AI-powered Collaborative Activities for Chinese Vocabulary Learning

In recent years, Artificial Intelligence (AI) has significantly increased in digital second language (L2) learning, particularly in supporting vocabulary acquisition. However, research on how AI might facilitate collaborative vocabulary learning is still in its new stage. This study works on investigating the effectiveness of AI-recommended contexts in fostering collaborative language learning among young learners. The research employed a self-developed AI-empowered Chinese vocabulary learning system called ARCHe, which was implemented in primary schools in Singapore. A mixed-methods case study approach was conducted with the 2nd-grade students who spoke English as their first language. Preliminary findings indicate that learning Chinese with ARCHe effectively enhances the academic performance of young learners, with the AI-empowered self-generated contexts feature exhibiting a positive impact on collaborative language learning performance. The study offers insights into the integration of AI in digital language learning, with the potential to enhance L2 learning outcomes for young learners.