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Analyzing a Computational Infrastructure for Supporting the Design of Group Learning Scenarios

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Abstract

Collaborative learning (CL) processes are not always effective and inadequate design of CL scenarios is one of the main causes of its failure. Designing CL scenarios is a complex task, since it involves countless requirements and constraints that affect the learning process. A previous study showed that educators, in general, perform an inappropriate design of CL scenarios—failing to specify essential parameters and processes, mainly regarding the guidance of the learners’ actions and the evaluation of their learning. This indicates the need to provide educators with proper support and guidance. This study is particularly interested in providing a computational infrastructure to support and guide educators throughout the design process. The proposed infrastructure was evaluated through a case study with a sample of professors at a university in real situations of group work design in their face-to-face undergraduate courses. The results showed that, for this sample of educators, the infrastructure was able to expose them to relevant design parameters, supporting them in their specification and helping them to understand these parameters. Therefore, the infrastructure shows potential to prevent CL scenarios from being inappropriately and inefficiently structured.

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References

  1. Kimble C, Hildreth P, Bourdon I. Communities of practice: creating learning environments for educators, vol. 1. Charlotte, NC: Information Age Pub; 2008.

    Google Scholar 

  2. Dillenbourg P, Baker M, Blaye A, O’Malley C. The evolution of research on collaborative learning. In: Spada E, Reiman P, editors. Learning in humans and machine: Towards an interdisciplinary learning science. Oxford: Elsevier; 1996. p. 189–211.

    Google Scholar 

  3. Isotani S, Mizoguchi R, Isotani S, Capeli OM, Isotani N, Albuquerque AR, Jaques P. A Semantic Web-based authoring tool to facilitate the planning of collaborative learning scenarios compliant with learning theories. Comput Educ. 2013;63:267–84.

    Article  Google Scholar 

  4. Isotani S, Mizoguchi R, Inaba A, Ikeda M. The foundations of a theory- aware authoring tool for CSCL design. Comput Educ. 2010;54:809–34.

    Article  Google Scholar 

  5. Dillenbourg P. Over-scripting CSCL: The risks of blending collaborative learning with instructional design. Three worlds of CSCL. Can we support CSCL? https://telearn.archives-ouvertes.fr/hal-00190230. Accessed 25 Sept 2021

  6. Strijbos JW, Martens RL, Jochems WMG. Designing group based learning: six steps to designing computer-supported group based learning. Comput Educ. 2004;42:403–24.

    Article  Google Scholar 

  7. King A. Scripting collaborative learning processes: a cognitive perspective. In: Fischer F, Kollar I, Mandl H, Haake JM, editors. Scripting computer-supported collaborative learning. Computer-supported collaborative learning, vol. 6. Boston, MA: Springer; 2007. p. 13–37.

    Chapter  Google Scholar 

  8. Battou A, Baz O, Mammass D. Toward a virtual learning environment based on agile learner-centered design. Intell Syst Comput Vis. 2000. https://doi.org/10.1109/ICMCS.2016.7905666.

    Article  Google Scholar 

  9. Kaendler C, Wiedmann M, Rummel N. Teacher competencies for the implementation of collaborative learning in the classroom: a framework and research review. Educ Psychol Rev. 2015;27:505–36. https://doi.org/10.1007/s10648-014-9288-9.

    Article  Google Scholar 

  10. Bennett S, Agostinho S, Lockyer L. Technology tools to support learning design: Implications derived from an investigation of university teachers’ design practices. Comput Educ. 2015;81:211–20. https://doi.org/10.1007/s10648-014-9288-9.

    Article  Google Scholar 

  11. Barkley EF, Major CHK, Cross KP. Collaborative learning techniques: A handbook for college faculty. 2nd ed. San Francisco: Jossey-Bass; 2014.

