The role of English language in the development of cognitive and linguistic skills of future engineers for Industry 5.0

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Abstract

the article discusses the issue of developing cognitive and linguistic skills of future engineers for hybrid working environments in Industry 5.0 while learning English for for professional purposes. The aim of this study is to offer a way to settle the argument between the need for future engineers to master English for effective interaction with AI services and reducing its learning period in technical universities. The study employs the methods of systematic analysis of recent scientific publications to reveal trends in teaching future engineers for Industry 5.0 a foreign language and to compare the results of a neural network service’s (chat.DeepSeek) responses to solve a practical task with a text query both in Russian and English languages. The findings provided a promising way of employing the prompt-engineering method to integrate cognitive, communicative and social aspects in teaching future engineers English for professional purposes. The success of this method is achieved by critical analysis of a neural network service responses taking into account the industry context, as well as by using it as a supplementary method to other existing methods (ICLHE, Project-Based Learning, Flipped Classroom). The practical relevance of this work is giving a recommendation to write a query both in Russian and English languages to minimise errors in interpretation, considering the industrial context and global trends. The results of this study may be useful for instructors of linguistic departments in technical universities to improve the efficiency of teaching future engineers within the digital transformation of education.

About the authors

I. S Volegzhanina

Siberian Transport University

ORCID iD: 0000-0002-5523-714X

References

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