A genetic algorithm approach for group formation in collaborative learning considering multiple student characteristics
- 1 January 2012
- journal article
- Published by Elsevier BV in Computers & Education
- Vol. 58 (1), 560-569
- https://doi.org/10.1016/j.compedu.2011.09.011
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- An automatic group composition system for composing collaborative learning groups using enhanced particle swarm optimizationComputers & Education, 2010
- Social effects of collaborative learning in primary schoolsLearning and Instruction, 2010
- The influence of students and teachers characteristics on the efficacy of face-to-face and computer supported collaborative learningComputers & Education, 2008
- Developing professional skills and social capital through computer supported collaborative learning in university contextsInternational Journal of Human-Computer Studies, 2007
- An analysis of peer interaction patterns as discoursed by on-line small group problem-solving activityComputers & Education, 2006
- Team-skills training enhances collaborative learningLearning and Instruction, 2006
- The nature of the discourse in web-based Collaborative Learning Environments: Case studies from four different countriesComputers & Education, 2005
- Flowshop-scheduling problems with makespan criterion: a reviewInternational Journal of Production Research, 2005
- Computer supported collaborative learning using wirelessly interconnected handheld computersComputers & Education, 2004
- Assigning Students in Group Work Projects. Can We Do Better than Random?Innovations in Education and Training International, 2000