Interest in the role of large language models (LLMs) in education is increasing, considering the new opportunities they offer for teaching, learning, and assessment. In this paper, we examine the impact of LLMs on educational NLP in the context of two main application scenarios: {\em assistance} and {\em assessment}, grounding them along the four dimensions -- reading, writing, speaking, and tutoring. We then present the new directions enabled by LLMs, and the key challenges to address. We envision that this holistic overview would be useful for NLP researchers and practitioners interested in exploring the role of LLMs in developing language-focused and NLP-enabled educational applications of the future.
Opportunities and Challenges of LLMs in Education: An NLP Perspective
Sowmya Vajjala,Bashar Alhafni,Stefano Bannò,Kaushal Kumar Maurya,Ekaterina Kochmar
Published 2025 in arXiv.org
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- Publication year
2025
- Venue
arXiv.org
- Publication date
2025-07-30
- Fields of study
Linguistics, Computer Science, Education
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