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Learning Issues for Intelligent Tutoring Systems
The ant colony optimization meta-heuristic
New ideas in optimization
The Intelligent Helpdesk: Supporting Peer-Help in a University Course
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
How Can We Form Effective Collaborative Learning Groups?
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Enhancing Tutoring Intelligence Using Knowledge Discovery Techniques
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
CAFE: Collaboration Aimed at Finding Experts
International Journal of Knowledge and Web Intelligence
Learning task models in ill-defined domain using an hybrid knowledge discovery framework
Knowledge-Based Systems
Forming reasonably optimal groups: (FROG)
Proceedings of the 16th ACM international conference on Supporting group work
Group formation for collaboration in exploratory learning using group technology techniques
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Improving Group Selection and Assessment in an Asynchronous Collaborative Writing Application
International Journal of Artificial Intelligence in Education
User behaviour-driven group formation through case-based reasoning and clustering
Expert Systems with Applications: An International Journal
Intelligent Decision Technologies - Special issue on Multimedia/Multimodal Human-Computer Interaction in Knowledge-based Environments
Evaluating automatic group formation mechanisms to promote collaborative learning - a case study
International Journal of Learning Technology
ADNTIIC'11 Proceedings of the Second international conference on Advances in New Technologies, Interactive Interfaces and Communicability
Improving e-learning communities through optimal composition of multidisciplinary learning groups
Computers in Human Behavior
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Heterogeneity in learning groups is said to improve academic performance. But only few collaborative online systems consider the formation of heterogeneous groups. In this paper we propose a mathematical approach to form heterogeneous groups based on personality traits and the performance of students. We also present a tool that implements this mathematical approach, using an Ant Colony Optimization algorithm in order to maximize the heterogeneity of formed groups. Experiments show that the algorithm delivers stable solutions which are close to the optimum for different datasets of 100 students. An experiment with 512 students was also performed demonstrating the scalability of the algorithm.