Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
An experimental comparison of model-based clustering methods
Machine Learning
Evaluating the Effects of Open Student Models on Learning
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Adaptive interfaces and agents
The human-computer interaction handbook
International Journal of Artificial Intelligence in Education
A data analysis model based on control charts to monitor online learning processes
International Journal of Business Intelligence and Data Mining
Expert Systems with Applications: An International Journal
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Content-free collaborative learning modeling using data mining
User Modeling and User-Adapted Interaction
Supporting teachers in adaptive educational systems through predictive models: A proof of concept
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Collaborative student modeling in adaptive learning environments allows the learners to inspect and modify their own student models. It is often considered as a collaboration between students and the system to promote learners' reflection and to collaboratively assess the course. When adaptive learning environments are used in the classroom, teachers act as a guide through the learning process. Thus, they need to monitor students' interactions in order to understand and evaluate their activities. Although, the knowledge gained through this monitorization can be extremely useful to student modeling, collaboration between teachers and the system to achieve this goal has not been considered in the literature. In this paper we present a framework to support teachers in this task. In order to prove the usefulness of this framework we have implemented and evaluated it in an adaptive web-based educational system called PDinamet.