Visualizing Shared-Knowledge Awareness in Collaborative Learning Processes

  • César A. Collazos
  • Luis A. Guerrero
  • Miguel A. Redondo
  • Crescencio Bravo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4715)

Abstract

SKA (Shared-Knowledge Awareness) refers to the perception about the shared knowledge students have while working in a collaborative learning context. If we understand the shared comprehension of the problem to be solved as a key part of any collaborative learning activity, SKA will be an indispensable aspect to take into account when designing CSCL systems. In this paper, we propose some design guidelines that can help in the process of graphical user interface design for CSCL tools. We have evaluated some CSCL tools according to the proposed design guidelines depicting how these recommendations materialize in the graphical user interface of some CSCL tools.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Borges, M., Pino, J.: Awareness mechanisms for coordination in asynchronous CSCW. In: Proceedings of WITS 1999, Charlotte, North Carolina, pp. 69–74 (1999)Google Scholar
  2. 2.
    Bravo, C., Redondo, M.A., Ortega, M., Verdejo, F.: Collaborative Distributed Environments for Learning Design Tasks by Means of Modelling and Simulation. Journal of Network and Computer Applications 29(4), 321–342 (2006)CrossRefGoogle Scholar
  3. 3.
    Bravo, C., Duque, R., Gallardo, J., García, J., García, P.: A Groupware System for Distributed Collaborative Programming: Usability Issues and Lessons Learned. In: REMIDI 2007. Proceedings of International Workshop on Tool Support and Requirements Management in Distributed Projects (in press, 2007)Google Scholar
  4. 4.
    Card, S., Mackinlay, J., Shneiderman, B. (eds.): Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco (1999)Google Scholar
  5. 5.
    Collazos, C., Guerrero, L.A., Pino, J., Ochoa, S.: Introducing Knowledge-Shared Awareness. In: IKS 2002. Proceedings of IASTED International Conference: Information and Knowledge Sharing, St. Thomas, Virgin Islands, USA, pp. 13–18 (2002)Google Scholar
  6. 6.
    Collazos, C., Guerrero, L.A., Pino, J., Ochoa, S.: Evaluating Collaborative Learning Processes. In: Haake, J.M., Pino, J.A. (eds.) CRIWG 2002. LNCS, vol. 2440, pp. 203–221. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  7. 7.
    Dillenbourg, P., Self, J.: Designing human-computer collaborative learning. In: O’Malley, C.C. (ed.) Computer Supported Collaborative Learning, Springer, Heidelberg (1995)Google Scholar
  8. 8.
    Dillenbourg, P.: Some technical implications of the distributed cognition approach on the design of interactive learning environments. Journal of Artificial Intelligence in Education 7(2), 161–180 (1996)Google Scholar
  9. 9.
    Erkens, G.: Dynamics of coordination in collaboration. In: van der linden, J., Renshaw, P. (eds.) Dialogic learning: Shifting perspectives to learning, instruction, and teaching, pp. 191–216. Kluwer Academic Publishers, Dordrecht (2004)Google Scholar
  10. 10.
    Gershon, N., Ward, P.: What Storytelling Can Do for Information Visualization. Communications of the ACM 44(8) (2001)Google Scholar
  11. 11.
    Gutwin, C.: Workspace Awareness in Real-Time Groupware Environments. Ph.D. thesis, Department of Computer Science, University of Calgary, Canada (1997)Google Scholar
  12. 12.
    Hoppe, H.U., Gaßner, K., Mühlenbrock, M., Tewissen, F.: Distributed visual language environments for cooperation and learning. Journal Group Decision and Negotiation 9(3), 205–220 (2000)CrossRefGoogle Scholar
  13. 13.
    Johnson, D.W., Johnson, R.T., Holubec, E.J.: Cooperation in the Classroom, 6th edn. Interaction Book Company (1993)Google Scholar
  14. 14.
    Kirschner, P., Buckingham Shum, S.J., Carr, C.S.: Visualizing argumentation. In: Software tools for collaborative and educational sense making, Kluwer Academic Publishers, Dordrecht (2003)Google Scholar
  15. 15.
    Lally, V.: Analyzing teaching and learning interactions in a networked collaborative learning environment: issues and work in progress. In: Procc. Of Euro CSCL 2001 (2001)Google Scholar
  16. 16.
    Novak, J.D.: Concept mapping: A useful tool for science education. Journal of Research in Science Teaching 27(10), 937–949 (1990)Google Scholar
  17. 17.
    Redondo, M.A., Bravo, C.: DomoSim-TPC: Collaborative Problem Solving to Support the Learning of Domotical Design. Journal Computer Applications in Engineering Education 4(1), 9–19 (2006)CrossRefGoogle Scholar
  18. 18.
    Redondo, M.A., Bravo, C., Ortega, M.: Contextualized Argumentative Discussion for Design Learning in Group. In: Navarro, R., Lorés, J. (eds.) HCI related papers of Interacción 2004, pp. 317–328. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  19. 19.
    Redondo, M.A., Bravo, C., Ortega, M., Verdejo, F.: Providing adaptation and guidance for design learning by problem solving. The DomoSim-TPC approach. Computers and Education 48(4), 642–657 (2007)Google Scholar
  20. 20.
    Savery, J., Duffy, T.: Problem based learning: An instructional model and its constructivist framework. In: Wilson, B. (ed.) Constructivist learning environments: Case studies in instructional design, pp. 135–148. Prentice Hall, Englewwod Cliffs (1996)Google Scholar
  21. 21.
    Slavin, R.: Using Student Team Learning. Center for Social Organization of Schools, Johns Hopkins University (1980)Google Scholar
  22. 22.
    Spence, B.: Information Visualization. Addison-Wesley, Reading (2001)Google Scholar
  23. 23.
    Suthers, D.D., Hundhausen, C.D.: Learning by constructing collaborative representations: An empirical comparison of three alternatives. In: Dillenbourg, P., Eurelings, A., Hakkarainen, K. (eds.) European perspectives on computer-supported collaborative learning, University of Maastricht, pp. 577–592 (2001)Google Scholar
  24. 24.
    Wong, M.: The concept map: A tool for learning science concepts and understanding cognitive processes of preservice teachers – A Case Study. University of Malaysia Sarawak, Malaysia (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • César A. Collazos
    • 1
  • Luis A. Guerrero
    • 2
  • Miguel A. Redondo
    • 3
  • Crescencio Bravo
    • 3
  1. 1.IDIS Research Group, Systems Department, FIET, Universidad del CaucaColombia
  2. 2.Department of Computer Science, Universidad de ChileChile
  3. 3.Department of Information Systems and Technologies, School of Computer Engineering, Universidad de Castilla-La ManchaEspaña

Personalised recommendations