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Abstract
This study investigates the dynamics of Chinese language learning motivation and its relationship with cross-cultural adaptation among Japanese international students in AI-assisted learning environments. As artificial intelligence becomes increasingly integrated into modern language pedagogy, its profound impact extends far beyond basic linguistic skill development to significantly influence learners' psychological states and adaptive processes. Employing a comprehensive mixed-methods design, the research systematically examines how various AI tools-such as adaptive learning platforms, intelligent tutoring systems, and interactive conversational agents-affect core motivational constructs. These constructs include the L2 Motivational Self System, learner self-efficacy, and the overall digital learning experience. Data collected through structured quantitative surveys (N=152) and in-depth qualitative interviews (N=23) reveal that AI-assisted learning significantly enhances intrinsic motivation and academic adaptation. This improvement is achieved particularly through the provision of highly personalized feedback and the creation of low-pressure, anxiety-free practice opportunities. However, the empirical findings also indicate notable limitations in AI's current capacity to support deep sociocultural adaptation, thereby highlighting the technology's primary role as a supportive scaffold rather than a complete, standalone solution for complex intercultural adjustment. Ultimately, the study contributes to optimizing AI-driven teaching strategies in Chinese as a foreign language by emphasizing the critical need for a balanced integration of advanced technological tools with authentic human interaction and real-world cultural immersion. These valuable insights directly inform the future design of educational interventions that effectively support both linguistic proficiency and holistic intercultural competence development.
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