Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
What Do Academic Users Really Want from an Adaptive Learning System?
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
The evaluation of adaptive and personalised information retrieval systems: a review
International Journal of Knowledge and Web Intelligence
Off-line evaluation of recommendation functions
UM'05 Proceedings of the 10th international conference on User Modeling
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In this paper we present the continuous empirical evaluation approach, whose goal is to improve the quality of adaptive web-based courses. The adaptive-course description, along with the users' features and interactions with the courses, are analyzed in order to detect concrete possible fails or lacks and to propose specific solutions and actions to be performed to improve these courses. The way it is used to evaluate existing adaptive courses is also presented.