Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges

This paper provides a comprehensive survey of LLM capabilities relevant to education (mathematics, writing, programming, reasoning, and question-answering), evaluating their current state and proposing architectures (unified and mixture-of-experts) for building LLM-based educational systems. It reviews existing research on LLMs in education but does not present a new benchmark or evaluation dataset.

Online education platforms, leveraging the internet to distribute education resources, seek to provide convenient education but often fall short in real-time communication with students. They often struggle to address the diverse obstacles students encounter throughout their learning journey. Solving the problems encountered by students poses a significant challenge for traditional deep learning models, as it requires not only a broad spectrum of subject knowledge but also the ability to underst

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