predictions, the learnt parameter values are meaningful and capture useful information about students and problems.
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