Skip to main content

Enhancement of Learning Management System by Integrating Learning Styles and Adaptive Courses

  • Conference paper
  • First Online:
Computational Intelligence in Information Systems (CIIS 2016)

Abstract

Learning management systems (LMS) such as LattitudeLearning, BIStrainer, Blackboard, Google Classroom and Moodle are commonly adapted by many education institutions. Most of the existing LMS are focusing on assisting teaching and learning related matters and does not take consideration in regards to the differences that existed between each individual learners. The main problem is that learners have different motivation, cognitive traits, and learning styles. This paper is examining the effect of learning styles by integrating adaptive courses into the LMS to suit according to the learner’s learning styles. The results revealed that learners exhibited different preferences in LMS environment based on different learning style. This paper focuses on taking account of the learner learning styles by incorporating adaptivity into the learning model. Based on this approach, the current Moodle based LMS has been implemented. By extending LMS with adaptivity, it will enable a support to teachers and learners. The research results are important to ensure that the courses include the features which fit to different learning styles. This will further identify the needs and characteristics of learners by responding to the learners and present them with the enhanced adaptive LMS based on the learners’ needs.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

References

  1. Jun, W., Gruenwald, L., Park, J., Hong, S.: A web-based motivation-supporting model for effective teaching-learning. In: Fong, J., Cheung, C.T., Leong, H.V., Li, Q. (eds.) ICWL 2002. LNCS, vol. 2436, pp. 44–55. Springer, Heidelberg (2002)

    Google Scholar 

  2. Radwan, N.: An adaptive learning management system based on learner’s learning style. Int. Arab J. e-Technol. 3(4), 228–234 (2014)

    MathSciNet  Google Scholar 

  3. Pinto, J., Ng, P., Williams, S.: The effect of learning styles on course performance: a quantile regression analysis. Northern Arizona University the W. A. Franke College of Business, Working Paper Series—08(2), pp. 1-14 (2008)

    Google Scholar 

  4. Jonassen, D.H., Grabowski, B.L.: Handbook of Individual Differences, Learning, and Instruction. Lawrence Erlbaum Associates, Hillsdale, New Jersey (1993)

    Google Scholar 

  5. Coffield, F., Moseley, D., Hall, E., Ecclestone, K.: Should we be using learning styles? what research has to say to practice. Learning and Skills Research Centre, University of Newcastle upon Tyne, London (2004)

    Google Scholar 

  6. Pask, G.: Styles and strategies of learning. Br. J. Educ. Psychol. 46, 128–148 (1976)

    Article  Google Scholar 

  7. Entwistle, N.J., Hanley, M., Hounsell, D.: Identifying distinctive approaches to studying. High. Educ. 8(4), 365–380 (1979)

    Article  Google Scholar 

  8. Felder, R.M.: Learning and teaching styles in engineering education. J. Eng. Educ. 78(7), 674–681 (1988)

    Google Scholar 

  9. Soloman, B.A., Felder, R.M.: Index of Learning Styles (1997). http://www.engr.ncsu.edu/learningstyles/ilsweb.html

  10. Brown, B.L.: Learning Styles and Vocational Education Practice. ERIC Clearinghouse on Adult, Career, and Vocational Education, Columbus (1998). http://www.calpro-online.org/eric/pab.asp

  11. Zywno, M.S.: A contribution to validation of score meaning for felder-soloman’s index of learning styles. In: Proceedings of the 2003 American Society for Engineering Education Annual Conference and Exposition, pp. 23–51 (2003)

    Google Scholar 

  12. Livesay, G.A., Dee K.C., Nauman E.A., Hites, L.S.: Engineering learners learning styles: A statistical analysis using felder’s ındex of learning styles. In: Proceedings of the American Society for Engineering Education, Montreal, Quebec, pp. 2144–2151 (2002)

    Google Scholar 

  13. Felder, R.M., Spurlin, J.: Applications, reliability and validity of the Index of Learning Styles. Int. J. Eng. Ed. 21(1), 103–112 (2005)

