Citation
Feng, M., Heffernan, N.T., Koedinger, K. (2010). Using Data Mining Findings to Aid Searching for Better Cognitive Models. In: Aleven, V., Kay, J., Mostow, J. (eds) Intelligent Tutoring Systems. ITS 2010. Lecture Notes in Computer Science, vol 6095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13437-1_55
Abstract
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.
Keywords: Data mining, cognitive model, learning factor analysis
