User Modeling and User-Adapted Interaction
A Two-Phase Fuzzy Mining and Learning Algorithm for Adaptive Learning Environment
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Architecture of Systems Problem Solving
Architecture of Systems Problem Solving
Building a Recommender Agent for e-Learning Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
Towards Evaluating Learners' Behaviour in a Web-Based Distance Learning Environment
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
User Modeling and User-Adapted Interaction
Identification of fuzzy models to predict students performance in an e-learning environment
WBE'06 Proceedings of the 5th IASTED international conference on Web-based education
Using genetic algorithms for data mining optimization in an educational web-based system
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
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E-learning offers a new context for education where large amounts of information describing the continuum of the teaching-learning interactions are endlessly generated and ubiquitously available. But raw information by itself may be of no help to any of the e-learning actors. The use of Data Mining methods to extract knowledge from this information can, therefore, be an adequate approach to follow in order to use the obtained knowledge to fit the educational proposal to the students' needs and requirements. In this brief study we use an extension of Fuzzy Inductive Reasoning methodology to extract comprehensible, actionable and reasonable set of rules describing the students' learning behavior. The obtained rules can be used to improve the system understanding and to provide valuable information to tutors about the course performance. The extraction rules model presented in this research is applied to a real virtual campus graduate course of the Center of Studies in Communication and Educational Technologies (CECTE, as Spanish acronym).