创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (1): 8-10.

• 理论研究 • 上一篇    下一篇

人工智能技术提升课堂教学质量的有效性研究——基于“可见的学习”视角

任利峰   

  1. 吉林农业科技学院,吉林省吉林市 132101
  • 出版日期:2026-01-10 发布日期:2026-06-30
  • 作者简介:任利峰(1980—),男,吉林松原人,硕士研究生,讲师,研究方向:数据科学与大数据技术。
  • 基金资助:
    2024年度吉林省高教科研课题“人工智能技术提升课堂教学质量的有效性研究——基于‘可见的学习’视角”(JGJX24D0661)

Research on the Effectiveness of Artificial Intelligence Technology in Improving Classroom Teaching Quality—Based on the Perspective of “Visible Learning”

REN Lifeng   

  1. Jilin Agricultural Science and Technology University, Jilin City, Jilin Province, 132101, China
  • Online:2026-01-10 Published:2026-06-30

摘要: 该文基于约翰·哈蒂(John Hattie)“可见的学习”理论,通过混合研究方法,验证人工智能(AI)技术对课堂教学质量的影响路径,实验选取吉林农业科技学院电气与信息工程学院2023级数据科学与大数据专业2个班级,随机分为AI支持组与传统教学组,在Java语言程序设计课程中开展为期16周的教学实验,AI支持组部署HiTeach5智慧课堂系统,充分运用AI与教育大数据服务,提高教与学的质量,以增强“教学可见性”。

关键词: 人工智能, “可见的学习”, 教学质量, 机器学习, 多元化, 智慧课堂

Abstract: Based on John Hattie's theory of“visible learning”, this study uses a mixed research approach to verify the impact path of artificial intelligence (AI) technology on classroom teaching quality. The experiment selected two classes in the 2023 data science and big data major at the School of Electrical and Information Engineering, Jilin Agricultural Science and Technology University, and randomly divided them into an AI support group and a traditional teaching group. A 16 week teaching experiment was conducted in the Java language programming course. The AI support team will deploy the HiTeach5 smart classroom system, fully utilizing AI and educational big data services to improve the quality of teaching and learning, and enhance“teaching visibility”.

Key words: Artificial intelligence, “Visible learning”, Teaching quality, Machine learning, Diversification, Smart classroom

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