Abstract
The main purpose of an intelligent E-learning system is to guarantee an effective learning and offer the optimal learning path for each student. Learning path should be suitable for student’s preferences, abilities, interests, learning styles and especially for his current knowledge. Therefore, if a student has a problem with passing a test it is a signal for the system that the offered learning path is not adequate for this user. System should modify learning scenario based on collected data. In this paper new knowledge structure is proposed. For the defined knowledge structure definitions of a learning scenario and a conception for modification of the learning scenario during a learning process are presented.
This research was financially supported by European Union- European Social Found and by Human Capital National Cohesion Strategy under the grant No. II/33/2009.
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Kozierkiewicz-Hetmańska, A. (2009). A Conception for Modification of Learning Scenario in an Intelligent E-learning System. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_7
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DOI: https://doi.org/10.1007/978-3-642-04441-0_7
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