Similarity-based grouping to support teachers on collaborative activities in exploratory learning environments

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Gutierrez-Santos, Sergio ; Mavrikis, M. ; Geraniou, E. ; Poulovassilis, Alexandra (2016)

This paper describes a computer-based tool that helps teachers group their students for collaborative activities in the classroom, the challenge being to organise groups of students based on their recent work so that their collaboration results in meaningful interactions. Students first work on an exploratory task individually, and then the computer suggests possible groupings of students to the teacher. The complexity of the tasks is such that teachers would require too long a time to create meaningful groups. The paper describes the design of the tool, the algorithms and metrics used for generating the groups, the evaluation of the tool, and the pedagogical context in which the tool was designed.
  • References (27)
    27 references, page 1 of 3

    [1] Alfonseca, E., Carro, R., Martin, E., Ortigosa, A., Paredes, P., 2006. The impact of learning styles on student grouping for collaborative learning: a case study. User Modeling and UserAdapted Interaction 16 (3-4), 377-401.

    [2] Blatchford, P., Kutnick, P., Baines, E., Galton, M., 2003. Toward a social pedagogy of classroom group work. International Journal of Educational Research 39 (1-2), 153-172.

    [3] Christodoulopoulos, C., 2007. A group formation tool in an e-learning context. In: 19th IEEE Int. Conf. on Tools with Artificial Intelligence. pp. 111-123.

    [4] Dillenbourg, P., 2002. Over-scripting CSCL: The risks of blending collaborative learning with instructional design. In: P.A.Kirschner (Ed.), Three worlds of CSCL. Can we support CSCL? pp. 61-91.

    [5] Dillenbourg, P., Fischer, F., 2007. Basics of computer-supported collaborative learning. In: Zeitschrift fur Berufs- und Wirtschaftspadagogik. Vol. 21. pp. 111-130.

    [6] Dragon, T., McLaren, B. M., Mavrikis, M., Geraniou, E., 2012. Scaffolding Collaborative Learning Opportunities: Integrating Microworld Use and Argumentation. In: Ardissono (Ed.), Advances in User Modeling: UMAP 2011 Workshops (pp. 18-30), Girona, Spain, July 11-15, 2011, Revised Selected Papers. Vol. 7138 of Lecture Notes in Computer Science. Girona, Spain, pp. 18-30.

    [7] Geraniou, G., Mavrikis, M., Hoyles, C., Noss, R., 2011. Students' justification strategies on equivalence of quasi-algebraic expressions. In: Ubuz, B. (Ed.), Proceedings of the 35th. Conference of the International Group for the Psychology of Mathematics Education. Vol. 2. pp. 393-400.

    [8] Graf, S., Bekele, R., 2006. Forming heterogeneous groups for intelligent collaborative learning systems with ant colony optimization. In: Intelligent Tutoring Systems. pp. 217-226.

    [9] Healy, L., Pozzi, S., Hoyles, C., 1995. Making sense of groups, computers and mathematics. Cognition and Instruction 13 (4), 505-523.

    [10] Inaba, A., Ikeda, M., Mizoguchi, R., Toyoda, J., 2000. Theoretical justification of opportunistic group formation with ontological engineering. In: Intelligent Tutoring Systems. pp. 282-291.

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