创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (8): 20-24.

• 理论研究 • 上一篇    下一篇

人工智能赋能教学督导评价的研究与实践

吉朝明   

  1. 四川交通职业技术学院,四川成都 611130
  • 出版日期:2025-04-25 发布日期:2025-05-30
  • 作者简介:吉朝明(1985—),男,四川丹棱人,硕士研究生,副教授,研究方向:教育数字化、软件技术
  • 基金资助:
    西华师范大学—四川省教育厅人文社会科学研究基地:成渝地区教育与经济社会协同发展研究中心课题“成渝地区高职院校教学数字化转型的研究与实践”(CYJXF24040); 四川省高等学校人文社会科学重点研究基地:教育数字化与终身学习研究中心资助课题“人工智能赋能课堂教学诊断与改进的应用研究”(DELL2024YB-10); 重庆市人文社科重点研究基地交通文化研究中心开放性课题“‘两路’精神文化资源数字化共享平台建设研究”(2024CTCR09); 四川省高等教育学会2024年教育信息化研究资助课题“人工智能赋能课堂教学质量分析的研究与实践”

Research and Practice on Empowering Teaching Supervision and Evaluation with Artificial Intelligence

JI Chaoming   

  1. Sichuan Vocational and Technical College of Communications, Chengdu Sichuan, 611130, China
  • Online:2025-04-25 Published:2025-05-30

摘要: 人工智能技术正快速为各行各业所应用,对教育的发展将产生深远的影响。针对传统课堂教学督导评价中存在的数据支撑度小、忽视过程监控、信息反馈不及时等问题,该文以课堂教学为核心,通过利用计算机视觉、关联分析建模等多种人工智能与数据分析技术,构建了AI(人工智能)教学督导评价系统。该系统能够采集课堂教学音频、视频数据进行智能分析,综合利用多元评价数据,对课堂教学质量进行多维量化分析与可视化展示,并提供教学改进建议。该系统的探索和实施能有效促进教学督导评价的创新,不断提升人才培养质量,助力教师专业成长。

关键词: 人工智能, 赋能, 课堂教学, 教学督导, 评价分析, 研究实践

Abstract: Artificial intelligence technology is rapidly being applied in various industries and will have a profound impact on the development of education. In response to the problems of low data support, neglect of process monitoring, and untimely information feedback in traditional classroom teaching supervision and evaluation, this article focuses on classroom teaching and constructs an AI (Artificial Intelligence) teaching supervision and evaluation system by utilizing various artificial intelligence and data analysis technologies such as computer vision and correlation analysis modeling. The system is capable of collecting classroom teaching audio and video data for intelligent analysis, comprehensively utilizing multiple evaluation data, conducting multidimensional quantitative analysis and visual display of classroom teaching quality, and providing teaching improvement suggestions. The exploration and implementation of this system can effectively promote the innovation of teaching supervision and evaluation, continuously improve the quality of talent cultivation, and help teachers'professional growth.

Key words: Artificial intelligence, Empowerment, Classroom teaching, Teaching supervision, Evaluation analysis, Research Practice

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