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

TL;DR

This study demonstrates that integrating AI-driven social robots with real-life scenario simulations significantly improves engagement, motivation, and language learning outcomes for non-Chinese speaking students learning Cantonese.

Contribution

It introduces a novel AI-assisted language learning system, LiveBo, combining social robots and immersive scenarios to enhance Cantonese learning for NCS students.

Findings

Increased behavioral engagement among NCS students.

Enhanced motivation and emotional involvement.

Improved language proficiency scores.

Abstract

Language learning is a multifaceted process. Insufficient vocabulary can hinder communication and lead to demotivation. For non-Chinese speaking (NCS) students, learning Traditional Chinese (Cantonese) poses distinct challenges, particularly due to the complexity of converting spoken and written forms. 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 language learning system, LiveBo. The study aims to assess the impact of this innovative approach on active participation and motivation. Data are collected through proficiency tests, questionnaires and semi-structured interviews. Findings indicate that NCS students experience positive improvements in behavioural and emotional engagement, motivation and learning outcomes, highlighting the potential of integrating novel technologies in language education. We plan to compare with the control group in the future. This study highlights the significance of interactive and immersive learning experiences in promoting motivation and enhancing language acquisition among NCS students.