    Google Scholar 

  14. Van Zwanenberg, N., Wilkinson, L.J., Anderson, A.: Felder and silverman’s index of learning styles and honey and mumford’s learning style questionnaire: how do they compare and how do they predict? Educ. Psych. 20(3), 365–381 (2000)

    Article  Google Scholar 

  15. Zaharias, P.: Usability and e-learning: The road towards integration. ACM eLearn Mag. 2004(6), 4 (2004)

    Article  Google Scholar 

  16. Leeming, D., Pitia, P., Haccehy, G.: Introduction to Learning Management System. Workshop Report, Distance Learning Centers Project, Pfnet Internet Centre, Honiara (2005)

    Google Scholar 

  17. Paulsen, M.F.: Experience with learning management system in 113 european institutions. Educ. Technol. Soc. 6(4), 134–148 (2003)

    MathSciNet  Google Scholar 

  18. Aberdour, M.: Open Source Learning Management Systems. An Epic White Paper (2007)

    Google Scholar 

  19. Cavus, N., Uzunboylu, H., Ibrahim, D.: Assessing the success of learners using a learning management system and together with a collaborative tool in web based teaching of programing languages. J. Educ. Comput. Res. 36(3), 301–321 (2007)

    Article  Google Scholar 

  20. Nielsen, J.: Finding usability problems through heuristic evaluation. In: Proceedings of the ACM CHI 1992 Conference (Monterey, California), pp. 373–380 (1992)

    Google Scholar 

  21. Lin, H.-F.: Measuring online learning systems success: applying the updated delone and mclean model. CyberPsychol. Behav. 10(6), 817–820 (2007)

    Article  Google Scholar 

  22. Rubin, J.: Handbook of usability testing: how to plan, design, and conduct effective tests. Wiley, New York (1994)

    Google Scholar 

  23. Hollingsed, T., Novick, D.G.: Usability Inspection methods after 15 years of research and practice. In: 2002 SIGDOC International Conference on Web-Based Learning, Texas, USA, pp. 44–55. Springer, Berlin (2007)

    Google Scholar 

  24. Zhang, D., Zhou, L., Briggs, R.O.: Instructional video in e-learning: assessing the impact of interactive video on learning effectiveness. Inform. Manage. 43(1), 15–27 (2006)

    Article  Google Scholar 

  25. Hiltz, S.R., Turoff, M.: What makes learning networks effective? Commun. ACM 45(4), 56–59 (2002)

    Article  Google Scholar 

  26. Paramythis, A., Loidl-Reisinger, S.: Adaptive learning environments and e-learning standards. Electron. J. e-Learn. 2(1), 181–194 (2004)

    Google Scholar 

  27. Brusilovsky, P.: KnowledgeTree: A distributed architecture for adaptive E-Learning. In: Proceedings of 13th International World Wide Web Conference, WWW 2004, May 17–22, pp. 104–113. ACM Press, New York (2004)

    Google Scholar 

  28. Zanich, M.L.: Learning styles/teaching styles. Unpublished manuscript, Indiana University of Pennsylvania, Teaching Excellence Center, Indiana (1991)

    Google Scholar 

  29. Kelly, C.: The theory of experimental learning and ESL. Internet TESL J. 3(9), 1–5 (1997)

    Google Scholar 

  30. Hauger, D., Köck, M.: State of the art of adaptivity in e-learning platforms. In: 15th Workshop on Adaptivity and User Modeling in Interactive Systems, held in the context of Lernen-Wissensentdeckung- Adaptivität 2007 (LWA 2007). University of Hildesheim, Hildesheim, Germany, pp. 355–362 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ean Heng Lim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Lim, E.H., Wan Ahmad, W.F., Hashim, A.S. (2017). Enhancement of Learning Management System by Integrating Learning Styles and Adaptive Courses. In: Phon-Amnuaisuk, S., Au, TW., Omar, S. (eds) Computational Intelligence in Information Systems. CIIS 2016. Advances in Intelligent Systems and Computing, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-319-48517-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48517-1_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48516-4

  • Online ISBN: 978-3-319-48517-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics