The proposal of the adaptive form of teaching stems from the analysis of tested student characteristics. The testing involved modified questionnaires localized to Czech conditions of teaching (LSI, ISL, ...) in context with e-learning teaching. Based on tipped, most frequently occurred groups of student characteristics, the optimum procedures for…

In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…