创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (9): 75-77.

• 教育改革与发展 • 上一篇    下一篇

软硬平衡、柔性定制的工科数学类课程教学体系改革

陈飞, 苑晶, 陈增强   

  1. 南开大学 人工智能学院,天津 300350
  • 出版日期:2025-05-10 发布日期:2025-08-25
  • 作者简介:陈飞(1982—),男,福建福州人,博士研究生,教授,研究方向:复杂网络和多智能体系统控制、估计与优化。
  • 基金资助:
    2023年国家自然科学基金重大研究计划培育项目“面向高柔性、高动态、高不确定性制造场景的分布式弹性控制与优化决策”(92367105)

Reform of Teaching System for Engineering Mathematics Course with Soft-Hard Balance and Flexible Customization

CHEN Fei, YUAN Jing, CHEN Zengqiang   

  1. College of Artificial Intelligence, Nankai University, Tianjin, 300350, China
  • Online:2025-05-10 Published:2025-08-25

摘要: 随着人工智能技术的快速发展,传统教学方法面临着新的挑战和机遇。该文以南开大学微分方程与复变函数课程为例,探讨了工科数学类课程教学体系改革,以实现软硬平衡和柔性定制的教学策略。该文通过引入基于人工智能的教学工具和方法,结合线上线下混合式教学,改进课程内容,并在教学过程中注重理论与实际应用的结合。教学改革不仅能够提升学生对课程内容的理解和应用能力,还有助于增强学生的批判性思维和团队合作能力。未来的研究将继续关注教学方法的优化和调整,力求在更广泛的教育场景中推广应用,以培养适应未来工作环境的高素质工程技术人才。

关键词: 教学改革, 自动化, 人工智能, 人才培养, 柔性定制, 软硬平衡

Abstract: With the rapid development of artificial intelligence technology, traditional teaching methods are facing new challenges and opportunities. This paper uses the differential equations and complex variables course at Nankai University as an example to explore the reform of engineering mathematics course teaching systems, aiming to achieve a soft-hand balance and personalized teaching strategies. To meet modern educational needs, this paper introduces AI-based teaching tools and methods, combined with blended online and offline teaching, to improve course content and focus on integrating theory with practical application during the teaching process. This reform not only hopes to enhance students'understanding and application abilities of course content but also aims to strengthen their critical thinking and teamwork skills. Future research will continue to focus on optimizing teaching methods and adjustments, promoting application in a broader educational context to cultivate high-quality engineering and technical talent adapted to future work environments.

Key words: Teaching reform, Automation, Artificial intelligence, Talent cultivation, Flexible customization, Soft-hard balance

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