Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de lenguas

Resumen:

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...

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