创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (8): 17-19.

• 理论研究 • 上一篇    下一篇

人工智能时代大学英语课堂教学评价体系的优化路径

杨静1, 张春雷2   

  1. 1.长春财经学院,吉林长春 130122;
    2.吉林金域医学检验所有限公司,吉林长春 130000
  • 出版日期:2026-04-25 发布日期:2026-06-30
  • 作者简介:杨静(1982—),女,吉林长春人,硕士研究生,副教授,研究方向:英语教学。
  • 基金资助:
    2025 年吉林省高教学会高教科研课题“AI赋能大学英语教学多元评价体系创新研究”(JGJX25D1033); 吉林省教育科学“十四五”规划2025年度一般课题“吉林省应用型高校大学英语教学数字化转型与个性化学习体系构建研究”(GH25420); 2025年度吉林省职业教育科研一般课题“数字赋能职业院校外语 ‘四维协同’教学模式构建的研究与实践”(2025XHY221)

Optimization Path of the Evaluation System for College English Classroom Teaching in the Era of Artificial Intelligence

YANG Jing1, ZHANG Chunlei2   

  1. 1. Changchun University of Finance and Economics, Changchun Jilin, 130122, China;
    2. Jilin KingMed Medical Laboratory Co., Ltd., Changchun Jilin, 130000, China
  • Online:2026-04-25 Published:2026-06-30

摘要: 人工智能时代,大学英语的教学模式和评价方法也应与时俱进、不断创新。该文提出依托先进的人工智能技术构建大学英语课堂教学评价体系,在选取多维度教学评价指标以及合理设定各指标权重的基础上,利用智能感知技术监测教学全过程,采集学生在课堂上的面部表情、眼动数据和语言行为,使用智能算法分析学生的学习行为并得出最终评价结果,为大学英语课堂教学优化提供帮助。

关键词: 人工智能, 大学英语, 教学评价, 智能感知, 学习行为分析, 多模态数据

Abstract: Entering the era of artificial intelligence, the teaching model and evaluation methods of college English should also be innovated in line with The Times. Relying on advanced artificial intelligence technology, a college English classroom teaching evaluation system should be constructed. On the basis of selecting multi-dimensional teaching evaluation indicators and reasonably setting the weights of each indicator, intelligent perception technology should be utilized to monitor the entire teaching process. Collect students'facial expressions, eye movement data and behavioral postures in class, use intelligent algorithms to analyze students'learning behaviors and obtain the final evaluation results, providing assistance for the optimization of college English classroom teaching.

Key words: Artificial intelligence, College English, Teaching evaluation, Intelligent perception, Analysis of learning behavior, Multimodal data

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