Abstract
In this paper we propose ranking help functions in an intelligent tutoring system with respect to their usefulness. A help function is regarded as useful to a student if the student has succeeded to solve a problem after using it. Methods from the theory of partial orderings are further applied facilitating an automated process of suggesting individualised advises on how to proceed in order to solve a particular problem. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Encheva, S., & Tumin, S. (2010). Partial orderings for ranking help functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5991 LNAI, pp. 176–184). https://doi.org/10.1007/978-3-642-12101-2_19
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