从NLP视角分析大模型在教育中的辅助与评估应用前景
Opportunities and Challenges of LLMs in Education: An NLP Perspective
- 按读、写、说、辅导四维度分析大模型教育应用
- 揭示大模型驱动的新方向与关键挑战
- 适合关注教育AI的NLP研究者参考
大型语言模型（LLMs）在教育领域的应用日益受到关注，因其为教学、学习和评估带来了新机遇。本文从辅助与评估两大应用场景出发，结合阅读、写作、口语和辅导四个维度，探讨了大模型对教育自然语言处理（NLP）的影响。文章进一步提出大模型带来的新研究方向，并梳理需解决的关键挑战。我们期待这一全面综述能为关注未来语言导向及基于NLP的教育应用的NLP研究人员与实践者提供有益参考。
原文摘要 · Abstract (English)
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.
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