How LLMs Support EFL Writing: A Case Study of K-12 English Learning Based on the EDIPT Model

研究成果: Conference contribution同行評審

摘要

Large Language Model (LLMs), the most stylish pre-trained language-agency model, has recently garnered unprecedented global attention. However, the rapid growth of LLMs’ exceptional performance in understanding and comprehending human language and completing various tasks conversationally has sparked debates regarding its educational implications and applications. Notably, it serves as a language consultant, companion, and assessment expert in Chinese English education, utilizing suggestions to enhance the quality of listening, speaking, reading, and writing instruction. This study is one of the initial efforts to explore the potential contribution of LLMs to the instruction and acquisition of writing English as a Foreign Language (EFL) in K-12. As a result, the study proposes a response strategy framework that combines the EDIPT model to promote and support future English learning development in K-12 education. Additionally, applying an LLMs can improve learning efficiency, reduce the teacher’s burden, and support large-scale personalized learning, the other side also brings challenges such as weakened learning motivation, less reliability of knowledge, and privacy and security issues. To enhance the writing abilities of EFL students for K-12, it is recommended that educators work alongside LLMs to provide feedback on students' writing in a generating.

原文English
主出版物標題IEIR 2024 - Proceedings of the 3rd International Conference on Intelligent Education and Intelligent Research
編輯Xinguo Yu, Hao Ming, Zhenquan Shen
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798331519827
DOIs
出版狀態Published - 2024
事件3rd International Conference on Intelligent Education and Intelligent Research, IEIR 2024 - Macau, China
持續時間: 6 11月 20248 11月 2024

出版系列

名字IEIR 2024 - Proceedings of the 3rd International Conference on Intelligent Education and Intelligent Research

Conference

Conference3rd International Conference on Intelligent Education and Intelligent Research, IEIR 2024
國家/地區China
城市Macau
期間6/11/248/11/24

指紋

深入研究「How LLMs Support EFL Writing: A Case Study of K-12 English Learning Based on the EDIPT Model」主題。共同形成了獨特的指紋。

引用此