AI Tutor: Solution for Chinas Disadvantaged and Under-resourced Children

This paper discusses educational disparities in China between urban and rural children (migrant and left-behind children) and proposes AI tutors like ChatGPT-based Khanmigo as potential solutions to bridge the educational gap, though it does not present original evaluation research or benchmarks.

This academic paper delves into the pressing issue of educational disparities in China, particularly focusing on the challenges faced by disadvantaged and under-resourced children, including both migrant and left-behind children. The paper underscores the socioeconomic and geographical complexities that exacerbate these disparities, emphasizing the need for innovative solutions. It then introduces the transformative potential of AI tutors, leveraging recent advancements in large language models

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