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DynMap+: A Concept Mapping Approach to Visualize Group Student Models

  • U. Rueda
  • M. Larrañaga
  • A. Arruarte
  • J. A. Elorriaga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4227)

Abstract

Computer supported learning systems such as Intelligent Tutoring Systems, web-based learning systems, etc. gather data from students’ interaction. Teachers and students may find useful a medium to inspect information of students and student groups in an intuitive way. This paper presents DynMap+, an approach to generate and visualize Group Student Models generated from data gathered by a computer supported learning system. DynMap+ represents student models graphically by means of Concept Maps. Some graphical resources are used to highlight important data. The use of those resources allows DynMap+ to provide users (e.g. teachers) with a viewpoint that helps him/her to make decisions in order to improve the students learning process. The generated group student models record not only the last state of knowledge of the students but also their evolution during the learning sessions. As the knowledge of the students change over time, the updating of those models is also considered.

Keywords

Learning Activity Basque Country Learning Session Intelligent Tutor System Student Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Workshop on Open, Interactive, and other Overt Approaches to Learner Modelling. In: AIED 1999, Le Mans, France (July 1999), http://aied.inf.ed.ac.uk/members99/resources/modelling/modelling.html
  2. 2.
    Hartley, D., Mitrovic, A.: Supporting learning by opening the student model. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 453–462. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  3. 3.
    Kay, J.: Learner Control. User Modelling and User-Adapted Interaction 11, 111–127 (2001)MATHCrossRefGoogle Scholar
  4. 4.
    Novak, J.D.: A theory of education. Cornell University, Ithaca (1977)Google Scholar
  5. 5.
    Bruillard, E., Baron, G.L.: Computer-based concept mapping: a review of a cognitive tool for students. In: Benzie, D., Passey, D. (eds.) Proceedings of ICEUT 2000, 16th IFIP World Computer Congress, pp. 332–338. PHEI (2000)Google Scholar
  6. 6.
    Millán, E., Pérez-de-la-Cruz, J.L., García, F.: Dynamic versus Static Student Models Based on Bayesian Networks: An Empirical Study. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, pp. 1337–1344. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  7. 7.
    Tongchai, N., Brna, P.: Enhancing Metacognitive Skills through the use of a Group Model based on the Zone of Proximal Development. In: Workshop on Learner Modelling for Reflection, to Support Learner Control, Metacognition and Improved Communication of the 12th International Conference on Artificial Intelligence in Education (2005)Google Scholar
  8. 8.
    Miao, Y., Hoppe, U.: Adapting Process-Oriented Learning Design to Group Characteristics. In: Looi, C., McCalla, G., Bredeweg, B., Breuker, J. (eds.) Proceedings of Artificial Intelligence in Education, pp. 475–482. IOS Press, Amsterdam (2005)Google Scholar
  9. 9.
    Jameson, A., Baldes, S., Kleinbauer, T.: Generative Models of Group Members as Support for Group Collaboration. In: Workshop on User and Group Models for Web-Based Adaptive Collaborative Environments Proceedings of the International Conference on User Modeling, pp. 1–14 (2003)Google Scholar
  10. 10.
    Workshop on Student Modeling for Language Tutors. AIED 2005, Amsterdam, Netherlands (2005), http://www.research.ibm.com/people/a/alpert/AIED05/
  11. 11.
    Rueda, U., Larrañaga, M., Kerejeta, M., Elorriaga, J.A., Arruarte, A.: Visualizing Student Data in a Real Teaching Context by Means of Concept Maps. In: International Conference on Knowledge Management I-Know 2005 (2005)Google Scholar
  12. 12.
    Brusilovsky, P.: The construction and application of student models in intelligent tutoring systems. Journal of Computer and System Sciences International 32(1), 70–89 (1994)Google Scholar
  13. 13.
    Rueda, U., Larrañaga, M., Arruarte, A., Elorriaga, J.A.: Applications of a Concept Mapping Tool. In: Cañas, A.J., Novak, J.D., González, F. (eds.) Proceedings of the First International Conference on Concept Mapping, pp. 545–553 (2004)Google Scholar
  14. 14.
    Golstein, I.P.: The Genetic Graph: a representation for the evolution of procedural knowledge. In: Sleeman, D., Brown, J.S. (eds.) Intelligent Tutoring Systems, pp. 51–77. Academic Press, London (1982)Google Scholar
  15. 15.
    Dimitrova, V., Brna, P., Self, J.: The Design and Implementation of a Graphical Communication Medium for Interactive Learner Modelling. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 432–441. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  16. 16.
    Daley, B.J.: Using concept maps in qualitative research. In: Cañas, A., Novak, D., Gonzales, F.M. (eds.) Concept Maps: theory, Methodology, Technology: Proceedings of the First International Conference on Concept Mapping, Pamplona, Spain, vol. 1, pp. 191–197 (2004)Google Scholar
  17. 17.
    Kinshuk, H.H., Albi, N., Patel, A., Jesshope, C.: Client-Server Architecture based integrated system for education at a distance. In: Ruokamo, H., Nykänen, O., Pohjolainen, S., Hietala, P. (eds.) Intelligent Computer and Communications Technology - Learning in On-Line Communities, Proceedings of the Tenth International PEG Conference, Tampere, Finland, June 23-26, pp. 57–61. Digital Media Institute, Tampere University of Technology (2001) ISBN 952-15-0627-XGoogle Scholar
  18. 18.
    Muehlenbrock, M.: Formation of Learning Groups by using Learner Profiles and Context Information. In: Looi, C., McCalla, G., Bredeweg, B., Breuker, J. (eds.) Proceedings of Artificial Intelligence in Education, pp. 507–514. IOS Press, Amsterdam (2005)Google Scholar
  19. 19.
    Hoppe, U.: The use of multiple student modelling to parametrize group learning. In: Greer, J. (ed.) Proceedings of World Conference on Artificial Intelligence in Education, pp. 234–241 (1995)Google Scholar
  20. 20.
    Mühlenbrock, M., Tewissen, F., Hoppe, H.U.: A framework system for intelligent support in open distributed learning environments. International Journal of Artificial Intelligence in Education 9, 256–274 (1998)Google Scholar
  21. 21.
    Fischer, F., Mandl, H.: Fostering shared knowledge with active graphical representation in different collaboration scenarios (Researchreport Nr. 135). München: Ludwig-Maximilians-Universität, Lehrstuhl für Empirische Pädagogik und Pädagogische Psychologie (2001) Google Scholar
  22. 22.
    Pettersson, D.: Aspect filtering as a tool to support conceptual exploration and presentation. Technical Report TRITA-NA-E0079, KTH Stockholm (December 2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • U. Rueda
    • 1
  • M. Larrañaga
    • 1
  • A. Arruarte
    • 1
  • J. A. Elorriaga
    • 1
  1. 1.University of the Basque Country (UPV/EHU)Donostia

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