CLASSIFICATION AND DIDACTIC POTENTIAL OF DIGITAL EDUCATIONAL TOOLS AIMED AT DEVELOPING ORAL SPEECH IN JAPANESE

Authors

  • Navruzjon Bakoev Lecturer at the Department of Uzbek and Oriental Languages, Namangan State Institute of Foreign Languages named after Is’hoqxon Ibrat

Keywords:

Japanese lingvodidactics, oral speech, digitalization, call, pitch accent, keigo, AI-chatbots, shadowing, communicative competence, pedagogy.

Abstract

This research investigates the classification and didactic potential of digital tools specifically designed to enhance Japanese oral proficiency. By analyzing technologies ranging from AI-driven speech recognition to immersive VR environments, the study establishes a systematic typology based on pedagogical functions. The findings highlight how digital integration mitigates phonetic and socio-cultural barriers, offering a framework for educators to optimize communicative competence through personalized, interactive, and feedback-rich learning ecosystems in modern Japanese linguistics.

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Published

2026-03-17

How to Cite

Navruzjon Bakoev. (2026). CLASSIFICATION AND DIDACTIC POTENTIAL OF DIGITAL EDUCATIONAL TOOLS AIMED AT DEVELOPING ORAL SPEECH IN JAPANESE. Ethiopian International Journal of Multidisciplinary Research, 13(03), 584–588. Retrieved from https://www.eijmr.org/index.php/eijmr/article/view/5611