The article presents a comprehensive analysis of the effectiveness of the use of generative artificial intelligence (AI) technologies in language education using the example of learning the Kazakh language. In an environment where the dominance of English in AI development creates risks of digital exclusion for many languages of the world, Kazakhstan demonstrates a strategic approach to creating a sovereign national AI ecosystem. The research covers all levels of this ecosystem: from fundamental developments, such as the Large Language Model (LLM) Kaz-LLM, to applied learning tools and platforms (for example, Janymda, Qonzhyq App, Talkio AI). Thepaper systematizes the pedagogical principles of using generative AI in language teaching, including personalization, interactivity, and feedback automation. Based on these principles, a critical assessment of the functionality and pedagogical potential of existing Kazakhstani applications is carried out. The key findings of the study show that Kazakhstan has developed a unique AI infrastructure, supported at the state and corporate levels, which is a response to the global challenge for low-resource languages. Existing applications successfully implement basic didactic functions, increasing students' motivation and engagement. However, there is a gap between the technological potential of the fundamental models and the current implementation in applied solutions, especially in the field of deep adaptive personalization and the transfer of cultural nuances. In conclusion, it is emphasized that the purposeful development and pedagogically competent implementation of these technologies opens up transformational opportunities for the preservation, popularization and enhancement of the status of the Kazakh language in the global digital space.
Serzhankyzy et al. (Wed,) studied this question.