AI 赋能农业高校数据库实践课程教学研究综述

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DOI:10.20028/j.zhnydk.2026.07.006

中图分类号：G642 文献标志码：A 文章编号：2096-9902(2026)07-0022-04

Abstract: As the core carrier for cultivating new farmers, database practical courses in agricultural colleges and universities face difficulties such as hardware shortage, insufficient integration of agricultural scenarios, and inability to meet the diverse needs of students. By analyzing multiple documents and related data in the field, the research reveals the main direction and implementation effectiveness of the practical curriculum reform through artificial intelligence empowerment, and proposes to take AI-assisted virtual experiments and layered topic design as the core, and use artificial intelligence technology to build an agricultural data simulation environment and rely on real scene libraries to optimize a comprehensive practical model for topic selection. It is expected to provide new ideas and methods for AI to empower the reform of similar types of courses and improve the quality of educating people in New Agricultural Science.

Keywords: artificial intelligence (AI); database teaching; virtual experiment; experimental topic design; digital transformation of education

中共中央、国务院印发的《教育强国建设规划纲要(2024—2035年)》中提出“促进人工智能助力教育变革，面向数字经济和未来产业发展，加强课程体系改革。（剩余7149字）