| 刊名 | Agricultural Biotechnology |
| 作者 | Zhengnan REN, Binbin LI, Xinhui WANG* |
| 作者单位 | College of Food and Biological Engineering Chengdu University, Chengdu 610106, China |
| DOI | DOI:10.19759/j.cnki.2164-4993.2026.04.011 |
| 年份 | 2026 |
| 刊期 | 4 |
| 页码 | 41-45 |
| 关键词 | Artificial intelligence; New agricultural science; Agricultural master’s degree; Food processing and safety; Whole-process training |
| 摘要 | Under the background of new agricultural science construction and the digital transformation of education, the cultivation of agricultural master’s degree students in the field of food processing and safety faces practical problems such as insufficient cultivation of innovation ability, weak digital research ability, and a loose connection between practical education and industrial needs. Based on the OBE (Outcome-Based Education) concept and the theory of collaborative education, combined with the development background of artificial intelligence (AI) technology, an AI-empowered whole-process training model is constructed. Its operational mechanisms are proposed from the aspects of knowledge acquisition and research topic selection, research design and innovation training, data analysis and research expression, industrial practice and problem solving, as well as training quality evaluation. This model is conducive to enhancing graduate students’ innovation ability, practical ability, and digital literacy, providing a reference for the innovation of agricultural master’s degree training models under the background of new agricultural science. |
