《土壤学》作为众多专业的专业核心课和专业基础课，交叉性极强。教学内容独立、教学方法难以动态跟踪、混合式教学模式的“协同性”不足、实践教学与理论教学的深度融合不够、评价体系有待完善等问题和挑战。通过引入AI和项目式学习方法的应用，开展AI驱动的个性化教学内容与项目体系重构、AI赋能的项目式教学实施流程优化、AI支撑的项目式实践教学平台搭建、AI驱动的多元教学评价体系革新等内容，构建“AI+土壤学”项目式教学模式，提升学生解决复杂土壤问题的能力，同步提升学科思维与数字素养。

Soil Science, as a core professional and foundational course for many majors, is highly interdisciplinary. Current teaching methods face several problems and challenges, including relatively isolated teaching content, difficulty in dynamically tracking methods, insufficient synergy in blended teaching models, inadequate integration of practical and theoretical teaching, and an evaluation system that requires improvement. This study introduces artificial intelligence (AI) and project-based learning (PBL) to address these issues through the following strategies: AI-driven personalised teaching content and project system reconstruction; AI-empowered project-based teaching implementation process optimisation; AI-supported project-based practical teaching platform development; and AI-driven multidimensional teaching evaluation system innovation. The result is an “AI + Soil Science” project-based teaching model that enhances students ability to solve complex soil problems while simultaneously improving their disciplinary thinking and digital literacy.