Abstract
This paper presents an approach to automatic annotation of learning objects’ (LOs) content units that can be later assembled into new LOs personalized to the users’ knowledge, preferences, and learning styles. Relying on a LO content structure ontology and some simple content-mining algorithms and heuristics, we manage to rather successfully determine the values of metadata elements aimed at annotating content units. Specifically, in this paper we present the specificities of generating metadata that describe the subject (based on a domain ontology) and the pedagogical role (based on an ontology of pedagogical roles) of a content unit. To test our approach we developed TANGRAM, an adaptive web-based educational environment for the domain of Intelligent Information system that enables on-the-fly assembly of personalized learning content out of existing content units.
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References
Brusilovsky, P.: Methods and Techniques of Adaptive Hypermedia. In: Adaptive Hypertext and Hypermedia, pp. 1–43. Kluwer Academic Publishers, The Netherlands (1998)
Verbert, K., Klerkx, J., Meire, M., Najjar, J., Duval, E.: Towards a Global Component Architecture for Learning Objects: an Ontology Based Approach. In: Meersman, R., Tari, Z., Corsaro, A. (eds.) OTM-WS 2004. LNCS, vol. 3292, pp. 713–722. Springer, Heidelberg (2004)
Jovanović, J., Gašević, D., Devedžić, V.: Ontology-based Automatic Annotation of Learning Content. Int’l J. on Sem. Web and Inf. Sys. 2(2) (2006) (forthcoming)
Verbert, K., Jovanović, J., Gašević, D., Duval, E.: Repurposing Learning Object Components. In: Proc. of the OTM 2005 Worksh. on Ontologies, Semantics and E-learning, Agia Napa, Cyprus, pp. 1169–1178 (2005)
Liu, B., Chin, C.W., Ng, H.T.: Mining Topic-Specific Concepts and Definitions on the Web. In: Proc. of the 12th Int’l WWW Conf., Budapest, Hungary, pp. 251–260 (2003)
Dolog, P., Nejdl, W.: Challenges and Benefits of the Semantic Web for User Modeling. In: Proc. of AH 2003 Worksh. at 12th Int’l WWW Conf., Budapest, Hungary (May 2003)
Keenoy, K., Levene, M., Peterson, D.: Personalisation and Trails in Self e-Learning Networks, SeLeNe Working Package 4 Deliverable 4.2. (2003) (Online), Available at: http://www.dcs.bbk.ac.uk/selene/reports/Del4.2-2.1.pdf
Felder, R., Silverman, L.: Learning and Teaching Styles In Engineering Education. Journal of Engineering Education 78(7), 674–681 (1988)
Jovanović, J., Gašević, D., Devedžić, V.: Dynamic Assembly of Personalized Learning Content on the Semantic Web. In: 3rd European Semantic Web Conf., Budva, Serbia & Montenegro (2006) (submitted)
De Bra, P., Aroyo, L., Cristea, A.: Adaptive Web-based Educational Hypermedia. In: Web Dynamics, Adaptive to Change in Content, Size, Topology and Use, pp. 387–410 (2004)
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Jovanović, J., Gašević, D., Devedžić, V. (2006). Automating Semantic Annotation to Enable Learning Content Adaptation. In: Wade, V.P., Ashman, H., Smyth, B. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2006. Lecture Notes in Computer Science, vol 4018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11768012_17
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DOI: https://doi.org/10.1007/11768012_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34696-8
Online ISBN: 978-3-540-34697-5
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