Applied Pedagogical Frameworks for AI and Multimedia Integration in University Slavic Linguistics

Abstract

The ongoing digital shift in academic environments requires a fundamental revision of traditional instructional frameworks in Slavic philology, particularly in how complex linguistic structure, phonetic nuance, and stylistic textual analysis are conveyed to university students. This paper presents a specialised pedagogical framework that integrates artificial intelligence applications and digital media tools directly into higher-level instruction in Slavic language, phonetics, and stylistics. Employing a descriptive-evaluative design alongside practical observation, historical-comparative textual methods, and practice-based insights from long-standing academic practice in East Slavic linguistics, the investigation analyses the relationship between algorithmic tools and classical philological methodology. The study shows that adding multimedia and AI text tools to the curriculum helps students build stronger analytical skills, improve their pronunciation, and better understand writing styles – all while maintaining strict academic standards. This research delivers a practical, instructor-led model. It demonstrates that technology can modernise classical philology while strictly preserving academic integrity, textual accuracy, and rigorous linguistic analysis.