ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Visualising student tracking data to support instructors in web-based distance education
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Interacting with Inspectable Bayesian Student Models
International Journal of Artificial Intelligence in Education
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We conducted a within-subjects study of the effect on student learning of using open student model in the form of taxonomic concept map. We found a significant improvement in learning on two questions related to the topic of the tutor, and no pre-post improvement on questions unrelated to the topic of the tutor. These preliminary results suggest that students may learn concepts indirectly by viewing the open student model presented as taxonomic concept map after each problem.