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

Yi Dai, Qianhui Panghe, Yunfeng Zhang, Ming Zhang, Xiao Shu Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationIEIR 2024 - Proceedings of the 3rd International Conference on Intelligent Education and Intelligent Research
EditorsXinguo Yu, Hao Ming, Zhenquan Shen
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331519827
DOIs
Publication statusPublished - 2024
Event3rd International Conference on Intelligent Education and Intelligent Research, IEIR 2024 - Macau, China
Duration: 6 Nov 20248 Nov 2024

Publication series

NameIEIR 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
Country/TerritoryChina
CityMacau
Period6/11/248/11/24

Keywords

  • EDIPT model
  • EFL
  • English education
  • LLMs
  • teaching research

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