人工智能融入大学英语听力自主学习研究
A Study on the Integration of Artificial Intelligence into Self-Regulatory College English Listening Learning
DOI: 10.12677/ae.2026.16102089, PDF,    科研立项经费支持
作者: 倪 霓, 贾培培:中国矿业大学(北京)文法学院,北京
关键词: 听力理解;自主学习;人工智能;Listening Comprehension; Autonomous Learning; Artificial Intelligence
摘要: 随着人工智能时代的到来,各种人工智能工具层出不穷,深刻影响着教育领域的发展方向。本研究基于安德森(Anderson J.R.)听力理解“感知、解析、应用”三环节和齐默曼(Zimmerman B.J.)自主学习理论“前瞻、表现、反思”三阶段,构建了人工智能时代“三环三阶”大学英语听力自主学习模式。此外,本研究分层次分类别探讨了语音识别、机器翻译、虚拟现实、生成式人工智能等四类人工智能工具赋能“三环三阶”大学英语听力自主学习模式的实践路径,为人工智能时代大学英语听力教学的数智化转型提供理论探究和实践探索。
Abstract: With the arrival of the artificial intelligence era, a wide variety of AI tools have emerged, which is influencing the educational development profoundly. Based on Anderson J.R.’s three stages of listening comprehension (perception, parsing, and utilization) and Zimmerman B.J.’s self-regulatory processes (forethought, performance, and self-reflection phase), this study establishes a “three-stage three-phase” autonomous learning model for college English listening. Besides, this study also explores the practical pathways through which four types of AI tools can empower this autonomous learning model for listening. The four types of AI tools include speech recognition, machine translation, virtual reality, and generative artificial intelligence. This research has carried out both theoretical exploration and practical application for the digital transformation of college English listening teaching in the era of artificial intelligence.
文章引用:倪霓, 贾培培. 人工智能融入大学英语听力自主学习研究[J]. 教育进展, 2026, 16(10): 130-136. https://doi.org/10.12677/ae.2026.16102089

参考文献

[1] 教育部等五部门关于印发《“人工智能+教育”行动计划》的通知[EB/OL].
http://www.moe.gov.cn/srcsite/A16/s3342/202604/t20260410_1433240.html, 2026-04-08.
[2] 教育部高等学校大学外语教学指导委员会. 大学英语教学指南(2020版) [M]. 北京: 高等教育出版社, 2022.
[3] 孙佳林, 郑长龙. 自主学习能力评价的国际研究: 现状、趋势和启示[J]. 比较教育学报, 2021(1): 67-84.
[4] Zimmerman, B.J. (1986) Becoming a Self-Regulated Learner: Which Are the Key Subprocesses? Contemporary Educational Psychology, 11, 307-313.
https://doi.org/10.1016/0361-476x(86)90027-5
[5] 庞维国. 中小学学生自主学习的教学指导模式研究[D]: [博士学位论文]. 上海: 华东师范大学, 2001.
[6] 刘红霞, 李士平, 姜强, 赵蔚. 智能技术赋能自我调节学习的内涵转型、制约瓶颈与发展路径[J]. 远程教育杂志, 2020, 38(4): 105-112.
[7] 华璐璐, 陈琳, 孙梦梦. 人工智能促进英语学习变革研究[J]. 现代远距离教育, 2017(6): 27-31.
[8] Klimova, B., Pikhart, M., Benites, A.D., Lehr, C. and Sanchez-Stockhammer, C. (2023) Neural Machine Translation in Foreign Language Teaching and Learning: A Systematic Review. Education and Information Technologies, 28, 663-682.
https://doi.org/10.1007/s10639-022-11194-2
[9] 栾琳, 易滟青, 卢志鸿, 滕飞宇, 董艳. 虚拟现实环境对大学生英语词汇学习的有效性研究[J]. 外语电化教学, 2023(3): 93-99+126.
[10] 闵尚超, 方富民, 周颂波, 等. GenAI赋能的个性化自适应英语学习效果历时研究[J]. 外语界, 2025(5): 42-49.
[11] Anderson, J.R. (2020) Cognitive Psychology and Its Implications. 9th Edition, Worth Publishers.
[12] 李佳. 听力水平差异化学生听力三个阶段表现下的对比研究: 基于安德森听力理论的分析[D]: [博士学位论文]. 上海: 上海外国语大学, 2012.
[13] 丰玉芳. 听力理解过程三阶段理论及其对大学英语听力教学的启示[J]. 教育理论与实践, 2010, 30(24): 58-60.
[14] 丹尼尔·吉尔, 雷炳浩. 认知负荷模型在口译教学中的建构[J]. 翻译界, 2021(1): 1-24.
[15] 王建华, 李润美. “元宇宙”视域下基于虚拟现实技术的语言教学研究[J]. 外语电化教学, 2022(1): 40-47+107.
[16] 郑树棠. 新视野大学英语视听说教程[M]. 第4版. 北京: 外语教学与研究出版社, 2024: 23-24.