Abstract
One aim of intelligent tutoring systems is to tailor lessons to each individual student’s needs. To do this a tutoring system requires a model of the student’s knowledge. Cognitive modelling aims to produce a detailed explanation of the student’s progress. Feature Based Modelling forms a cognitive model of the student by creating aspects of problem descriptions and of students’ responses. This paper will discuss Feature Based Modelling and show the results of an evaluation carried out in the domain of elementary subtraction.
Cite
CITATION STYLE
Kuzmycz, M., & Webb, G. I. (1992). Evaluation of feature based modelling in subtraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 608 LNCS, pp. 269–276). Springer Verlag. https://doi.org/10.1007/3-540-55606-0_34
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