Skip to main content

Incorporating Learning Characteristics into an Intelligent Tutor

  • Conference paper
  • First Online:
Intelligent Tutoring Systems (ITS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2363))

Included in the following conference series:

Abstract

This paper introduces, EDUCE, an ITS that utilises individual learning characteristics to generate presentations in diverse and sensitive ways. In EDUCE, the pedagogical framework classifies the educational content and the learner characteristics in the student model along two dimensions: Gardner’s Multiple Intelligences and Bloom’s learning goals. The two dimensions represent the philosophical underpinning in the design of instructional strategies and for understanding the student behaviour. It is through the provision of a variety of instructional strategies, that EDUCE aims to motivate and engage the learner. This paper describes the principles, architecture, design and implementation of EDUCE. It shows how educational theory may underpin the design of an ITS and how a pedagogical component that accommodates learning characteristics may be incorporated into an ITS. It also shows how to develop a mechanism by which the learner can choose between alternative instructional approaches.

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. Bloom, B. Engelhart, M., Hill, W., Furst, E., & Krathwohl, D. (1956): Taxonomy of educational objectives. The classification of educational goals. Handbook I: Cognitive domain. Longman Green.

    Google Scholar 

  2. Borich, G., Tombari, M. (1997): Educational Pscyhology: A contemporary Approach. Longman 1997.

    Google Scholar 

  3. Brusilovsky, P. (2001): Adpative Hypermedia. User Modeling and User-Adapted Instruction, Volume 11, Nos 1-2. Kluwer Academic Publishers.

    Google Scholar 

  4. Carver, C., Howard, R., & Lavelle, E. (1996): Enhancing student learning by incorporating learning styles into adaptive hypermedia. 1996 ED-MEDIA Conference on Educational Multimedia and Hypermedia. Boston, MA.

    Google Scholar 

  5. Clark, R. E. (1983): Reconsidering research on learning from media. Review of Educational Research, 53(4).

    Google Scholar 

  6. Danielson, R. (1997): Learning Styles, media preferences, and adaptive education. In: Proceedings of the workshop “Adaptive Systems and User Modeling on the World Wide Web”, Sixth International Conference on User Modeling, UM97.

    Google Scholar 

  7. Dunn & Dunn (1978): Teaching Students through their individual learning styles: A practical approach.Prentice Hall, Reston Publishing.

    Google Scholar 

  8. Gagné, R. M. (1985). Conditions of Learning. New York: Holt.

    Google Scholar 

  9. Gagné, R. M., Briggs, L. & Wagner, W., (1992). Principles of instructional design. Harcourt, Brace.

    Google Scholar 

  10. Gardner H. (1983) Frames of Mind: The theory of multiple intelligences. New York. Basic Books.

    Google Scholar 

  11. Gardner H. (1993): Multiple Intelligences: The theory in practice. New York. Basic Books.

    Google Scholar 

  12. Gardner H. (2000): Intelligence Reframed: Multiple Intelligences for the 21st Century. Basic Books

    Google Scholar 

  13. Gilbert, J. E. & Han, C. Y. (1999): Arthur: Adapting Instruction to Accommodate Learning Style. In: Proceedings of WebNet’99, World Conference of the WWW and Internet, Honolulu, HI.

    Google Scholar 

  14. Honey, P. and Mumford, A. (1986, 1992): The Manual of Learning Styles. Peter Honey, Maidenhead.

    Google Scholar 

  15. Lazaer, D. (1999): Eight Ways of Teaching: The Artistry of Teaching with Multiple Intelligences, SkyLight.

    Google Scholar 

  16. Milne, S. (1997): Adapting to Learner Attributes, experiments using an adaptive tutoring system. Educational Pschology Vol 17 Nos 1 and 2, 1997

    Google Scholar 

  17. Rasmussen, K. L. (1998): Hypermedia and learning styles: Can performance be influenced? Journal of Multimedia and Hypermedia, 7(4).

    Google Scholar 

  18. Reigeluth, C.M. (1996): A new paradigm of ISD? Educational Technology, 36(3).

    Google Scholar 

  19. Riding, R. J. (1991): Cognitive Styles Analysis, Learning and Training Technology, Birmingham.

    Google Scholar 

  20. Riding, R., & Grimley, M. (1999): Cognitive style and learning from multimedia materials in 11-year children. British Journal of Educational Technology, 30(1).

    Google Scholar 

  21. Riding, R. & Rayner. S, (1997): Cognitive Styles and learning strategies. David Fulton Publishers.

    Google Scholar 

  22. Rowntree, D. (1992): Exploring open and distance learning materials. London: Kogan page

    Google Scholar 

  23. Russell, T. L. (1998): The “no significant difference” phenomenon. North Carolina State University, Raleigh.

    Google Scholar 

  24. Specht, M. and Oppermann, R. (1998): ACE: Adaptive CourseWare Environment, New Review of HyperMedia & MultiMedia 4

    Google Scholar 

  25. Stern, M & Woolf. B. (2000): Adaptive Content in an Online lecture system. In: Proceedings of the First Adpative Hypermedia Conference, AH2000.

    Google Scholar 

  26. Terman (1925): Mental and physical traits of a thousand gifted children. Genetic studies of genius: Vol 1. Standford CA. Standord University.

    Google Scholar 

  27. Winn, W. (1989): Toward a rational and theoretical basis for educational technology. Educational Technology Research & Development, 37(1).

    Google Scholar 

  28. Woolf, B., Regian, W. (2000): Knowledge-based training systems and the engineering of Instruction. Handbook of Training and Retraining.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kelly, D., Tangney, B. (2002). Incorporating Learning Characteristics into an Intelligent Tutor. In: Cerri, S.A., Gouardères, G., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2002. Lecture Notes in Computer Science, vol 2363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47987-2_73

Download citation

  • DOI: https://doi.org/10.1007/3-540-47987-2_73

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43750-5

  • Online ISBN: 978-3-540-47987-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics