Abstract
A number of parameters that support the LMSs capabilities towards content personalization are presented and substantiated. These parameters constitute critical criteria for an exhaustive investigation of the personalization capabilities of the most popular open source LMSs. Results are comparatively shown and commented upon, thus highlighting a course of conduct for the implementation of new personalization methodologies for these LMSs, aligned at their existing infrastructure, to maintain support of the numerous educational institutions entrusting major part of their curricula to them. Meanwhile, new capabilities arise as drawn from a more efficient description of the existing resources –especially when organized into widely available repositories– that lead to qualitatively advanced learner-oriented courses which would ideally meet the challenge of combining personification of demand and personalization of thematic content at once.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dalgarno, B.: Constructivist computer assisted learning: Theory and techniques, http://www.ascilite.org.au/conferences/adelaide96/papers/21 (L.V.14/09/08)
Lytras, M., Carroll, J., Damiani, E., Tennyson, R.: Emerging Technologies and Information Systems for the Knowledge Society. In: 1st WSKS 2008, Greece, September 24-26 (2008)
Jonassen, D., Grabowski, H., Barbara, L.: Handbook of Individual Difference, Learning, and Instruction. Lawrence Erlbaum Associates, Publishers, Hillsdale (1993)
Brusilovsky, P.: Methods and techniques of adaptive hypermedia. User Modeling and User-Adapted Interaction 6(2-3), 87–129 (1996)
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 (2007)
Felder, R., Silverman, L.: Learning and teaching styles in engineering education. Engineering Education 78(7), 674–681 (1988)
Kerkiri, T., Konetas, D., Paleologou, A., Mavridis, I.: Semantic Web Technologies Anchored in Learning Styles as Catalysts towards Personalizing the Learning Process, IJLIC (in press)
Kerkiri, T., Manitsaris, A., Mavridis, I.: How e-Learning systems may benefit from ontologies and recommendation methods to efficiently personalize resources. In: IJKL, vol. 5-2 (2009) ISSN:1741-1009
Graf, S., List, B.: An Evaluation of Open Source E-Learning Platforms Stressing Adaptation Issues. In: 5th IEEE Intern. Conf. Advanced Learning Technologies, pp. 163–165 (2005)
ATutor, http://www.atutor.ca (L.V.: 01/01/09)
Claroline, http://www.claroline.net/ (L.V.: 01/01/09)
Docebo, http://www.docebolms.org/doceboCms/ (L.V.: 01/01/09)
Dokeos, http://www.dokeos.com (L.V. 01/01/2009)
ILIAS, http://www.ilias.de (L.V.: 01/01/09)
Moodle, http://www.moodle.org (L.V.: 01/01/2009)
IEEE P1484.2.1/D8,2001-11-25, http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1
LOM, IEEE Standard for Learning Object Metadata. IEEE, Los Alamitos (2002)
Dix, A., Finlay, J., Abowd, G.D., Beale, R.: Human-computer interaction, 3rd edn. Pearson Education, London (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kerkiri, T., Paleologou, AM. (2009). Do Open Source LMSs Support Personalization? A Comparative Evaluation. In: Lytras, M.D., Ordonez de Pablos, P., Damiani, E., Avison, D., Naeve, A., Horner, D.G. (eds) Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All. WSKS 2009. Communications in Computer and Information Science, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04757-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-04757-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04756-5
Online ISBN: 978-3-642-04757-2
eBook Packages: Computer ScienceComputer Science (R0)