Comunicació presentada a: ICALT2017, celebrat del 3 al 7 de juliol a Timisoara, Romania.

Well-structured collaborative learning groups scripted based on Collaborative Learning Flow Patterns (CLFPs) often result in successful collaborative learning outcomes. Formulation of such learner groups based on instructor defined criteria promises potentially effective performance of participating students. However, forming student groups manually based on multiple criteria often fails due to its complexity and the time limitations of practitioners. Hence, an intelligent assistance which supports adaptive collaboration scripting based on instructor defined criteria, while adhering to CLFPs is presented. Constraint Optimization techniques have been used for learner group formation and preliminary tests revealed that the proposed approach could be utilized when formulating student groups while satisfying team formation criteria.

This research is funded by Spanish Ministry of Economy and Competitiveness (TIN2014-53199-C3-3-R, MDM-2015- 0502) and RecerCaixa (COT Project). Prof. H. Spoelstra from Open University of the Netherlands, Dr. C. Burt from The University of Melbourne and Prof. H. Ramalhinho from Universitat Pompeu Fabra are gratefully acknowledged.