Empowering Non-Chinese Speaking Students through AI-Driven Real-Life Scenarios in Cantonese

• In Event: AERA Poster Session Sunday 11:45 am
  In Poster Session: Technology, Instruction, Cognition, and Learning SIG Poster Session

Abstract

Language learning is a multifaceted process. Insufficient vocabulary can hin- der communication and lead to demotivation. For non-Chinese speaking (NCS) students, learning Traditional Chinese (Cantonese) poses distinct challenges. To address this issue, this study examines the effectiveness of real-life scenario simulations integrated with interactive social robots in enhancing NCS student engagement and language acquisition. The research employs a quasi-experimental design involving NCS students who interact with an AI-driven, robot-assisted lan- guage learning system, LiveBo. Findings indicate that NCS students experience positive improvements in behavioural and emotional engagement, motivation and learning outcomes. This study highlights the significance of interactive and immersive learning experiences in promoting motivation and enhancing language acquisition among NCS students.

Authors

• Ka Yan Fung, The Education University of Hong Kong

• Kwong Chiu Fung, Hong Kong University of Science and Technology

• Yuxing Tao, The Education University of Hong Kong

• Tze Leung Lui, The Education University of Hong Kong

• Kuen Fung Kenneth Sin, The Education University of Hong Kong