Year: 2025
Type: article
Abstract: With the rapid rise of large language models like ChatGPT, generative AI (GenAI) is transforming language education. This study investigates prompt engineering in a college English writing course, showing how structured prompts scaffold the writing process. By aligning prompt types with stages of academic writing, the framework systematizes GenAI use and extends theories of scaffolding and meta-cognition. Findings indicate that prompts enhance engagement, support evidence-based argumentation, and enable recursive writing via real-time feedback. Compared with conventional teacher feedback, the model fosters autonomy, reflection, and frequent revisions, offering theoretical and practical insights for AI-supported L2 writing and sustainable English teaching.
Source: INTI JOURNAL.
Author: Yuchun Xie
Institution: Southwest Jiaotong University Hope College
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4416194336