Abstract
Explanatory visualization is a promising approach that has been used in many tutoring systems. This paper presents an attempt to assess the value of adaptation in the context of explanatory visualization. It shows that a system employing a user model and tracking users' progress gives students an opportunity to interact with larger amount of material in the same amount of time. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Loboda, T. D., & Brusilovsky, P. (2008). Adaptation in the context of explanatory visualization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5192 LNCS, pp. 250–261). https://doi.org/10.1007/978-3-540-87605-2_28
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