创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (5): 39-41.

• 教学革新 • 上一篇    下一篇

面向大模型赋能的数字图像处理课程教学改革

郭磊1,2, 任时磊1,2, 梁志剑1,2, 王彦博1,2, 孙福盛1,2   

  1. 1.中北大学 计算机科学与技术学院,山西太原 030051;
    2.中北大学 国家级计算机及应用虚拟仿真实验教学中心,山西太原 030051
  • 出版日期:2026-03-10 发布日期:2026-07-01
  • 作者简介:郭磊(1990—),男,山西晋城人,博士研究生,讲师,研究方向:计算机视觉与增量学习。
  • 基金资助:
    山西省高等学校教学改革创新项目“基于‘知识图谱’的高校二级学院教学质量监控体系构建的研究与实践”(J20240839)

Teaching Reform of Digital Image Processing Course Empowered by Large Models

GUO Lei1,2, REN Shilei1,2, LIANG Zhijian1,2, WANG Yanbo1,2, SUN Fusheng1,2   

  1. 1. School of Computer Science and Technology, North University of China, Taiyuan Shanxi, 030051, China;
    2. National Virtual Simulation Experiment Teaching Center for Computer Science and Application, North University of China, Taiyuan Shanxi, 030051, China
  • Online:2026-03-10 Published:2026-07-01

摘要: 随着人工智能技术的不断发展,大模型构建也进入了新的发展阶段,开展数字化教育活动,是顺应时代发展推进教育创新的重要举措之一,在我国现代化教育建设中具有重要意义。该文着眼于大模型时代数字图像处理课程教学改革面临的各项挑战,推出以“综合性项目驱动”和“AI助教深度融合”为核心的双轮驱动改革,凭借设计综合性项目,将教学关键从代码实现移至需求分析、系统集成、调试修整与结果评估,切实增强工程实践水平。

关键词: 大模型, 人工智能, 数字图像处理, 教学改革, 实践应用, 考核评价

Abstract: With the continuous development of artificial intelligence technology, the construction of large models has also entered a new stage of development. Conducting digital education activities is one of the important measures to promote educational innovation in line with the development of the times, and has significant importance in China's modern education construction. This article focuses on the various challenges faced by the teaching reform of digital image processing courses in the era of big models, and proposes a dual wheel drive reform with“comprehensive project driven”and“deep integration of AI teaching assistants”as the core. By designing comprehensive projects, the teaching key is shifted from code implementation to requirement analysis, system integration, debugging and adjustment, and result evaluation, effectively enhancing the level of engineering practice.

Key words: Large model, Artificial Intelligence, Digital image processing, Reform in teaching, Practical application, Performance evaluation

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