创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (21): 122-124.

• 模式探索 • 上一篇    下一篇

人工智能赋能应用型本科高校教学模式创新研究

郑义   

  1. 长春科技学院,吉林长春 130000
  • 出版日期:2025-11-10 发布日期:2026-05-14
  • 作者简介:郑义(1981—),女,吉林长春人,硕士研究生,副教授,研究方向:高校教学模式。
  • 基金资助:
    2024年吉林省高教科研课题“人工智能背景下应用型本科高校智慧教学模式构建研究”(JGJX24C193)

Research on the Innovation of Teaching Mode in Application Oriented Undergraduate Universities Empowered by Artificial Intelligence

ZHENG Yi   

  1. Changchun Sci-Tech University, Changchun Jilin, 130000, China
  • Online:2025-11-10 Published:2026-05-14

摘要: 为促进应用型本科高校教学模式的创新,该文探讨了人工智能技术在教学中的应用路径和效果。该文以应用型本科高校为研究对象,通过理论分析与实践案例相结合的方法,构建了人工智能赋能的教学模式框架,重点涵盖课前智能规划、课堂互动优化和课后个性化反馈3个关键阶段。研究结果表明:人工智能技术能够显著提高教学内容的适配性、课堂互动的效率以及学习反馈的精准度,推动教学质量全面提升。该文进一步提出优化课程设计、引入智能工具、强化评估反馈的创新策略,为应用型本科高校的教学模式改革提供了理论依据和实践参考。

关键词: 人工智能, 应用型本科, 高校, 教学模式, 教学创新, 教育智能化

Abstract: To promote innovation in the teaching mode of applied undergraduate universities, this article explores the application path and effectiveness of artificial intelligence technology in teaching. This article takes applied undergraduate universities as the research object, and through a combination of theoretical analysis and practical cases, constructs a teaching mode framework empowered by artificial intelligence, focusing on three key stages: intelligent planning before class, optimization of classroom interaction, and personalized feedback after class. The research results indicate that artificial intelligence technology can significantly improve the adaptability of teaching content, the efficiency of classroom interaction, and the accuracy of learning feedback, promoting the comprehensive improvement of teaching quality. This article further proposes innovative strategies for optimizing course design, introducing intelligent tools, and strengthening evaluation feedback, providing theoretical basis and practical reference for the teaching mode reform of applied undergraduate universities.

Key words: Artificial intelligence, Applied undergraduate program, Universities, Teaching mode, Teaching innovation, Intelligent education

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