From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
High-Level Student Modeling with Machine Learning
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
A Personalized Courseware Recommendation System Based on Fuzzy Item Response Theory
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
The classroom sentinel: supporting data-driven decision-making in the classroom
WWW '05 Proceedings of the 14th international conference on World Wide Web
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
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Analysing users' access logs in Moodle to improve e learning
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks
UM '07 Proceedings of the 11th international conference on User Modeling
Temporal Data Mining for Educational Applications
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Planning of educational training courses by data mining: Using China Motor Corporation as an example
Expert Systems with Applications: An International Journal
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Towards fuzzy domain ontology based concept map generation for E-Learning
ICWL'07 Proceedings of the 6th international conference on Advances in web based learning
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In today's open and dynamic learning environment, a significant percentage of students have a preference for flexible learning systems whereby they can reconcile their academic pursuits with their job responsibilities and family obligations. Non face-to-face educational models, like e-learning (electronic learning), evolved in order to offer such flexibility. E-learning systems have major strengths but also pose major challenges to the educational community. One such challenge is the large spatial and temporal gap between the teacher and student, which is an obstacle to student follow-up by teachers. The information generated by virtual learning systems sometimes overwhelms instructors who are unable to process the data without the support of special-purpose techniques and tools that are useful for analysing large dataflows.