Abstract
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.
This work is supported by the Spanish Ministry of Science and Education, TIN2004-03140. We thank teachers of Inf. and Data Structures from the Dep.of Computer Science (UAM), as well as Prof. Manuel de Juan for his valuable help regarding the selection of the tests used.
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Sánchez Hórreo, V., Carro, R.M. (2007). Studying the Impact of Personality and Group Formation on Learner Performance. In: Haake, J.M., Ochoa, S.F., Cechich, A. (eds) Groupware: Design, Implementation, and Use. CRIWG 2007. Lecture Notes in Computer Science, vol 4715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74812-0_22
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DOI: https://doi.org/10.1007/978-3-540-74812-0_22
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