Skip to main content

Using Simulated Students for the Assessment of Authentic Document Retrieval

  • Conference paper
Intelligent Tutoring Systems (ITS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4053))

Included in the following conference series:

  • 3635 Accesses

Abstract

In the REAP system, users are automatically provided with texts to read that are targeted to their individual reading abilities and needs. To assess such a system, students with different abilities use it, and then researchers measure how well it addresses their needs. In this paper, we describe an approach using simulated students to perform this assessment. This enables researchers to determine if the system functions well enough for the students to learn the curriculum and how factors such as corpus size and retrieval criteria affect performance. We discuss how we have used simulated students to assess the REAP system and to prepare for an upcoming study, as well as future work.

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

Access this chapter

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. VanLehn, K., Ohlsson, S., Nason, R.: Applications of simulated students: An exploration. Journal of Artificial Intelligence in Education (1994)

    Google Scholar 

  2. Perfetti, C.A., Britt, M.A., Georgi, M.: Text-based learning and reasoning: Studies in history. Erlbaum, Hillsdale (1995)

    Google Scholar 

  3. Perfetti, C.A., Hart, L.: The lexical quality hypothesis. In: Vehoeven, L., Elbro, C., Reitsma, P. (eds.) Precursors of functional literacy, Amsterdam/Philadelphia (2001)

    Google Scholar 

  4. Brown, J., Frishkoff, G., Eskenazi, M.: Automatic question generation for vocabulary assessment. In: Proceedings of HLT/EMNLP 2005, Vancouver, B.C (2005)

    Google Scholar 

  5. Collins-Thompson, K., Callan, J.: A language modeling approach to predicting reading difficulty. In: Proceedings of the HLT/NAACL 2004 Conference, Boston (2004)

    Google Scholar 

  6. Brown, J., Eskenazi, M.: Student, text and curriculum modeling for reader-specific document retrieval. In: Proceedings of the IASTED International Conference on Human-Computer Interaction, Phoenix (2005)

    Google Scholar 

  7. Brown, J., Eskenazi, M.: Retrieval of Authentic Documents for Reader-Specific Lexical Practice. In: Proceedings of InSTIL/ICALL Symposium 2004, Venice, Italy (2004)

    Google Scholar 

  8. Ritter, F., Avraamides, M.N., Councill, I.G.: Validating Changes to a Cognitive Architecture To More Accurately Model the Effects of Two Example Behavior Moderators. In: Proceedings of the Eleventh Computer-Generated Forces and Behavior Representation Conference, Orlando, FL (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Brown, J., Eskenazi, M. (2006). Using Simulated Students for the Assessment of Authentic Document Retrieval. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_68

Download citation

  • DOI: https://doi.org/10.1007/11774303_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35159-7

  • Online ISBN: 978-3-540-35160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics