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Review of: Foreign Language Teaching Based on Artificial Intelligence Technologies: joint monograph of P.V. Sysoev, O.G. Polyakov, M.N. Evstigneev et al., academ. ed. by P.V. Sysoev, Tambov, Publishing House “Derzhavinsky”, 2023, 132 p. (In Russ.) ISBN 978-5-00078-732-8

https://doi.org/10.20310/1810-0201-2023-28-3-737-740

Abstract

The joint monograph review “Foreign Language Teaching Based on Artificial Intelligence Technologies” by professor P.V. Sysoev’s academic editorship contains a description of the research issues relevance in the education digitalization era in general and foreign language teaching in particular, the book structure, the main issues discussed in the monograph chapters. The author draws attention to both the research scientific novelty and its practical value in the development of language aspects or the foreign-language types advancing of students’ speech activity. The author notes that the work contains a large number of certain examples of working with artificial intelligence technologies, which largely compensate the absence of specialized courses and manuals that would clearly and step-by-step instruct the lecturer how to handle intelligent technologies and explain the potential of their use in a foreign language teaching.

About the Author

N. V. Popova
Peter the Great St. Petersburg Polytechnic University
Russian Federation

Nina V. Popova - Dr. habil. (Education), Professor, Professor of Institute of Humanities Linguodidactics and Translation Higher School, Peter the Great St. Petersburg Polytechnic University.

29 Politekhnicheskaya St., St. Petersburg, 195251

Scopus Author ID: 56542653500; Researcher ID: U-2377-2018



Review

For citations:


Popova N.V. Review of: Foreign Language Teaching Based on Artificial Intelligence Technologies: joint monograph of P.V. Sysoev, O.G. Polyakov, M.N. Evstigneev et al., academ. ed. by P.V. Sysoev, Tambov, Publishing House “Derzhavinsky”, 2023, 132 p. (In Russ.) ISBN 978-5-00078-732-8. Tambov University Review. Series: Humanities. 2023;28(3):737-740. (In Russ.) https://doi.org/10.20310/1810-0201-2023-28-3-737-740

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ISSN 1810-0201 (Print)
ISSN 2782-5825 (Online)