Skip to main content

Organizing Learning Objects for Personalized eLearning Services

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5714))

Abstract

In this paper we present a way to organize Learning Objects to achieve personalized eLearning. PEDAL-NG is a system that supports personalization based on the user’s prior knowledge and the learning style in an existing and operational eLearning environment. The prior knowledge assessment and the learning style questionnaire proved to be simple and useful tools to gather necessary information about the user in order to deliver personalized eLearning experience.

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. Gu, Q., Chica, S., Ahmad1, F., Khan, H., Sumner, T., Martin, J.H., Butcher, K.: Personalizing the Selection of Digital Library Resources to Support Intentional Learning. In: Christensen-Dalsgaard, B., Castelli, D., Ammitzbøll Jurik, B., Lippincott, J. (eds.) ECDL 2008. LNCS, vol. 5173, pp. 244–255. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Tyler-Smith, K.: Early attrition among first time elearners: A review of factors that contribute to drop-out, withdrawal and non-completion rates of adult learners undertaking elearning programmes. Journal of Online Learning and Teaching 2(2) (2006)

    Google Scholar 

  3. Kyung-Sun, K., Moore, J.L.: Web-based learning: Factors affecting students’ satisfaction and learning experience. First Monday 10(11) (2005)

    Google Scholar 

  4. Bchner, A., Patterson, D.: Personalised e-learning opportunities - call for a pedagogical domain knowledge model. In: Proc. of 15th International Workshop on Database and Expert Systems Applications, Zaragoza, Spain (2004)

    Google Scholar 

  5. Boticario, J.G., Santos, O., Rosmalen, P.: Issues developing standard-based adaptive learning management systems. Paper for the EADTU 2005 Working Conference: Towards Lisbon 2010: Collaboration for Innovative Content in Lifelong Open and Learning (2005)

    Google Scholar 

  6. Maurice, D.M., Anand, S.S., Bchner, A.G.: Personalization on the net using web mining: introduction. Communications of the ACM 43(8) (2000)

    Google Scholar 

  7. Conlan, O., Wade, V., Bruen, C., Gargan, M.: Multi-model, Metadata Driven Approach to Adaptive Hypermedia Services for Personalized eLearning. In: Proc. of AH and Adaptive Web-Based Systems (2002)

    Google Scholar 

  8. Fleming, N.: VARK. A guide to learning styles (2008), http://www.vark-learn.com

  9. Takhirov, N., Sølvberg, I.: Adaptive personalized eLearning on top of existing LCMS. In: Proc. of Joint Conference on Digital Libraries, JCDL 2009, Austin, TX, USA (2009)

    Google Scholar 

  10. Takhirov, N.: Adaptive personalized eLearning. Master thesis, Norwegian University of Science and Technology, Trondheim, Norway (2008), http://ask.bibsys.no/ask/action/show?pid=082894205&kid=biblio

  11. Felder, R.M., Silverman, L.K.: Learning and teaching styles. Engineering Education, 78(7) (1988)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Takhirov, N., Sølvberg, I.T., Aalberg, T. (2009). Organizing Learning Objects for Personalized eLearning Services. In: Agosti, M., Borbinha, J., Kapidakis, S., Papatheodorou, C., Tsakonas, G. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2009. Lecture Notes in Computer Science, vol 5714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04346-8_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04346-8_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04345-1

  • Online ISBN: 978-3-642-04346-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics