Nothing Special   »   [go: up one dir, main page]

Skip to main content

A New Approach for Automatically Constructing Concept Maps Based on Fuzzy Rules

  • Conference paper
New Trends in Applied Artificial Intelligence (IEA/AIE 2007)

Abstract

In recent years, some methods have been presented for dealing with the concept map construction to provide adaptive learning guidance to students. In this paper, we present a new method to automatically construct concept maps based on fuzzy rules and students’ testing records. We apply the fuzzy set theory and fuzzy reasoning techniques to automatically construct concept maps and evaluate the relevance degrees between concepts. The proposed method provides a useful way to automatically construct concept maps in adaptive learning systems.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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.

Similar content being viewed by others

References

  1. Appleby, J., Samuels, P., Jones, T.T.: Diagnosis–A Knowledge-based Diagnostic Test of Basic Mathematical Skills. Computers & Education 28, 113–131 (1997)

    Article  Google Scholar 

  2. Carchiolo, V., Longheu, A., Malgeri, M.: Adaptive Formative Paths in a Web-Based Learning Environment. Educational Technology & Society 5, 64–75 (2002)

    Google Scholar 

  3. Gamboa, H.: Designing Intelligent Tutoring Systems: A Bayesian Approach. In: Proceedings of the 3rd International Conference on Enterprise Information Systems, Setubal, Portugal, pp. 452–458 (2001)

    Google Scholar 

  4. Hwang, G.J.: A Conceptual Map Model For Developing Intelligent Tutoring System. Computers & Education 40, 217–235 (2003)

    Article  Google Scholar 

  5. Hwang, G.J., Hsiao, C.L., Tseng, C.R.: A Computer-Assisted Approach to Diagnosing Student Learning Problem in Science Course. Journal of Information Science & Engineering 19, 229–248 (2003)

    Google Scholar 

  6. Hsu, C.S., Tu, S.F., Hwang, G.J.: A Concept Inheritance Method for Learning Diagnosis of a Networkbased Testing and Evaluation System. In: Proceeding of the 7th International Conference on Computer-Assisted Instructions, pp. 602–609 (1998)

    Google Scholar 

  7. Novak, J.D.: Learning, Creating, and Using Knowledge: Concept Maps As Facilitative Tools in Schools and Corporations. Lawrence Erlbaum Associates, Mahwah (1998)

    Google Scholar 

  8. Popham, W.J.: Classroom Assessment: What Teachers Need to Know. Pearson Allyn & Bacon, 222–227 (1999)

    Google Scholar 

  9. Tsai, C.J., Tseng, S.S., Lin, C.Y.: A Two-Phase Fuzzy Mining and Learning Algorithm for Adaptive Learning Environment. In: Delugach, H.S., Stumme, G. (eds.) ICCS 2001. LNCS (LNAI), vol. 2120, pp. 429–438. Springer, Heidelberg (2001)

    Google Scholar 

  10. Sue, P.C., Weng, J.F., Su, J.M., Tseng, S.S.: A New Approach for Constructing the Concept Map. In: Proceedings of the, IEEE International Conference on Advanced Learning Technologies, pp. 76–80. IEEE Computer Society Press, Los Alamitos (2004)

    Google Scholar 

  11. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Hiroshi G. Okuno Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Bai, SM., Chen, SM. (2007). A New Approach for Automatically Constructing Concept Maps Based on Fuzzy Rules. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73325-6_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73322-5

  • Online ISBN: 978-3-540-73325-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics