Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Learning factors analysis – a general method for cognitive model evaluation and improvement
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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One key component of creating an intelligent tutoring system is forming a model that monitors student behavior Researchers in machine learning area have been using automatic/semi-automatic techniques to search for cognitive models One of the semi-automatic approaches is learning factor analysis, which involves human making hypothesis and identifying difficulty factors in the related items In this paper, we propose a hybrid approach in which we leverage findings from our previous educational data mining work to aid the search for a better cognitive model and thus, improve the efficiency of LFA Preliminary results suggest that our approach can lead to significantly better fitted cognitive models fast.