Journal of Biology ›› 2026, Vol. 43 ›› Issue (1): 107-.doi: 10.3969/j.issn.2095-1736.2026.01.107

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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

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 This paper aimed at addresses the deficiencies in the traditional food analysis experiment course, such as outdated content, single teaching formats and one-sided assessment mechanisms.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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