AI 赋能土壤肥料学 PBL 智慧教学的创新实践

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DOI：10.20028/j.zhnydk.2026.07.007

关键词： 四维图谱; 虚拟仿真; PBL; 智慧教学; 人工智能

中图分类号：G642 文献标志码：A 文章编号：2096-9902（2026）07-0026-04

Abstract： Addressing pedagogical challenges in Soil and Fertilizer Science—such as condensed class hours， disconnection between theory and practice， and lagging assessment—this study analyzes underlying causes including fragmented instructional design and inefficient student interaction. It proposes a novel smart teaching paradigm that integrates a four-dimensional mapping framework with virtual simulation within a project-based learning （PBL） approach. Key practices are elaborated， including map construction， virtual simulation exercises， problem-based inquiry， and tiered instruction， all enhanced by artificial intelligence （AI）. Within this framework， a knowledge map structures disciplinary content， a problem map drives PBL task design， a competency map quantifies core literacy development， and a values map integrates green agriculture principles. Since 2019， the course has implemented a blended online-offline teaching system， utilizing the "Xuexitong" platform and a proprietary AI-enabled platform to deliver instruction through animations， 3D models， and simulations. The course has been recognized with numerous honors at both national and provincial levels， forming a demonstrative system of teaching achievements. These achievements constitute a demonstrable pedagogical outcome system. The proposed paradigm has enhanced students' problem-solving abilities and course satisfaction， resulting in a replicable and scalable model for smart teaching in higher education.

Keywords： four-dimensional atlas; virtual simulation; PBL; smart teaching; artificial intelligence （AI）

随着高等教育改革的不断深化，课程教学范式的创新成为提升人才培养质量的关键 [1-2] 。（剩余5977字）