Abstract
Although the flipped classroom model has gained increasing attention in international Chinese language education, its implementation in Vietnam still faces challenges related to self-study supervision, personalized feedback, and interaction quality. This study proposes an AI-integrated smart flipped classroom framework to address these limitations. A five-week pedagogical experiment was conducted with 30 students at the People’s Security Academy, comparing an AI-assisted experimental group with a traditional control group. The results show that the experimental group made greater progress across all assessed dimensions. The findings indicate that AI can not only mitigate the limitations of the conventional flipped classroom model but also optimize pedagogical processes through personalized feedback and enhanced interaction. This approach offers a promising direction for innovating and improving the quality of Chinese language education in Vietnam’s digital era.

Keywords: AI-assisted instruction, experimental study, flipped classroom, international Chinese language teaching, Vietnamese students.