There is variation in the university student experience of learning. Prior research has shown that factors that shape this include student characteristics, the learning context, student perceptions of that context and approaches to learning and their learning outcomes. In blended contexts, there is a need to identify variables which can explain…

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).…

Used a new statistical procedure to examine consensual beliefs about situations common to universities. This approach aims at constructing a joint hierarchical or non-hierarchical classification of situational categories. Results indicate that a psychologically meaningful and methodologically satisfactory representation of the cognitive…