AI赋能食品微生物检验技术课程教学改革探索与实践

Research and Practice on Teaching Reform of Food Microbiological Inspection Technology Empowered by Artificial Intelligence

摘要: 立足首都食品产业智能化升级与检测人才的转型需求，针对食品检验检测技术专业学生实操基础扎实、AI应用能力不足的问题，以《食品微生物检验技术》课程为对象，依托食品营养与安全产教融合共同体与校企合作资源，融合生成式人工智能、虚拟仿真等数字技术，构建“产业引领、三阶淬炼”教学体系。紧扣“识规范、练绝活、扛使命”三维培养目标，践行AI + CDIO教学思路，搭建四训递进教学流程与数字化多元评价体系，实现岗课赛证融合与课程思政全程嵌入。为期16周教学实践，面向72名食品检验检测技术专业大二学生显示，学生课程均分、AI辅助快检准确率、1 + X证书通过率，以及企业岗位优良胜任率均有显著提升。该改革化解高危实训受限、新技术落地困难、岗培脱节等难题，为同类课程数字化教改提供借鉴。

Abstract: Against the background of intelligent upgrading and talent transformation in Beijing’s food industry, this study takes the course “Food Microbiological Inspection Technology” as the research object. Aiming at the problem that students majoring in food inspection and testing have solid operational skills but insufficient AI application capabilities, this paper relies on the industry-education integration community for food nutrition and safety as well as school-enterprise cooperation resources. By integrating generative artificial intelligence, virtual simulation and other digital technologies, an industry-oriented teaching system featured with three-stage training is constructed. Following the three cultivation objectives of mastering standards, mastering professional skills and shouldering professional missions, the teaching philosophy of AI + CDIO is implemented. A four-step progressive teaching process and digital multi-dimensional evaluation system are established, which realizes the in-depth integration of posts, courses, competitions, certificates and whole-course curriculum ideological and political education. The results of a 16-week teaching practice involving 72 second-year students show that the students’ average score, the accuracy rate of AI-assisted rapid detection, the pass rate of 1 + X vocational certificates, and the excellent competency rate evaluated by enterprises have all improved significantly. A paired-sample t-test was employed to verify the significance of the improvements. This teaching reform effectively solves the difficulties such as restricted high-risk practical training, slow application of new technologies and disconnection between training and job requirements, and provides references for the digital teaching reform of similar courses.