Abstract
Learning objects offer a new content design methodology for instructional designers in developing and utilizing e-learning environments. These learning objects are usually tagged and stored in repositories in a taxonomic way and mostly accompanied by key-based searching capability. Since those repositories do not have complicated reasoning and inference capabilities, access to and integration of them into an existing course package create a problem for e-learning instructors and learners. These problems will be able to be fixed by integration of semantic web technologies, and current learning object repositories could better be utilized by developing ontology-based learning object retrieval tools. In this chapter, the development and evaluation of an ontology-based learning object navigation and retrieval tool (OBELON) is presented. As part of an evaluation process, OBELON was compared with a taxonomy-based learning object retrieval system by using two information retrieval parameters: precision and recall. The findings indicated that ontology-based system produced more precise and high recall scores.
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This research is supported by the Scientific and Technological Research Council of Turkey (TUBITAK)-SOBAG, with the grant number of 110K602.
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Altun, A., Kaya, G. (2014). Development and Evaluation of an Ontology Based Navigation Tool with Learning Objects for Educational Purposes. In: Huang, R., Kinshuk, ., Chen, NS. (eds) The New Development of Technology Enhanced Learning. Lecture Notes in Educational Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38291-8_9
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