Abstract
Collaborative learning is a process in which two or more individuals interact in order to learn something. The success of the learning process depends on the way in which the individuals are engaged in a community. Within the community, individuals are grouped into small clusters according to their homogeneous properties and the diversity within the group. In this work we focus on the formation of groups of individuals. More specifically, we apply genetic algorithms in the formation process in order to deal with the high level of complexity. We developed a prototype to evaluate the approach and the results are discussed.
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References
Ariza A, Oliva S (2000) Las nuevas tecnologías de la información y la comunicación y una propuesta para el trabajo colaborativo. V Congreso Iberoamericano de Informática Educativa, Chile
Bahargam S, Erdos D, Bestavros A, Terzi E (2015) Personalized education; solving a group formation and scheduling problem for educational content. In: The 8th international conference on educational data mining, Madrid
Belbin M (2010) Management teams: why they succeed or fail, 3rd edn. Heinemann, Butterworth
Calzadilla M (2002) Aprendizaje colaborativo y tecnologías de la información y la comunicación. Revista Iberoamericana de Educación
Dillenbourg P (1999) Collaborative learning: cognitive and computational approaches. Elsevier Science & Technology Books, Advances in learning and instruction series, 2nd edn. Emerald Group Publishing Limited
Floreano D, Mattiussi C (2008) Bio-inspired artificial intelligence. Theories, methods, and technologies. The MIT Press, Cambridge
Gardner H (2011) Frames of mind: the theory of multiple intelligences, 3rd edn. Basic Books, New York
Honey P, Mumford A (1982) Manual of learning styles. P. Honey, London
Jozan M Mahdi Barati, Taghiyareh Fattaneh, Faili Hesham (2012) An inversion-based genetic algorithm for grouping of students. In: The 7th international conference on virtual learning, ICVL 2012, Brasov, Romania
Konert J, Burlak D, Steinmetz R (2014) The Group Formation Problem: An algorithmic Approach to Learning Group Formation. In: Rensing, Christoph et. al. (ed), Proceedings of the 9th European Conference on Technology Enhanced Learning (EC-TEL), no. 9, p 221-234, Springer International Switzerland
Korf R, Richard E (1998) A complete anytime algorithm for number partitioning. Artif Intell 106(2):181–203
Lewin K, Lippit R, White RK (1939) Patterns of aggressive behavior in experimentally created social climates. J Soc Psychol 10:271–301
Lucero M (2003) Entre el trabajo colaborativo y el aprendizaje colaborativo. Revista Iberoamericana de Educación,
Michalewicz Z, Fogel DB (2000) How to solve it: modern heuristics. Springer, Berlin
Rathus S (1973) A 30-item schedule for assessing assertive behavior. Behav Ther 4(3):398–406
Yeoh HK, Nor Mohamad MI (2011) An algorithm to form balanced and diverse groups of students. Comput Appl Eng Educ 19:582–590
Ani Zhamri Che, Yasin Azman, Husin Mohd Zabidin, Hamid Zauridah Abdul (2010) A method for group formation using genetic algorithm. Int J Comput Sci Eng 02(09):3060–3064
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This work is partially supported by the Chilean National Fund for Scientific and Technological Development, FONDECYT, through project number 1140457.
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Pinninghoff J., M.A., Contreras A., R., Salcedo L., P. et al. Genetic algorithms as a tool for structuring collaborative groups. Nat Comput 16, 231–239 (2017). https://doi.org/10.1007/s11047-016-9574-1
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DOI: https://doi.org/10.1007/s11047-016-9574-1