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February 19, 2026Russian Language Journal0 citations

Introduction to the First Thematic Issue: Artificial Intelligence (AI) & Machine Translation in the Teaching of Slavic Languages and Literatures

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LKLiudmila Klimanova

Key Points

  • The central aim is to examine the integration of AI and machine translation in Slavic language education and its broader implications for pedagogy.
  • Synthesizing contributions related to AI and machine translation in language teaching.
  • Investigating the use of chatbots for genre-based writing and conversation.
  • Designing context-aware conversational agents for specific Slavic languages.
  • Applying AI for critical literacy and literature/media analysis.
  • AI integration prompts a reevaluation of authorship and assessment in language education.
  • Context-aware agents are noted for both their benefits and potential inaccuracies.
  • AI fosters critical literacy and enhances proficiency assessment.
  • Collaborative learning models and literature analysis using AI show promising pedagogical applications.

Abstract

This editorial introduction frames Russian Language Journal’s first thematic issue on artificial intelligence (AI) and machine translation in the teaching of Russian and other Slavic languages, literatures, and cultures. It argues that the rapid spread of large language models makes AI impossible to treat as an optional add-on, pushing educators to revisit authorship, genre, literacy, and assessment while avoiding both moral panic and “quick-fix” approaches. The article synthesizes contributions that (1) integrate chatbots into genre-based writing and conversational practice while emphasizing critical AI literacy; (2) design context-aware conversational agents for Russian and Bosnian/Croatian/Serbian, noting pedagogical benefits alongside risks such as inaccuracies and flattened language; (3) use AI to interrogate proficiency and foster critical literacy; and (4) apply AI to literature and media analysis, including “glitch” readings and collaborative learning-lab models. It also highlights the new Digital Resources Corner and summarizes regular-section studies on Russian pragmatics and case instruction.

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Cite This Study

Liudmila Klimanova (2024) studied this question.

synapsesocial.com/papers/6996a82decb39a600b3ee9f8https://doi.org/10.70163/2831-9737.1521
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