Unlocking the Power of Speech: Game-Based Accent and Oral Communication Training for Immigrant English Language Learners via Large Language Models
Yijun Zhao, Jiangyu Pan, Jiacheng Cao, Jiarong Zhang, Yan Dong, Yicheng Wang, Preben Hansen, Guanyun Wang
Abstract
With the growing number of immigrants globally, language barriers have become a significant challenge, particularly for those entering English-speaking countries. Traditional language learning methods often fail to provide sufficient practical opportunities, especially for diverse accents. To address this, we introduce Language Urban Odyssey (LUO), a serious game that leverages large language models (LLMs) and game-based learning to offer a low-cost, accessible virtual environment for English learners. Built on the Minecraft platform, LUO offers real-time speech interaction with NPCs of various accents, supported by multi-modal feedback. A controlled study (N=30) showed improvements in speaking abilities, accent comprehension, and emotional confidence. Our findings suggest that LUO provides a scalable, immersive platform that bridges gaps in language learning for immigrants facing cultural and social challenges.
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