智慧农业导刊2025，Vol.5Issue(24)：23-26,31,5.DOI:10.20028/j.zhnydk.2025.24.006
AI赋能土壤肥料学通论PBL教学的实践
摘要
Abstract
With the rapid development of artificial intelligence(AI)technology,higher agricultural education reform is embracing new opportunities and challenges.Aiming at addressing the pain points in the traditional PBL(Project-Based Learning)project-oriented teaching of"Introduction to Soil and Fertilizer Science"at Honghe University-such as the disconnection between problems and practice,insufficient personalized learning for students,and a single evaluation method-this paper explores the integration path of AI technology and the PBL teaching model.Combined with the development needs of Yunnan's plateau characteristic agriculture,it constructs a teaching system of"AI Empowerment+Project-Driven+Regional Characteristics".With the goal of cultivating application-oriented talents serving local economic development,this system designs a"three-stage and five-link"closed-loop teaching framework.Taking the soil salinization control in facility greenhouses of Honghe Prefecture,Yunnan Province as an example,it pushes personalized resources and project tasks based on AI algorithms to enhance the depth of project exploration and the effect of personalized learning.Additionally,this study uses AI tools to record students'process-oriented performance in real time,optimizing the teaching evaluation system.By integrating AI technology into the"three-stage and five-link"closed-loop teaching,the goal of talent cultivation is ultimately achieved.关键词
土壤肥料学通论/AI赋能/PBL项目化教学/本土案例/设施农业Key words
Introduction to Soil and Fertilizer Science/AI Empowerment/PBL(Project-Based Learning)/local case/facility agriculture分类
社会科学引用本文复制引用
..AI赋能土壤肥料学通论PBL教学的实践[J].智慧农业导刊,2025,5(24):23-26,31,5.基金项目
云南省本科教育教学改革研究项目(JG2023137) （JG2023137）
云南省服务乡村振兴战略课程思政示范课培育项目(2024LCSZ14) （2024LCSZ14）
红河学院"时代新人铸魂工程"专项项目(无编号) （无编号）
