Skip to main content

Synergy of Performance-Based Model and Cognitive Trait Model in DP-ITS

  • Conference paper
User Modeling 2005 (UM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3538))

Included in the following conference series:

Abstract

Information about the student in student model is the basis for virtual learning environments to provide the necessary adaptation. Cognitive Trait Model (CTM) profiles the student based on cognitive traits, such as his/her working memory capacity and inductive reasoning ability. Performance-based adaptation can guide the student to the required concept, whereas cognitive support serves to prevent the student’s cognitive overload while still representing sufficient challenges to the student. This paper describes the synergy of a performance-based student model and CTM in an intelligent tutoring system called DP-ITS.

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. Devedžić, V.: Knowledge Modeling – State of the Art. Integrated Computer-Aided Engineering 8(3), 257–281 (2001)

    Google Scholar 

  2. Huai, H.: Cognitive style and memory capacity: effects of concept mapping as a learning method. Doctoral Thesis, Twente University, The Netherlands (2000)

    Google Scholar 

  3. Jeremić, Z., Devedžić, V.: Student Modeling in Design Pattern ITS. In: Proc. of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Wellington, New Zealand, pp. 299–305 (2004)

    Google Scholar 

  4. Lin, T., Kinshuk, D., Patel, A.: Cognitive Trait Model - A Supplement to Performance Based Student Models. In: Proc. of International Conference on Computers in Education 2003, Hong Kong, pp. 629–632 (2003)

    Google Scholar 

  5. Lin, T., Kinshuk: Dichotomic Node Network and Cognitive Trait Model. In: Proceedings of the 4th IEEE International Conference on Advanced Learning Technologies, Joensuu, Finland, pp. 702–704 (2004)

    Google Scholar 

  6. Lovett, M.C., Daily, L.Z., Reder, L.M.: A Source Activation Theory of Working Memory: Cross-task Prediction of Performance in ACT-R. Journal of Cognitive System Research 1, 99–118 (2000)

    Article  Google Scholar 

  7. Mitrovic, A., Ohlsson, S.: Evaluation of a Constraint-Based Tutor for a Database Language. International Journal on Artificial Intelligence in Education 10, 238–256 (1999)

    Google Scholar 

  8. Staff, C.: HyperContext: A Framework for Adaptive and Adaptable Hypertext. PhD Thesis, University of Sussex (2001)

    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

Jeremić, Z., Lin, T., Kinshuk, Devedžić, V. (2005). Synergy of Performance-Based Model and Cognitive Trait Model in DP-ITS. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_54

Download citation

  • DOI: https://doi.org/10.1007/11527886_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27885-6

  • Online ISBN: 978-3-540-31878-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics