Skip to main content

Case-Based Student Modeling Using Concept Maps

  • Conference paper
Case-Based Reasoning Research and Development (ICCBR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3620))

Included in the following conference series:

Abstract

Intelligent Tutoring Systems require student models to tailor tutoring to the individual student. This paper presents CREEK-Tutor, an exercise-oriented tutoring system that uses a student modeling technique based on case-based reasoning to find students of similar competence. We describe a similarity measure for concept maps in student modeling is described, and present an initial evaluation of the approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wenger, E.: Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge. Morgan Kaufmann, Los Altos (1987)

    Google Scholar 

  2. Seitz, A.: A case-based methodology for planning individualized case oriented tutoring. In: Althoff, K.-D., Bergmann, R., Branting, L.K. (eds.) ICCBR 1999. LNCS (LNAI), vol. 1650, pp. 318–328. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  3. Shiri, A., Aimeur, E., Frasson, C.: SARA: a case-based student modeling system. In: Smyth, B., Cunningham, P. (eds.) EWCBR 1998. LNCS (LNAI), vol. 1488, pp. 394–403. Springer, Heidelberg (1998)

    Google Scholar 

  4. Novak, J.D., Gowin, D.B.: Learning How to Learn. Cornell University Press, Ithaca (1984)

    Google Scholar 

  5. Canas, A., Leake, D.B., Maguitman, A.: Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling. In: Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, pp. 286–290. AAAI Press, Menlo Park (2001)

    Google Scholar 

  6. Leake, D.B., Maguitman, A., Canas, A.: Assessing Conceptual Similarity to Support Concept Mapping. In: Proceedings of the Fifteenth International Florida Artifical Intelligence Research Socity Conference, pp. 172–186. AAAI Press, Menlo Park (2001)

    Google Scholar 

  7. Canas, A.: A Summary of Literature Pertaining to the Use of Concept Mapping Techniques and Technologies for Education and Performance Support (2003) http://www.ihmc.us/users/acanas/Publications/ConceptMapLitReview/IHMC%20Literature%20Review%20on%20Concept%20Mapping.pdf (last access 06.02.2005)

  8. Ruiz-Primo, M.A.: Examining Concept Maps as an Assessment Tool. In: Proc. of the First Int. Conference on Concept Mapping, Pamplona, Spain (2004), http://cmc.ihmc.us/papers/cmc2004-036.pdf (last access 13.04.2005)

  9. O’Neil, H.F., Klein, D.C.D.: Feasibility of Machine Scoring of Concept Maps. CSE Technical Report 460. CRESST (1997)

    Google Scholar 

  10. Champin, P.A., Solnon, C.: Measuring the Similarity of Labeled Graphs. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 80–95. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  11. Zhang, D.M., Alem, L.: Using case-based reasoning for exercise design in simulation-based training. In: Lesgold, A.M., Frasson, C., Gauthier, G. (eds.) ITS 1996. LNCS, vol. 1086, pp. 560–568. Springer, Heidelberg (1996)

    Google Scholar 

  12. Aamodt, A.: A Knowledge-Intensive Integrated Approach to Problem Solving and Sustained Learning. PhD. Dissertation. University of Trondheim, Department of Electrical Engineering and Computer Science, Trondheim (1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sørmo, F. (2005). Case-Based Student Modeling Using Concept Maps. In: Muñoz-Ávila, H., Ricci, F. (eds) Case-Based Reasoning Research and Development. ICCBR 2005. Lecture Notes in Computer Science(), vol 3620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11536406_38

Download citation

  • DOI: https://doi.org/10.1007/11536406_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28174-0

  • Online ISBN: 978-3-540-31855-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics