The role of artificial intelligence in building an adaptive educational environment

Author:

Izmailova M. A.1ORCID

Affiliation:

1. Financial University under the Government of the Russian Federation

Abstract

   Purpose: of the article is to study the influence of artificial intelligence on the construction of an adaptive educational environment that takes into account the positive and negative impact of artificial intelligence, as the core of digital technologies, on the well-being of participants in the educational process.   Methods: the work uses a complex of theoretical methods, including axiomatic, formalization, abstraction, logical analysis, historical retrospection. The most signifi cant practical research methods include statistical, operationalization and evaluation, comparative analysis.   Results: the article provides a statistical substantiation of the demand for artifi cial intelligence in the education. The current educational problems are shown, in solving which it is advisable to use artifi cial intelligence. The article describes the trends in the use of artificial intelligence in the Russian education. The interpretation of the adaptive educational environment is given and the possibilities of using artificial intelligence as a tool for its construction are shown. The logical sequence for constructing an adaptive intelligent teaching system is proposed. The analysis of the impact of digital technologies used in hybrid learning (including artifi cial intelligence) on the well-being of participants in the educational process was carried out. The need for a rational, balanced and cautious approach to the use of artifi cial intelligence in education is emphasized, which gives rise to numerous ethical problems, ignoring which can negatively aff ect the values of education.   Conclusions and Relevance: in the context of digitalization of the economy and society, the key technology of which is artifi cial intelligence, education is facing technological challenges that force it to adapt to new operating conditions. The penetration of artifi cial intelligence into the field of education is the pattern of scientific and technological progress that cannot be resisted. The positive aspects and threats of using artificial intelligence in education should be critically assessed, and informed decisions should be made on this basis. Considering the specifics of the educational environment in which the foundation of personality is laid, and the need to preserve the values of education as a factor of cultural progress, priority in goal-setting and the meanings of education should remain with a person whose assistant can be artifi cial intelligence.

Publisher

Publishing House Science

Reference30 articles.

1. Turing A.M. Computing machinery and intelligence. Mind. 1950; 59(236):433–460. doi: 10.1093/mind/LIX.236.433 (In Eng.) (Russ. ed.: Turing A.M. Computing machines and reason. Moscow: AST Publ., 2018. 125 p.)

2. Levine R.I., Drang D.E., Edelson B. A comprehensive guide to AI and expert systems. N.Y.: Computing McGraw-Hill Publ., 1990. 289 p. (In Eng.) (Russ. ed.: Levin R., Drang D., Edelson B. Practical introduction to artificial intelligence technology and expert systems with illustrations in Basic. Moscow: Finance and Statistics, 1991. 239 p.)

3. Lauriere J.-L. Intelligence Artificielle. Resolution de problemes par l'Homme et la machine [Artificial intelligence Troubleshooting by man and machine]. Paris: Editions Eyrolles, 1987. 473 p. (In French.) (Russ. ed.: Lauriere J.-L. Artificial intelligence systems. Moscow: Mir Publ., 1991. 568 p.)

4. Turing A.M. Computing machinery and intelligence. Mind. 1950; 59(236):433–460. doi: 10.1093/mind/LIX.236.433; Neumann J. von. The general and logical theory of automata. In: Cerebral mechanisms in behavior. Jeffress L.A., ed. The Hixon symposium. N.Y.: John Wiley & Sons, Inc.; London: Chapman & Hall, 1951:2070–2098 (In Eng.) (Russ. ed.: Turing A.M. Can the machine think? (with J. von Neumann's "The general and logical theory of automata"). Moscow: URSS, 2016. 110 p.)

5. Otbetkina T.A. The history of artificial intelligence. Issues of sustainable development of society. 2022; (8):843–858. https://www.elibrary.ru/ixlaoh (In Russ.)

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