Authors
- Chistova Elena V. Dr. Sc. (Philology), docent Russian Federation Moscow
Annotation
The paper refers to the pressing issue of mitigating dependence on artificial intelligence in online Chinese language learning through tasks incorporating controlled
autonomy. The author proposes a methodology aimed at minimizing the risks associated with the uncontrolled use of large language models, such as reduced cognitive load, weakened independent thinking, and the formation of an illusion of competence. The study employs a comprehensive set of methods: a survey of students and teachers, a pedagogical experiment involving 78 learners with varying levels of motivation, and an analysis of qualitative and quantitative speech parameters. The experimental group completed tasks with elements of controlled autonomy, including critical analysis of AI-generated texts, neural network prompting and methodological reflection. The control group followed a traditional approach with unrestricted access to AI. The results demonstrated the superiority of the proposed approach: the experimental group showed 35 % higher outcomes in material acquisition, vocabulary retention, proactivity, and the speed of communicative reactions. The novelty of the research lies in the development of a task system that transforms AI from a task-completion tool into a learning instrument that stimulates analytical
thinking and deep subject engagement. The findings confirm the effectiveness of controlled autonomy methods for developing speaking skills, critical thinking, and argumentation. This approach ensures objective assessment of students’ actual knowledge and fosters academic awareness. The practical significance of the study lies in the applicability of the developed task system to online Chinese language instruction for a Russian-speaking audience. The concepts of critical analysis of AI-generated content and the cultivation of students’ academic awareness offer valuable insights for contemporary language education in general.
How to link insert
Chistova, E. V. (2026). LIMITING ARTIFICIAL INTELLIGENCE DEPENDENCY IN ONLINE CHINESE LANGUAGE LEARNING THROUGH CONTROLLED AUTONOMY TASKS Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 2 (62), 222. https://doi.org/10.24412/2076-913X-2026-262-222-234
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