Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Response-Driven Web-Based Assessment System

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3683))

Abstract

This paper focuses on a response-driven Web-based assessment system enhancing learning. The system responds to students’ needs as they progress through the system. A structured environment, suitable for producing automatic help through logic-based and qualitative reasoning mechanisms guiding students in their navigation, is provided.

To decide when to recommend a student to solve another problem, it is necessary to assess the student’s knowledge and the level of confidence she has in her answers. This is achieved in an automatic way allowing students to work without a human tutor.

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. Baker, R.S., Corbett, A.T., Koedinger, K.R.: Detecting student misuse of intelligent tutoring systems. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 531–540. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Bush, M.: A multiple choice test that rewards partial knowledge. Journal of Further and Higher Education 25(2), 157–163 (2001)

    Article  MathSciNet  Google Scholar 

  3. Farthing, D.W.: Permutational multiple choice questions: An objective and efficient alternative to essay-type examination questions. In: Proc. of 3rd Annual Conference on Integrating Technology into Computer Science Education, ITiCSE 1998 (1998)

    Google Scholar 

  4. Gardner-Medwin, A.R.: Confidence assessment in the teaching of basic science. Association for Learning Technology Journal 3, 80–85 (1995)

    Article  Google Scholar 

  5. Guzmán, E., Conejo, R.: A model for student knowledge diagnosis through adaptive testing. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 12–21. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  6. Janvier, W.A., Ghaoui, C.: Using Communication Preference and mapping Learning Styles to Teaching Styles. In: CDVE 2004. LNCS (LNAI), vol. 3190, pp. 185–192. Springer, Heidelberg (2003)

    Google Scholar 

  7. Jensen, M.R., Feuerstein, R.: The learning potential assessment device: From philosophy to practice. In: Lidz, C.S. (ed.) Dynamic assessment: An interactional approach to evaluating learning potential, pp. 379–402. Guilford Publications, Inc, New York (1987)

    Google Scholar 

  8. de Jong, T., Ferguson-Hessler, M.G.M.: Types and qualities of knowledge. Educational Psychologist 31, 105–113 (1996)

    Article  Google Scholar 

  9. Hartley, J.R.: Interacting with multimedia. University computing 15, 129–136 (1993)

    Google Scholar 

  10. Harper, R.: Correcting computer-based assessments for guessing. Journal of Computer Assisted Learning 19, 2–8 (2003)

    Article  Google Scholar 

  11. Hirsh, L., Saeedi, M., Cornillon, J., Litosseliti, L.: A structured dialogue tool for argumentative learning. Journal of Computer Assisted Learning 20(1), 72–80 (2004)

    Article  Google Scholar 

  12. Huffman, D., Goldberg, F., Michlin, M.: Using computers to create constructivist environments: impact on pedagogy and achievement. Journal of Computers in mathematics and science teaching 22(2), 151–168 (2003)

    Google Scholar 

  13. Mora, M.A., Moriyón, R., Saiz, F.: Role-based specification of the behaviour of an agent for the interactive resolution of mathematical problems. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 187–196. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  14. Park, C., Kim, M.: Development of a Level-Based Instruction Model in Web-Based Education. LNCS (LNAI), vol. 3190, pp. 215–221. Springer, Heidelberg (2003)

    Google Scholar 

  15. Santos, C.T., Osòrio, F.S.: Integrating intelligent agents, user models, and automatic content categorization in a virtual environment. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 128–139. Springer, Heidelberg (2004)

    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

Encheva, S., Tumin, S. (2005). Response-Driven Web-Based Assessment System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_106

Download citation

  • DOI: https://doi.org/10.1007/11553939_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28896-1

  • Online ISBN: 978-3-540-31990-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics