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  • AI-driven innovative personalized learning to enhance Chinese pronunciation and grammar skills for university students

Sección IA: Inteligencia artificial Bibliografía

AI-driven innovative personalized learning to enhance Chinese pronunciation and grammar skills for university students

Jun Geng
Narueporn Wuttiphan
Jining Han
Parama Kwangmuang
2026
Language Teaching Research
https://journals.sagepub.com/doi/10.117…
artículo
estudio experimental
estudio empírico
enseñanza/aprendizaje de lenguas
inteligencia artificial
pronunciación
enseñanza/aprendizaje de la gramática
feedback/retroalimentación
educación superior
gramática
IA y enseñanza-aprendizaje de lenguas
estudio empírico

The acquisition of Chinese language skills presents significant challenges for non-native speakers, particularly in mastering tonal pronunciation and topic-prominent grammar structures. This study developed and evaluated an artificial intelligence driven (AI-driven) personalized learning system to enhance Chinese pronunciation and grammar skills among university students. Through a 16-week quasi-experimental study involving 60 undergraduate students in Thailand, we compared traditional classroom instruction with our AI system that provided real-time feedback, adaptive learning paths, and personalized practice opportunities. The experimental group utilizing the AI system demonstrated remarkable improvements compared to the control group across all tonal categories and grammatical structures. User satisfaction ratings were consistently high, and retention rates remained exceptional three months post-completion. This study’s findings establish new benchmarks for AI integration in language education, addressing the challenges of Chinese language acquisition. The system’s success in providing real-time feedback, adaptive instruction, and personalized learning pathways demonstrates its potential for transforming Chinese language instruction.

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