Summary
Learning management systems (LMS) are successfully used in e-education but they provide the same courses for all learners rather than considering the learners’ individual needs. In recent years, more and more research is done on incorporating individual characteristics such as learning styles in technology enhanced learning. According to educational theories, learners with a strong preference for a specific learning style might have difficulties in learning if their learning style is not considered by the teaching environment. On the other hand, providing courses that fit to the individual learning styles makes learning easier for students. As a requirement for taking learning styles into consideration in LMS, the behaviour of students in online courses needs to be investigated. In this chapter, we analyse the behaviour of 43 students during an online course within an LMS with respect to their learning styles. The results show that learners with different preferences for learning styles act also differently in the course. From these results, information about the preferred way of learning and their favoured features in the LMS can be gained. On one hand, this information can be used to incorporate different features in a course in order to support different learning styles. On the other hand, the information can act as basis for providing adaptive courses. Moreover, we analysed the behaviour of students and their learning styles with respect to correlations. As a result, we found several significant correlations which can be used to investigate and develop an automatic approach for detecting learning styles based on the behaviour of learners in LMS.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jonassen DH, Grabowski BL (1993) Handbook of Individual Differences, Learning, and Instruction. Lawrence Erlbaum Associates, Hillsdale, NJ
Felder RM, Silverman LK (1988) Learning and teaching styles in engineering education. Engineering Education 78(7):674–681. Preceded by a preface in 2002: http://www.ncsu.edu/felderpublic/Papers/LS-1988.pdf
Felder RM, Soloman BA (1997) Index of Learning Styles questionnaire. Retrieved 30 April, 2007, from http://www.engr.ncsu.edu/learningstyles/ilsweb.html
Bajraktarevic N, Hall W, Fullick P (2003) Incorporating learning styles in hypermedia environment: empirical evaluation. In: Proceedings of the Workshop on Adaptive Hypermedia and Adaptive Web-Based Systems, Nottingham, UK, pp. 41–52
Carver CA, Howard RA, Lane WD (1999) Addressing different learning styles through course hypermedia. IEEE Transactions on Education 42(1):33–38
Shang Y, Shi H, Chen S-S (2001) An intelligent distributed environment for active learning. ACM Journal of Educational Resources in Computing 1(2):1–17
Papanikolaou KA, Grigoriadou M (2003) An instructional framework supporting personalized learning on the web. In: Proceedings of the International Conference on Advanced Learning Technologies. IEEE Computer Society, Los Alamitos, CA, pp. 120–124
Paredes P, RodrĂguez P (2004) A mixed approach to modelling learning styles in adaptive educational hypermedia. Advanced Technology for Learning 1(4):210–215
Brusilovsky P (2004) Knowledge tree: a distributed architecture for adaptive e-learning. In: Proceedings of the International Conference on World Wide Web. ACM Press, New York, USA, pp. 104–113
Moodle (2007). Retrieved 30 April, 2007, from http://www.moodle.org
Blackboard (2007). Retrieved 30 April, 2007, from http://www.blackboard.com
WebCT (2007). Retrieved 30 April, 2007, from http://www.webct.com/
Graf S, List B (2005) An evaluation of open source e-learning platforms stressing adaptation issues. In: Proceedings of the Fifth International Conference on Advanced Learning Technologies. IEEE Press, New York, pp. 163–165
Kolb DA (1984) Experiential learning: experience as the source of learning and development. Prentice-Hall, Englewood Cliffs, NJ
Honey P, Mumford A (1982) The Manual of Learning Styles. Peter Honey, Maidenhead
Kuljis J, Liu F (2005) A comparison of learning style theories on the suitability for e-learning. In: Hamza MH (ed.), Proceedings of the IASTED Conference on Web Technologies, Applications, and Services. ACTA Press, pp. 191–197
Felder RM, Spurlin J (2005) Applications, reliability and validity of the index of learning styles. International Journal on Engineering Education 21(1):103–112
GarcĂa P, Amandi A, Schiaffino S, Campo M (in press) Evaluating Bayesian networks’ precision for detecting students’ learning styles. Computers & Education
Jensen FV (1996) An Introduction to Bayesian Networks. Springer, Berlin Heidelberg New York
Cha HJ, Kim YS, Park SH, Yoon TB, Jung YM, Lee J-H (2006) Learning style diagnosis based on user interface behavior for the customization of learning interfaces in an intelligent tutoring system. In: Ikeda M, Ashley KD, Chan T-W (eds.) Proceedings of the Eigth International Conference on Intelligent Tutoring Systems, LNCS, vol. 4053. Springer, Berlin Heidelberg New York, pp. 513–524
Dunham MH (2002) Data Mining: Introductory and Advanced Topics. Prentice Hall, Upper Saddle River, NJ
Rabiner LR (1989) A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE 77(2):257–286
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Graf, S., Kinshuk (2008). Analysing the Behaviour of Students in Learning Management Systems with Respect to Learning Styles. In: Wallace, M., Angelides, M.C., Mylonas, P. (eds) Advances in Semantic Media Adaptation and Personalization. Studies in Computational Intelligence, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76361_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-76361_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76359-8
Online ISBN: 978-3-540-76361-1
eBook Packages: EngineeringEngineering (R0)