创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (9): 138-140.

• 创新方法 • 上一篇    下一篇

AI赋能数字电子技术基础课程教学的路径探索

曾贤强, 杨富龙, 李恒杰, 魏腾飞   

  1. 兰州理工大学 自动化与电气工程学院,甘肃兰州 730050
  • 出版日期:2026-05-10 发布日期:2026-06-30
  • 作者简介:曾贤强(1978—),男,甘肃白银人,博士研究生,副教授,研究方向:综合能源系统,电子邮箱:zengxqlut@163.com。
  • 基金资助:
    2024年教育部产学合作协同育人项目“新工科背景下地方本科院校面向集成电路产业人才培养体系探索与实践”(231104194082630); 2024年度兰州理工大学研究生课程思政示范项目“‘嵌入式系统原理与应用’课程思政示范项目”(KCSZ-SF20242108)

Transformation Path and Practical Exploration of AI-Enabled Teaching of Fundamentals of Digital Electronics Technology

ZENG Xianqiang, YANG Fulong, LI Hengjie, WEI Tengfei   

  1. School of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou Gansu, 730050, China
  • Online:2026-05-10 Published:2026-06-30

摘要: 人工智能(AI)技术正驱动数字电子技术基础课程教学的系统性变革,该文提出“三维突破”转型框架:基于课程特点与AI技术的适配性,聚焦“以学生为中心”的核心目标,从学习路径、实验场景、教学管理3个维度构建智能化教学体系,实现从“标准化教学”向“个性化培养”、从“验证性实验”向“创新性实践”、从“经验型管理”向“数据驱动决策”的跨越。结果表明:AI技术能够显著提升学生的逻辑设计能力、实践创新能力和学习效率,为工程教育数字化转型提供参考。

关键词: 数字电子技术基础, 人工智能, 教学改革, 创新性实践, 数据驱动, 个性化培养

Abstract: Artificial intelligence (AI) technology is driving the systematic change of the teaching of fundamentals of digital electronics technology course. This paper proposes a“three-dimensional breakthrough”transformation framework: based on the adaptability of the course characteristics and AI technology, the teaching transformation focuses on the core goal of“student-centered”, and builds an intelligent teaching system from the three dimensions of learning paths, experimental scenarios, and teaching management to realize the transformation from“standardized teaching”to“standardized teaching”, from“standardized teaching”to“personalized training”and from“verification experiment”to“innovative practice”, from“experience-based management”to“data-driven decision-making”. The results show that AI technology can significantly improve students'logical design ability, practical innovation ability and learning efficiency, which provides a reference for the digital transformation of engineering education.

Key words: Fundamentals of digital electronics technology, Artificial intelligence, Teaching reform, Innovative practice, Data-driven, Personalized cultivation

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