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Modern Architectures of Intelligent Tutoring Systems Based on Integrated Expert Systems: Features of the Approach to the Automated Formation of the Ontological Space of Knowledge and Skills of Students

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Abstract

The features of the main types of architectures of modern intelligent tutoring systems are analyzed. Special attention is paid to intelligent tutoring systems based on the architectures of tutoring integrated expert systems and tutoring web-oriented integrated expert systems, the basic principles and development technology of which are determined by the problem-oriented methodology for building integrated expert systems and the tools of the AT-TECHNOLOGY workbench. The prerequisites, the results obtained, and further prospects for the automated formation of a unified ontological space of knowledge and skills of students are discussed through the use of tutoring web-oriented integrated expert systems throughout the educational process.

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Authors and Affiliations

  1. National Research Nuclear University “MEPhI”, 115409, Moscow, Russian Federation

    G. V. Rybina & A. A. Grigoriev

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  1. G. V. Rybina
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  2. A. A. Grigoriev
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Correspondence to G. V. Rybina or A. A. Grigoriev.

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Galina Valentinovna Rybina. She graduated from the Moscow Engineering Physics Institute in 1971. Professor of Department No. 22 Cybernetics of the National Research Nuclear University of MEPhI. Doctor of Engineering Sciences, Professor, winner of the President of the Russian Federation Prize in the field of education for the development and implementation of the educational and methodological complex “Models, Methods, and Software Tools for Designing Intelligent Decision-Making and Management Systems” as part of the team of authors. Honorary Worker of Higher Professional Education of the Russian Federation, multiple winner of the competition “Moscow Grant in Science and Technology in Education,” full member of the Russian Academy of Natural Sciences. Author of more than 500 scientific and educational works, including 5 monographs and 32 textbooks. The founder of the new scientific school integrated expert systems, the creator of several original scientific areas in the field of knowledge engineering, natural language processing, intelligent tutoring systems, intelligent agents, and multiagent systems.

Andrey Alexandrovich Grigoryev. He graduated from the National Research Nuclear University, Moscow Engineering Physics Institute (MEPhI) in 2022. Graduate student of the first year in Department No. 22 Cybernetics of the National Research Nuclear University of MEPhI. Scientific interests: intelligent systems and technologies, intelligent tutoring systems and intelligent tutoring, integrated expert systems. Coauthor of four scientific works.

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Rybina, G.V., Grigoriev, A.A. Modern Architectures of Intelligent Tutoring Systems Based on Integrated Expert Systems: Features of the Approach to the Automated Formation of the Ontological Space of Knowledge and Skills of Students. Pattern Recognit. Image Anal. 33, 491–497 (2023). https://doi.org/10.1134/S1054661823030409

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