Applied Research in the Field of Automation of Learning and Knowledge Control

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 291)

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.

Keywords

automated educational system intelligent system expert system teacher’s behavior learning format control knowledge subjective expert’s opinion artificial neural networks fuzzy logic fuzzy rules linguistic variables 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Information Technology and ProgrammingAzerbaijan Technical UniversityBakuAzerbaijan

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