Abstract
This paper presents and evaluates the solutions for implementing personalized intelligent computer-assisted training systems. A stringent requirement for an effective computer-assisted instructional environment is to elaborate a proper answer for the differentiated cognitive demands of users. The different cognitive style of learners imposes different modalities of presenting and structuring the information (the knowledge) to be taught. Conceptual organization of the training domain knowledge, with learning stages phasing, can constitute a better solution to the problem of adapting the instructional system interaction to users with different cognitive style and needs.
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Pecheanu, E., Segal, C., Stefanescu, D. (2003). Content Modeling in Intelligent Instructional Environments. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_167
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DOI: https://doi.org/10.1007/978-3-540-45226-3_167
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