From red ink to algorithms: investigating the use of large language models in academic writing feedback
Abstract This paper explores the emerging role of large language models (LLMs) in academic feedback for student writing. It examines feedback provided by two human graders and two LLMs, ChatGPT-4.5 and Claude-3.7 Sonnet, on argumentative and reflective essays written by students from diverse linguis...
| 出版年: | Language Testing in Asia |
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| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
SpringerOpen
2025-10-01
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1186/s40468-025-00389-2 |