Skip to main content

Building a Framework to Design and Evaluate Meta-learning Support Systems

  • Conference paper
  • 1547 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6279))

Abstract

It is difficult to generalize and accumulate experiences of system development as methodologies for building meta-learning support systems. Therefore, we need to build a framework that is useful to design and evaluate meta-learning support systems. Thus we propose a framework as a basis to design and evaluate meta-learning support systems. In this paper, we firstly describe our philosophy to solve the problem. Secondly, we propose a meta-learning process model as a basis to understand meta-learning task and what kinds of factors of difficulty exist in performing meta-learning activities. Thirdly, we explain our conceptualization as a basis to design support functions for prompting meta-learning processes. Then, we integrate a meta-learning process model and the conceptualizations, so that we can design and evaluate meta-learning systems. Finally, we illustrate the usefulness of the framework by taking our presentation based meta-learning system as an example.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Flavell, J.H.: Metacognitive aspects of problem solving. In: Resnick, L. (ed.) The Nature of Intelligence, pp. 231–235. Lawrence Erlbaum Associates, Hillsdale (1976)

    Google Scholar 

  2. Brown, A.L., Bransford, J.D., Ferrara, R.A., Campione, J.C.: Learning, Remembering, and Understanding. In: Markman, E.M., Flavell, J.H. (eds.) Handbook of Child Psychology, 4th edn. Cognitive Development, vol. 3, pp. 515–529. Wiley, New York (1983)

    Google Scholar 

  3. Kayashima, M., Inaba, A., Mizoguchi, R.: What Do You Mean by to Help Learning of Metacognition? In: Proc. of the 12th Artificial Intelligence in Education (AIED 2005), Amsterdam, The Netherlands, 18-22, pp. 346–353 (2005)

    Google Scholar 

  4. Kashihara, A., Taira, K., Shinya, M., Sawazaki, K.: Cognitive Apprenticeship Approach to Developing Meta-Cognitive Skill with Cognitive Tool for Web-based Navigational Learning. In: Proc. of the IASTED International Conference on Web-Based Education (WBE 2008), Innsbruck, Austria, March 17-19, pp. 351–356 (2008)

    Google Scholar 

  5. Kojima, K., Miwa, K.: A Case Retrieval System for Mathematical Learning from Analogical Instances. In: Proc. of the International Conference on Computers in Education (ICCE), pp. 1124–1128 (2003)

    Google Scholar 

  6. Maeno, H., Seta, K.: Guidance Generation for Facilitating Meta-Cognitive Learning Through Presentation Task*. In: Proc. of the 2009 International Conference on Multimedia, Information Technology and its Applications, Osaka, Japan, pp. 5–8. IEEE Press, Los Alamitos (2009), ISSN 1975-4736

    Google Scholar 

  7. Nakano, A., Hirashima, T., Takeuchi, A.: Developing and evaluation of a computer-based problem posing in the case of arithmetical word problems. In: The Fourth International Conference on Computer Applications, ICCA 2006 (2006)

    Google Scholar 

  8. John, B., Brown, A., Cocking, R. (eds.): Brain, Mind, Experience, and School., in How People Learn. National Academy Press, Washington (2000)

    Google Scholar 

  9. Gamma, E., Helm, R., Johnson, R., Vlissides, J.M.: Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional, Reading (1994) (illustrated edn)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Seta, K., Fujiwara, M., Noguchi, D., Maeno, H., Ikeda, M. (2010). Building a Framework to Design and Evaluate Meta-learning Support Systems. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15384-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15384-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15383-9

  • Online ISBN: 978-3-642-15384-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics