Abstract
The development of Computer Supported Learning Systems is a hard task and, therefore, they are not as broadly used as expected yet. Some authors have claimed that tools for generating learning material in automatic or semiautomatic way are needed. This paper describes how didactic resources can be semi automatically generated from electronic documents using ontologies and Natural Language Processing techniques. Gathering atomic didactic resources and combining them is essential to get results that match human instructors’ expects. Several didactic resource similarity measuring methods have been implemented and tested.
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Larrañaga, M., Elorriaga, J.A., Arruarte, A. (2008). A Heuristic NLP Based Approach for Getting Didactic Resources from Electronic Documents. In: Dillenbourg, P., Specht, M. (eds) Times of Convergence. Technologies Across Learning Contexts. EC-TEL 2008. Lecture Notes in Computer Science, vol 5192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87605-2_22
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DOI: https://doi.org/10.1007/978-3-540-87605-2_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87604-5
Online ISBN: 978-3-540-87605-2
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