Abstract
Goal of this article is to describe relevant data structures that can be used for future adaptation of study materials. This Article provides discussion about three basic e-learning areas of interest. First part describes material structure by adding descriptive attributes and behaviors through Explanation and Tests. Second part is oriented to Student. Student profile, which represents virtualized profile of student requirements, its preferences, actual knowledge, requested knowledge etc., is produced in background In third part there are discussed possibilities of usage of Student objective and subjective response to find optimal explanation for particular student. Last part is oriented to implementation of the knowledge network structure and the model scheme of requested modules. Article discuses benefits of the automatic study material adaptation in opposite to the adaptation based on rules defined by authors.
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Fasuga, R., Holub, L., Radecký, M. (2010). Dynamic Properties of Knowledge Networks and Student Profile in e-Learning Environment. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14306-9_21
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DOI: https://doi.org/10.1007/978-3-642-14306-9_21
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