Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Emotional disengagement has attracted considerable attention in educational research, particularly research on online learning environments. Negative emotions can narrow learners’ attentional focus and suppress spoken output, making it difficult for teachers to gauge students’ actual oral abilities. This study investigates whether real-time recognition of learners’ facial emotions, combined with targeted questioning strategies, can foster more positive affect during synchronous online second language (L2) classes. Using a multitask convolutional neural network (MTCNN) for face detection and the VGGFace model for expression classification, we captured seven emotions from 61 Chinese undergraduates during one-on-one online interactions. Each teacher question was coded for type, mood, and subject pronoun. The results extend research on...

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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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