生物学杂志

生物学杂志 ›› 2026, Vol. 43 ›› Issue (1): 107-.doi: 10.3969/j.issn.2095-1736.2026.01.107

• 教学研究 • 上一篇    下一篇

数智融合驱动下食品分析课程“教—学—评”改革路径探索

段　诺， 吴世嘉， 王周平
  

  1. 江南大学 食品学院， 无锡 214122
  • 出版日期:2026-02-18 发布日期:2026-02-27
  • 通讯作者: 段诺，博士，校聘教授，研究方向为食品安全检测与控制，E-mail：duannuo@jiangnan.edu.cn
  • 基金资助:
    国家自然科学基金面上项目（32272449）； 江苏省高等教育教改研究项目（2023JSJG289）

Exploration of the reform path of “teaching-learning-evaluation” in food analysis courses driven by digital and intelligent technology integration

 DUAN Nuo, WU Shijia, WANG Zhouping   

  1. School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
  • Online:2026-02-18 Published:2026-02-27

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摘要： 信息技术的快速发展和智能化应用的普及，促使数智融合逐渐成为新工科背景下教育改革的主要趋向。本文针对传统食品分析实验课程中存在的内容陈旧、教学形式单一、考核机制片面等不足，以培养复合型、创新型食品专业人才为目标，从课程内容重构、教学模式创新、考核体系优化三方面进行改革。采用数字孪生、虚拟仿真等工具，构建“理论—虚拟—实操—创新”四位一体教学体系。实践证明，该“教—学—评”一体化改革模式有效提升了学生实验技能、科研思维和创新能力，为食品行业培养适合新时代需求的高素质应用型人才奠定了坚实基础。

关键词: 新工科, 数智融合, 复合型人才, 数字教育, 创新能力

Abstract: The rapid development of information technology and the popularization of intelligent applications have made the integration of digital and intelligent technologies a key trend in educational reform within the context of new engineering disciplines. This paper aimed at addresses the deficiencies in the traditional food analysis experiment course, such as outdated content, single teaching formats and one-sided assessment mechanisms. It conducted reforms in three aspects: course content reconstruction, teaching mode innovation, and assessment system optimization to cultivate compound and innovative food professionals. By adopting digital intelligence tools such as digital twins, virtual simulation experiments, and AI experimental assistants, a four-in-one teaching system of “theory-virtual-practical operation-innovation” was established. This integrated reform model of “teaching-learning-evaluation” effectively enhanced students’ experimental skills, scientific research thinking, and innovation abilities, laying a solid foundation for cultivating high-quality applied talents that meet the needs of the new era in the food industry.

Key words: new engineering, digital-intelligence integration, interdisciplinary talent, digital education, innovation ability

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