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Large Language Models for Education: <italic>A survey and outlook</italic>
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DOI：10.1109/MSP.2025.3594309.png)
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Abstract
En 中文
The advent of large language models (LLMs) has ushered in a new era of possibilities in the realm of education. This survey article summarizes recent progress in the application of LLMs in educational settings from multiple perspectives, including student and teacher assistance, adaptive learning, and commercial tools. Additionally, it systematically reviews technological advancements in each area, compiles related datasets and benchmarks, and identifies the risks and challenges associated with deploying LLMs in education. Furthermore, the article outlines future research opportunities, highlighting promising directions. This article aims to provide a comprehensive technological overview for educators, researchers, and policy makers to harness the power of LLMs, revolutionize educational practices, and foster a more effective personalized learning environment.
Keywords:
Large language models
Artificial intelligence
Education
Adaptive learning
Machine learning
Electronic learning
Signal processing
Chatbots
Educational courses
Surveys
Learning systems
Problem-solving
Journal
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9.6
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1.1W
Citations:
1.7W
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