Abstract
This paper presents the results of research devoted to the implementation of an intelligent information system for learning and control of knowledge. The system is developed in order to create an effective environment capable of providing high-quality training functions with minimal involvement of the teacher, and to ensure adequate control of learning processes of individuals. The basic principles of the presented research are methods of analysis and algorithmic behavior of the teacher delivering the training and control of knowledge. The system is equipped with multiple solutions to a number of issues: organizing information material, formalizing the meaning of question-answer pairs in different circumstances, and accounting subjective opinions of experts.
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Shahbazova, S.N. (2013). Applied Research in the Field of Automation of Learning and Knowledge Control. In: Yager, R., Abbasov, A., Reformat, M., Shahbazova, S. (eds) Soft Computing: State of the Art Theory and Novel Applications. Studies in Fuzziness and Soft Computing, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34922-5_16
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DOI: https://doi.org/10.1007/978-3-642-34922-5_16
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