The Exploration of Artificial Intelligence ( AI ) Empowering Food Chemistry Curriculum Design and Teaching
Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v7i4.3887
Abstract
The rapid development of artificial intelligence（AI） technology has brought innovative opportunities to the
field of education. The technical advantages of AI in data processing, pattern recognition, virtual simulation and other
aspects provide new ideas for food chemistry curriculum design and teaching practice to break through the shackles of
traditional teaching mode. Food chemistry course is an important professional basic course for food science and
engineering, food safety and quality. Exploring the design and teaching of the food chemistry course enabled by AI is not
only the inevitable trend of digital transformation of education, but also the internal demand of discipline development. It
can greatly improve the efficiency of knowledge transfer and optimize the experimental teaching conditions, so as to
cultivate more professionals with interdisciplinary vision for the intelligent transformation of food industry. This paper
focuses on the deep integration of AI technology and food chemistry teaching, and constructs an intelligent food chemistry
course design framework by adapting the four key technologies of natural language processing, machine learning, computer vision and knowledge graph.
Keywords
artificial intelligence, food chemistry course, teaching design
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120-123.
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intelligence technology in the teaching of food chemistry under the background of new engineering [ J ].China Food, 2024, ( 10 ) : 16-19. [3] Luo Lei, Li Fang, Ding Yue, Tian Pingping, Kang Huaibin, Liu Lili, Chen Junliang.Research and Practice on
Formative Evaluation Mechanism of ' Food Factory Course Design ' Based on Students ' Ability [ J ].Agricultural Products
Processing, 2024, ( 08 ) : 130-132.
[4] Ye Fayin, Lei Lin, Chen Jia, Zhao Guohua.Design and practice of ' course ideological and political education ' in
food chemistry under the background of new engineering construction [ J ].Food industry, 2023, 44 ( 02 ) : 194-198.
[5] Pei Pei.Research on PBL teaching mode based on the integration of production and education under the
background of ' artificial intelligence + new engineering ' -Taking the course of food packaging technology as an example
[ J ].Academy, 2022,15 ( 15 ) : 50-53.
Copyright © 2025 Shuai Zhang, Huiying Chen, Jianfen Zhao, Fengting Liao
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