Abstract
E-learning is an important segment of educational environments. It represents a unique opportunity to learn independently, regardless of time and place, to acquire knowledge without interruption and customized to the individual and based on the principles of traditional education. Today, the most popular forms of e-learning are: web-based e-learning systems, virtual classrooms or tutoring systems. This monograph presents how the Semantic web technologies, ontologies and adaptation rules can be used to improve the performance of an existing tutoring system. The architecture of a personalized tutoring system that relies entirely on Semantic Web technologies and standards is presented. Ontologies that correspond to the components of the traditional tutoring system are shown in detail. This chapter concludes the monograph, summarizing the main contributions and discussing the possibilities for future work.
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Klašnja-Milićević, A., Vesin, B., Ivanović, M., Budimac, Z., Jain, L.C. (2017). Conclusions and Future Directions. In: E-Learning Systems. Intelligent Systems Reference Library, vol 112. Springer, Cham. https://doi.org/10.1007/978-3-319-41163-7_13
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DOI: https://doi.org/10.1007/978-3-319-41163-7_13
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-41163-7
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