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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Innovative Methods of Teaching Russian Language to National Groups in Higher Education Institutions for Students Specializing in Food Industry Technologies

Authors: Nurmatov Farxod Choriyevich;

Innovative Methods of Teaching Russian Language to National Groups in Higher Education Institutions for Students Specializing in Food Industry Technologies

Abstract

Teaching the Russian language to national groups in higher education institutions, particularly for students specializing in food industry technologies, requires innovative and adaptive methods to address linguistic, cultural, and professional challenges. This article explores modern pedagogical approaches tailored to enhance Russian language proficiency among diverse student groups in technical fields. By integrating technology-driven tools, interdisciplinary content, and culturally responsive strategies, these methods aim to foster effective communication skills relevant to the food industry. The study highlights the importance of contextualized learning, incorporating real-world applications such as food technology terminology, cross-cultural collaboration, and digital platforms like virtual simulations and language apps. Additionally, it examines the role of project-based learning, gamification, and immersive environments in increasing student engagement and retention. The findings suggest that combining linguistic instruction with professional and cultural contexts significantly improves language acquisition and prepares students for globalized food industry careers.

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Keywords

Russian language teaching, innovative pedagogy, food industry technologies, higher education, national groups, culturally responsive teaching, technology-enhanced learning, project-based learning, gamification, language acquisition

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green