Skip to main content
SpringerLink
Log in
Book cover

International Conference on User Modeling, Adaptation, and Personalization

UMAP 2010: User Modeling, Adaptation, and Personalization pp 393–398Cite as

Features of an Independent Open Learner Model Influencing Uptake by University Students

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6075))

Abstract

Building on previous research with an independent open learner model in a range of university courses, this paper investigates features that may influence student choice about whether to use the environment in a particular course. It was found that some features are considered particularly important by students, but other features are less influential in students’ decisions to use an independent open learner model. Recommendations for features to consider promoting uptake of this type of environment are given.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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. Bull, S., Kay, J.: Student Models that Invite the Learner. The SMILI Open Learner Modelling Framework. Int. J. of Artificial Intelligence in Education 17(2), 89–120 (2007)

    Google Scholar 

  2. Bull, S., Mabbott, A., Gardner, P., Jackson, T., Lancaster, M., Quigley, S., Childs, P.A.: Supporting Interaction Preferences and Recognition of Misconceptions with Independent Open Learner Models. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 62–72. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  3. Dimitrova, V.: StyLE-OLM: Interactive Open Learner Modelling. Int. J. of Artificial Intelligence in Education 13(1), 35–78 (2003)

    MathSciNet  Google Scholar 

  4. Kay, J.: Learner Know Thyself: Student Models to Give Learner Control and Responsibility. In: Halim, Z., Ottomann, T., Razak, Z. (eds.) ICCE, AACE, pp. 17–24 (1997)

    Google Scholar 

  5. Mabbott, A., Bull, S.: Student Preferences for Editing, Persuading and Negotiating the Open Learner Model. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 481–490. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Perez-Marin, D., Pascual-Neito, I., Alfonseca, E., Rodriguez, P.: Automatically Generated Inspectable Learning Models for Students. In: Luckin, R., Koedinger, K.R., Greer, J. (eds.) Artificial Intelligence in Education, pp. 632–634. IOS Press, Amsterdam (2007)

    Google Scholar 

  7. Mitrovic, A., Martin, B.: Evaluating the Effect of Open Student Models on Self-Assessment. Int. J. of Artificial Intelligence in Education 17(2), 121–144 (2007)

    Google Scholar 

  8. Zapata-Rivera, J.D., Greer, J.E.: Interacting with Inspectable Bayesian Models. Int. J. of Artificial Intelligence in Education 14, 127–163 (2004)

    Google Scholar 

  9. Shahrour, G., Bull, S.: Interaction Preferences and Learning in an Inspectable Learner Model for Language. In: Dimitrova, V., Mizoguchi, R., du Boulay, B., Graesser, A. (eds.) Artificial Intelligence in Education, pp. 659–661. IOS Press, Amsterdam (2009)

    Google Scholar 

  10. Higher Education Academy/Juwah et al. Enhancing Student Learning Through Effective Formative Feedback (2004), http://www.heacademy.ac.uk

  11. Yudelson, M., Brusilovsky, P.: NavEx: Providing Navigation Support for Adaptive Browsing of Annotated Code Examples. In: Looi, C.-K., McCalla, G., Bredeweg, B., Breuker, J. (eds.) Artificial Intelligence in Education, pp. 710–717. IOS Press, Amsterdam (2005)

    Google Scholar 

  12. Bull, S., Britland, M.: Group Interaction Prompted by a Simple Assessed Open Learner Model that can be Optionally Released to Peers. In: Brusilovsky, P., Papanikolaou, K., Grigoriadou, M. (eds.) PING Workshop, User Modeling (2007)

    Google Scholar 

  13. Ahmad, N., Bull, S.: Learner Trust in Learner Model Externalisations. In: Dimitrova, V., Mizoguchi, R., du Boulay, B., Graesser, A. (eds.) Artificial Intelligence in Education, pp. 617–619. IOS Press, Amsterdam (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.

    Susan Bull

Authors
  1. Susan Bull
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Science Department, Eindhoven University of Technology, 5600, Eindhoven, MB, The Netherlands

    Paul De Bra

  2. School of Information and Computer Sciences, University of California, 92697-3440, Irvine, CA, USA

    Alfred Kobsa

  3. Department of Information and Computer Sciences, University of Hawaii, 96822, Honolulu, HI, USA

    David Chin

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bull, S. (2010). Features of an Independent Open Learner Model Influencing Uptake by University Students. In: De Bra, P., Kobsa, A., Chin, D. (eds) User Modeling, Adaptation, and Personalization. UMAP 2010. Lecture Notes in Computer Science, vol 6075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13470-8_38

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13470-8_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13469-2

  • Online ISBN: 978-3-642-13470-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation