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AI赋能土壤肥料学PBL智慧教学的创新实践

Innovative Practice of AI Empowering PBL Smart Teaching in Soil and Fertilizer Science

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【摘要】 该文针对土壤肥料学课时压缩、实践脱节、评价滞后等教学问题,分析传统教学碎片化、互动低效等成因,提出四维图谱融合虚拟仿真的PBL智慧教学新范式。介绍图谱构建、虚拟仿真实践、问题探究和分层教学等实践,融合人工智能技术,通过知识图谱结构化呈现知识,问题图谱驱动PBL任务设计,能力图谱量化核心素养发展,思政图谱渗透绿色农业理念。该课程自2019年起构建线上线下混合教学体系,借助“学习通”与自建AI平台,通过动画、3D模型等方式开展教学。课程获评国家级、省级等多项荣誉,形成具有示范性的教学成果体系。该范式可提升学生问题解决能力和课程满意度,形成可复制推广的智慧教学新模式。

【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.

【基金】 甘肃省高等教育教学改革研究重点项目(GJJGA126);甘肃省高等学校人才培养质量提高项目(甘教高函[2022]11号);陇东学院教育教学改革研究重点项目(LYJG2025A10);陇东学院课程思政教学研究示范中心重点项目(LYKCSZ2024C04,LYKCSZ2024D04)
  • 【文献出处】 智慧农业导刊 ,Journal of Smart Agriculture , 编辑部邮箱 ,2026年07期
  • 【分类号】G642;S-4
  • 【下载频次】19
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