Designing the User Interface: Strategies for Effective Human-Computer Interaction
Designing the User Interface: Strategies for Effective Human-Computer Interaction
User Modeling and User-Adapted Interaction
High-Level Student Modeling with Machine Learning
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Performance Guarantees for Hierarchical Clustering
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Intelligent Student Profiling with Fuzzy Models
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 3 - Volume 3
Building a Recommender Agent for e-Learning Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
Evaluating web sites: exploiting user's expectations
International Journal of Human-Computer Studies - Incorporating knowledge acquisition
Authoring of learning styles in adaptive hypermedia: problems and solutions
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Naive Bayes models for probability estimation
ICML '05 Proceedings of the 22nd international conference on Machine learning
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
Evaluating Bayesian networks' precision for detecting students' learning styles
Computers & Education
Improving accessibility with user-tailored interfaces
Applied Intelligence
User Modeling and User-Adapted Interaction
Inferring learning and attitudes from a Bayesian Network of log file data
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Student Groups Modeling by Integrating Cluster Representation and Association Rules Mining
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Building group recommendations in e-learning systems
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
A novel resource recommendation system based on connecting to similar e-learners
ICWL'05 Proceedings of the 4th international conference on Advances in Web-Based Learning
Comparison of machine learning methods for intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Personalized links recommendation based on data mining in adaptive educational hypermedia systems
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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Building groups of students of similar features enables to suggest learning materials according to their member needs. The paper presents an agent-based recommender system, which, for each new learner, suggests a student group of similar profiles and consequently indicates suitable learning resources. It is assumed that learners can be characterized by cognitive styles, usability preferences or historical behavior, represented by nominal values. Building recommendations by using a Naïve Bayes algorithm is considered. The performance of the technique is validated on the basis of data of learners, who are described by cognitive traits such as dominant learning style dimensions or by usability preferences. Tests are done for real data of different groups of similar students as well as of individual learners.