Team formation methods for increasing interaction during in-class group work
ITiCSE '05 Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
The impact of learning styles on student grouping for collaborative learning: a case study
User Modeling and User-Adapted Interaction
Coalescing individual and collaborative learning to model user linguistic competences
User Modeling and User-Adapted Interaction
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AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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Computers & Education
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Computers & Education
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CRIWG'10 Proceedings of the 16th international conference on Collaboration and technology
Expert Systems with Applications: An International Journal
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This paper presents a study being carried out at the Universidad Autónoma de Madrid to ascertain the influence of the way students are grouped to do collaborative work (regarding intelligence and personality parameters) on the results they get. Data about student's personality are analysed along with information about group composition and student performance. The results of this analysis are expected to throw light about the impact of personal traits and group formation on learning. This information can be incorporated in collaborative systems as criteria for group formation, with the aim of favouring CSCL situations in which students are prone to get better results.