Poster
in
Workshop: Workshop on AI for Children: Healthcare, Psychology, Education
Assessing Large Language Models in Children's Education in Low-Resource Settings: Opportunities and Challenges
Ibomoiye Domor Mienye · George Obaido · Thabisile Obi
Keywords: [ Low-Resource Learning ] [ LLMs ] [ Children's Education ] [ Ethical AI in Education ]
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.