Assessing Large Language Models in Children's Education in Low-Resource Settings: Opportunities and Challenges
Ibomoiye Domor Mienye · George Obaido · Thabisile Obi
Abstract
Large language models (LLMs) offer scalable and adaptive learning solutions for children's education in low-resource settings. While they enhance engagement and accessibility, challenges such as bias, privacy risks, and infrastructure limitations remain. This paper reviews and highlights key issues and proposes strategies to ensure equitable and effective AI-driven education.
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