文献类型：期刊文献

中文题名：人工智能支持的高校英语教学有效性行动研究

英文题名：An Action Research of the Effectiveness of English Teaching with AI Support in Universities

作者：王陈欣[1];彭丽华[2];姜霞[3]

机构：[1]华东理工大学外国语学院,上海200237;[2]上海外国语大学上海全球治理与区域国别研究院,上海201620;[3]上海外国语大学国际教育学院,上海201620

年份：2026

卷号：42

期号：1

起止页码：210

中文期刊名：外国语文

外文期刊名：Foreign Languages and Literature

收录：;北大核心:【北大核心2023】；

基金：上海市教育科学研究项目“教育数字化转型背景下我国高校外语教师TPACK重构研究”(C2024087);上海高校市级重点课程项目“文学翻译”;上海外国语大学导师引领计划“数字化转型背景下的欧洲一流大学人才培养模式研究”(2023DSYL017)的阶段性研究成果。

语种：中文

中文关键词：人工智能;英语教学;有效性;行动研究

外文关键词：artificial intelligence;English teaching;effectiveness;action research

摘要：当前,我国正积极推动外语教育的数字化转型。人工智能虽被证实有助于提升英语教学效果,但已有研究多关注技术赋能结果,对其支持教学创新的过程性特征关注不足。如何借助人工智能提升英语教学的有效性,成为外语教育领域亟待解决的关键问题。为此,本研究以支架式教学和ADDIE模型为理论依据,深入国内一所双一流外语类高校(以下简称S高校),围绕智能翻译教学平台支持的英语教学开展三轮行动研究。通过分析课堂观察、半结构式访谈及研讨记录等数据,研究发现教师通过持续的教学实践、调研与反思,能够逐步构建并完善“技术支持+教师干预+同伴协作”的三支架教学设计,从而显著提升人工智能支持的英语教学效果。该研究为理解技术与教学深度融合的过程机制提供了实证依据,并为推动高校英语教学数字化转型提供了实践参考。
China is actively promoting the digital transformation of foreign language education.Although artificial intelligence has been shown to enhance the effectiveness of English teaching,existing research has predominantly focused on the outcomes of technological empowerment,paying insufficient attention to the procedural characteristics of technology-supported teaching innovation.How to improve the effectiveness of English teaching with AI support has thus become a key issue to be addressed in foreign language education.To this end,grounded in scaffolded instruction and the ADDIE model,this study conducted three rounds of action research on English teaching supported by an intelligent translation platform in a first-class foreign language university in China.Through the analysis of data from classroom observations,semi-structured interviews,and seminar records,the research finds that teachers,through continuous teaching practice,investigation,and reflection,can progressively develop and refine a three-scaffold instructional design comprising"technical support,teacher intervention,and peer collaboration,"thereby significantly enhancing the effectiveness of AI-supported English teaching.This study provides empirical evidence for understanding the process mechanism of deep integration between technology and teaching,and offers practical insights for advancing the digital transformation of English teaching in higher education.