Abstract
Collaborative learning is a process in which two or more individuals interact in order to learn or attempt to learn something. The success of the process depends heavily on the way in which the individuals are engaged in a community, i.e. where the process takes place. Individuals in the community are grouped into small clusters that i) posses homogeneous properties and ii) emphasize the diversity inside the group, allowing flourishing of diverse points of view. 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.: Las nuevas tecnologías de la información y la comunicación y una propuesta para el trabajo colaborativo. V Congreso Iberoamericano de Informática Educativa, Chile (2000)
Belbin, M.: Management Teams: why they succed or fail, 3rd edn. Rouledge (2010)
Calzadilla, M.: Aprendizaje colaborativo y tecnologías de la información y la comunicación. Revista Iberoamericana de Educación (2002)
Floreano, D., Mattiussi, C.: Bio-Inspired Artificial Intelligence. Theories, Methods, and Technologies. The MIT Press (2008)
Gardner, H.: Frames of Mind: The Theory of Multiple Intelligences, 3rd edn. Basic Books (2011)
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley (1989)
Honey, P., Mumford, A.: Manual of Learning Styles. P. Honey, London (1982)
Mahdi Barati Jozan, M., Taghiyareh, F., Faili, H.:An Inversion-Based Genetic Algorithm for Grouping of Students. In: The 7th International Conference on Virtual Learning, ICVL 2012, Brasov, Romania (2012)
Lewin, K., Lippit, R., White, R.K.: Patterns of aggressive behavior in experimentally created social climates. Journal of Social Psychology 10, 271–301 (1939)
Lucero, M.: Entre el trabajo colaborativo y el aprendizaje colaborativo. Revista Iberoamericana de Educación (2003)
Michalewicz, Z., Fogel, D.B.: How to Solve It: Modern Heuristics. Springer (2000)
Rathus, S.: A 30-item schedule for assessing assertive behavior. Behavior Therapy 4(3), 398–406 (1973)
Yeoh, H.K., Mohamad Nor, M.I.: An Algorithm to Form Balanced and Diverse Groups of Students. Computer Applications in Engineering Education 19, 582–590 (2011)
Ani, Z.C., Yasin, A., Husin, M.Z., Hamid, Z.A.: A Method for Group Formation Using Genetic Algorithm. International Journal on Computer Science and Engineering 02(09), 3060–3064 (2010)
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Pinninghoff, M.A., Ramírez, M., Contreras Arriagada, R., Salcedo Lagos, P. (2015). Collaborative Group Formation Using Genetic Algorithms. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Bioinspired Computation in Artificial Systems. IWINAC 2015. Lecture Notes in Computer Science(), vol 9108. Springer, Cham. https://doi.org/10.1007/978-3-319-18833-1_35
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DOI: https://doi.org/10.1007/978-3-319-18833-1_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18832-4
Online ISBN: 978-3-319-18833-1
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