Abstract
The aim of the paper is to provide a framework for the automatic generation of topic-based user interfaces for video lectures in MOOCs. The proposed approach leverages on Fuzzy Formal Concept Analysis and Semantic Technologies, which allow the definition of solutions for supporting learners to navigate the fragments of one or more video lectures, by selecting the topics of interest. The exploitation of a Semantic Web vocabulary, namely SKOS, to model topics, and their relationships, enables the interconnection of different video lectures, also belonging to different MOOCs. The high interoperability allowed by Semantic Web technologies enables the integration of different and heterogeneous MOOC Platforms, as well as other Open Repositories. This aspect fosters the capability of learners to self-regulate and to enhance their learning paths in new forms of learning experiences based on exploration.
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References
Baker, P., Bujak, K.R., DeMillo, R.: The evolving university: Disruptive change and institutional innovation. Procedia Computer Science 14, 330–335 (2012)
Glance, D.G., Forsey, M., Riley, M.: The pedagogical foundations of massive open online courses. First Monday 18(5) (2013)
Ramos, J.: Using TF-IDF to determine word relevance in document queries. In: First International Conference on Machine Learning (2003)
De Maio, C., Fenza, G., Loia, V., Senatore, S.: Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis. Journal of Information Processing and Management (2011), ISSN 0306-4573
Zhou, B., Hui, S.C., Chang, K.: A formal concept analysis approach for Web Usage Mining. In: Shi, Z., He, Q. (eds.) Intelligent Information Processing II. IFIP, vol. 163, pp. 437–441. Springer, Heidelberg (2005)
SKOS Simple Knowledge Organization System Reference, World Wide Web Consortium (2009), http://www.w3.org/TR/skos-reference/
Bizer, C., Gaedke, M., Kobilarov, G., Volz, J.: Silk – A Link Discovery Framework for the Web of Data (2009)
Seaton, D.T., Rodenius, A.J., Coleman, C.A., Pritchard, D.E., Chuang, I.: Analysis of video use in edX courses. In: AIED 2013 Workshops Proceedings Volume, p. 57 (2013)
Tvarožek, M.: Exploratory search in the adaptive social semantic web. Information Sciences and Technologies Bulletin of the ACM Slovakia 3(1), 42–51 (2011)
Mayer, R.E.: Seeking a science of instruction. Instructional Science 38(2), 143–145 (2010)
Witten, I., Milne, D.: An effective, low-cost measure of semantic relatedness obtained from Wikipedia links. In: Proceeding of AAAI Workshop on Wikipedia and Artificial Intelligence: An Evolving Synergy. AAAI Press, Chicago (2008)
Miranda, S., Mangione, G.R., Orciuoli, F., Gaeta, M., Loia, V.: Automatic generation of assessment objects and Remedial Works for MOOCs. In: IEEE International Conference on Information Technology Based Higher Education and Training, ITHET 2013 (2013)
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De Maio, C., Loia, V., Mangione, G.R., Orciuoli, F. (2014). Automatic Generation of SKOS Taxonomies for Generating Topic-Based User Interfaces in MOOCs. In: Rensing, C., de Freitas, S., Ley, T., Muñoz-Merino, P.J. (eds) Open Learning and Teaching in Educational Communities. EC-TEL 2014. Lecture Notes in Computer Science, vol 8719. Springer, Cham. https://doi.org/10.1007/978-3-319-11200-8_32
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DOI: https://doi.org/10.1007/978-3-319-11200-8_32
Publisher Name: Springer, Cham
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