Training of staff for the use of artificial intelligence in foreign language teaching

The article addresses the issue of developing foreign language teachers in the field of artificial intelligence integration. Artificial intelligence is part of the IT tradition and has significant potential to change the educational process, for example doing routine activities or giving feedback to students. Artificial intelligence technologies such as speech and text generation, machine translation, linguistic corpora, etc. are used in foreign language teaching. However, some studies show that only a small part of teachers are ready and willing to use artificial intelligence in their teaching practices. To raise awareness about the didactic potential of artificial intelligence, a special teacher training course was developed at the Faculty of Foreign Languages and Area Studies of Moscow State University in 2023. The main goal of the course “Pre-trained generative neural networks in foreign language teaching” is to develop professional methodological competence and practical skills for working with intelligent learning systems. During the course, currently used artificial intelligence technologies are analyzed. 151 teachers from different regions of Russia took part in the course, after which some of them took a survey about their attitude towards educational material. Respondents appreciated the theoretical foundation and practical skills for giving presentations, evaluating student work, and more.

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Publication Details

Journal
Moscow University Bulletin Series 19 Linguistics and Intercultural Communication
Published
2025-04-07
DOI
https://doi.org/10.55959/msu-2074-1588-19-28-1-5
Citations
7
Primary Topic
Foreign Language Teaching Methods
Type
article
Field-Weighted Citation Impact
62.48
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article

Training of staff for the use of artificial intelligence in foreign language teaching

Inna Vladimirovna Kharlamenko, Svetlana Titova
7 citations
Moscow University Bulletin Series 19 Linguistics and Intercultural Communication
Foreign Language Teaching Methods
62.48
article

Training of staff for the use of artificial intelligence in foreign language teaching

Inna Vladimirovna Kharlamenko, Svetlana Titova
article en
7 citations

Abstract

The article addresses the issue of developing foreign language teachers in the field of artificial intelligence integration. Artificial intelligence is part of the IT tradition and has significant potential to change the educational process, for example doing routine activities or giving feedback to students. Artificial intelligence technologies such as speech and text generation, machine translation, linguistic corpora, etc. are used in foreign language teaching. However, some studies show that only a small part of teachers are ready and willing to use artificial intelligence in their teaching practices. To raise awareness about the didactic potential of artificial intelligence, a special teacher training course was developed at the Faculty of Foreign Languages and Area Studies of Moscow State University in 2023. The main goal of the course “Pre-trained generative neural networks in foreign language teaching” is to develop professional methodological competence and practical skills for working with intelligent learning systems. During the course, currently used artificial intelligence technologies are analyzed. 151 teachers from different regions of Russia took part in the course, after which some of them took a survey about their attitude towards educational material. Respondents appreciated the theoretical foundation and practical skills for giving presentations, evaluating student work, and more.

Moscow University Bulletin Series 19 Linguistics and Intercultural CommunicationVol. 28(№1, 2025)
Lomonosov Moscow State University (RU), Moscow State University (TJ)
Openalex Percentile: Top 0%
Foreign Language Teaching Methods
62.48
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Training of staff for the use of artificial intelligence in foreign language teaching — Inna Vladimirovna Kharlamenko, Svetlana Titova · Moscow University Bulletin Series 19 Linguistics and Intercultural Communication (2025) | TGRS Research Map | TGRS