    Google Scholar 

  12. Höver KM, Mühlhäuser M. Can We Use S-BPM for Modeling Collaboration Scripts? In: Zehbold C, editor. S-BPM ONE - Application Studies and Work in Progress; 2014. https://doi.org/10.1007/978-3-319-06191-7_13

  13. Clement M, Vandeput L, Osaer T. Blended learning design: a shared experience. Procedia: Soc Behav Sci. 2016;228:582–6. https://doi.org/10.1016/j.sbspro.2016.07.089.

    Article  Google Scholar 

  14. Ruys I, Keer VH, Aelterman A. Student teachers’ skills in the implementation of collaborative learning: a multilevel approach. Teach Teach Educ. 2011;27:1090–100. https://doi.org/10.1016/j.tate.2011.05.005.

    Article  Google Scholar 

  15. Gillies RM, Boyle M. Teachers’ reflections on cooperative learning: issues of implementation. Teach Teach Educ. 2010;26:933–40. https://doi.org/10.1016/j.tate.2009.10.034.

    Article  Google Scholar 

  16. Chikh A. A general model of learning design objects. J King Saud Univ Comput Inf Sci. 2014;26:29–40. https://doi.org/10.1016/j.jksuci.2013.03.001.

    Article  Google Scholar 

  17. Oliveira EW, Borges MRS. How educators design group learning scenarios in higher education? In: International Conference on Information Technology Based Higher Education and Training; 2019. https://doi.org/10.1109/ITHET46829.2019.8937375

  18. Prieto LP, Asensio-Pérez JI, Muñoz-Cristóbal JA, Dimitriadis YA, Jorrín-Abellán IM, Gómez-Sánchez E. Enabling teachers to deploy CSCL designs across distributed learning environments. IEEE Trans Learn Technol. 2013;6:324–36. https://doi.org/10.1109/TLT.2013.22.

    Article  Google Scholar 

  19. Oliveira EW, Borges MRS. Supporting educators to design collaborative learning scenarios. In: International Conference on Computer Supported Education; 2021. https://doi.org/10.5220/0010458700950103

  20. Yin RK. Case study research design and methods. 5th ed. Thousand Oaks, CA: Sage; 2014.

    Google Scholar 

  21. O’Donnel AM, Dansereau D. Scripted cooperation in student dyads: a method for analyzing and enhancing academic learning and performance. In: Hertz-Lazarowitz R, Miller N, editors. Interaction in cooperative groups: the theoretical anatomy of group learning. Cambridge: Cambridge University Press; 1992. p. 120–41.

    Google Scholar 

  22. Hernández-Leo D, Villasclaras-Fernández ED, Asensio-Pérez JI, Dimitriadis Y, Jorrín-Abellán IM, Ruiz-Requies I, Rubia-Avi B. COLLAGE: A collaborative Learning Design editor based on patterns. Educ Technol Soc. 2006;9:58–71.

    Google Scholar 

  23. Jonassen DH, Tessmer M, Hannum WH. Task analysis methods for instructional design. 1st ed. Mahwah: Lawrence Erlbaum Associates; 1999.

    Google Scholar 

  24. Challco GC, Bittencourt II, Isotani S. Computer-based systems for automating instructional design of collaborative learning scenarios: a systematic literature review. Int J Knowl Learn. 2016. https://doi.org/10.1504/IJKL.2016.084745.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil

    Edmar Welington Oliveira

  2. TECNUN, Universidad de Navarra, Donostia/San Sebastián, Spain

    Marcos Roberto da Silva Borges

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  1. Edmar Welington Oliveira
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  2. Marcos Roberto da Silva Borges
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Correspondence to Edmar Welington Oliveira.

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This article is part of the topical collection “Computer Supported Education” guest edited by James Uhomoibhi and Beno Csapó.

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Oliveira, E.W., da Silva Borges, M.R. Analyzing a Computational Infrastructure for Supporting the Design of Group Learning Scenarios. SN COMPUT. SCI. 3, 265 (2022). https://doi.org/10.1007/s42979-022-01136-7

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