Skip to main content

Intellectual Ability Data Obtaining and Processing for E-Learning System Adaptation

  • Conference paper

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 106))

Abstract

In this article authors describe how an e-learning system can obtain data about learner, so that later it could offer individual content for each learner, based on the obtained data. Authors also describe how the Learning Management System (LMS) Moodle has adapted a standard quiz module interface for testing elementary school students and how students’ individual abilities could be measured more efficiently, for example, by measuring mathematical reaction time. For obtaining necessary testing results and partial processing a new module (TAnalizer) is offered, which is adapted to the Moodle environment. With this module one can gain precise data about each student’s testing process and students’ test results.

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   54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
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. Al-Ajlan, A., Zedan, H.: Why Moodle. In: 12th IEEE International Workshop on Future Trends of Distributed Computing Systems, pp. 58–64. IEEE Press, Washington (2008)

    Chapter  Google Scholar 

  2. Brusilovsky, P., Maybury, M.P.: From Adaptive Hypermedia to the Adaptive Web. Communications of the ACM 45(5), 30–33 (2002)

    Article  Google Scholar 

  3. Castello, J., Leris, D., Martinez, V., Sein-Echaluce, M.L.: Personalized Learning On The Moodle Platform Using The CICEI Conditionals: Support Course In Mathematics. In: INTED 2010, pp. 277–282. IATED Press, Valencia (2010)

    Google Scholar 

  4. Daugulis, P., Shapkova, A.: Research of Mathematical Reaction Time of Schoolchildren for Improving Mathematical Education. In: Daugulis, P. (ed.) 11th International Conference Teaching Mathematics: Retrospective and Perspectives. Daugavpils (2010)

    Google Scholar 

  5. Eirinaki, M., Vazirgiannis, M.: Web Mining for Web Personalization. ACM Transactions Internet Technology 3, 1–27 (2003)

    Article  Google Scholar 

  6. Graf, S.: Adaptivity in Learning Management Systems Focussing on Learning Styles. PhD Thesis. Vienna University of Technology, Austria (2007)

    Google Scholar 

  7. Graf, S., List, B.: An Evaluation of Open Source E-Learning Platforms Stressing Adaptation Issues. In: 15th IEEE International Conference on Learning Technologies, pp. 163–165. IEEE Press, Ischia (2005)

    Google Scholar 

  8. Hauger, D., Köck, M.: State of the Art of Adaptivity in E-Learning Platforms. In: 15th Workshop on Adaptivity and User Modeling in Interactive System, pp. 355–360. LWA Press, Halle (2007)

    Google Scholar 

  9. Limongelli, C., Sciarrone, F., Vaste, G.: Personalized e-Learning in Moodle: the Moodle_LS System. Journal of e-Learning and Knowledge Society 7(1), 49–58 (2011)

    Google Scholar 

  10. Limongelli, C., Sciarrone, F., Temperini, M., Vaste, G.: Adaptive Learning with the LS-Plan System: a Field Evaluation. IEEE Transactions on Learning Technologies 2(3), 203–215 (2009)

    Article  Google Scholar 

  11. Lin, H.-T., Wang, C.-H., Lin, C.-F., Yuan, S.-M.: Annotating Learning Materials on Moodle LMS. In: ICCTD 2009, pp. 455–459. IEEE Press, Kota Kinabalu (2009)

    Google Scholar 

  12. Ling, M.: Web Content Personalization and Task Complexity in e-Commerce Decision Making. Ph.D. dissertation. ETD collection for University of Nebraska, Lincoln (2006)

    Google Scholar 

  13. Meyer, D.E., Osman, A.M., Irwin, D.E., Yantis, S.: Modern Mental Chronometry. Biological Psychology 26, 3–67 (1988)

    Article  Google Scholar 

  14. Moodle statistics, http://moodle.org/stats/

  15. Raising competence of professional education teachers, http://profizgl.lu.lv/

  16. Rauch, L., Andrelczyk, K., Kusiak J.: Agent-based Algorithm Dedicated to Personalization of e-Learning Courses. In: 20th EADTU, Lisbon (2007)

    Google Scholar 

  17. Rossi, G., Schwabe, D., Guimar, R.: Designing Personalized Web Applications. In: 10th International Conference on World Wide Web, pp. 275–284. ACM Press, New York (2001)

    Chapter  Google Scholar 

  18. Rubio Reyes, B., Galan Moreno, M., Ocon Carreras, A., Delgado Cejudo, G., Rubio Royo, E.: Some Technological Solutions To Improve The Efficiency And Management of Learning Using Moodle Platform. In: INTED 2010, pp. 354–360. IATED Press, Valencia (2010)

    Google Scholar 

  19. Sehring, H., Bossung, S., Schmidt, J.: Active Learning By Personalization – Lessons Learnt from Research in Conceptual Content Management. In: 1st International Conference on Web Information Systems and Technologies, pp. 496–503. INSTICC Press, Miami (2005)

    Google Scholar 

  20. Vagale, V.: Utilization of CMS in Educational System in Latvia. In: 6th International Conference, Person. Color. Nature. Music, pp. 262–269. Saule Press, Daugavpils (2009)

    Google Scholar 

  21. Teachers of general education further education, https://talakizglitiba.visc.gov.lv/visp/

  22. Weibelzahl, S., Weber, G.: Evaluating the Inference Mechanism of Adaptive Learning Systems. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS (LNAI), vol. 2702, pp. 154–162. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  23. Won, K.: Personalization: Definition, Status, and Challenges Ahead. Journal of Object Technology 1(1), 29–40 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vagale, V., Niedrite, L. (2012). Intellectual Ability Data Obtaining and Processing for E-Learning System Adaptation. In: Niedrite, L., Strazdina, R., Wangler, B. (eds) Workshops on Business Informatics Research. BIR 2011. Lecture Notes in Business Information Processing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29231-6_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29231-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29230-9

  • Online ISBN: 978-3-642-29231-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics