菏泽学院学报

人工智能技术迅猛发展，正推动教育教学模式发生根本性变革。聚焦涉农专业核心课程田间试验设计与统计分析，针对其理论抽象、实践性强、学生数理基础差异大等难点，构建AI驱动的个性化学习路径生成与教学过程优化模型。该模型深度融合知识图谱、个性化学习方法与强化学习算法，动态规划并实时调优个性化学习路径，对学生认知水平与学习风格持续优化；同时设计教师与AI协同教学优化机制，实现因材施教。教学实践表明，该模型提升了学生学习兴趣与知识掌握度，增强了解决农业实际问题的能力，为AI赋能涉农专业课程提供了可借鉴的理论基础与实践范例。

The rapid development of artificial intelligence technology is driving fundamental changes in teaching models in the field of education. This article focuses on the core course of Field Experiment Design and Statistical Analysis, in response to the difficulties of theoretical abstraction, strong practicality, and students' significant differences in mathematical foundations, and constructs a model of AI-driven personalized learning path generation and teaching process optimization. The model deeply integrates knowledge graphs, personalizes learning methods, consolidates learning algorithms, dynamically plans and optimizes personalized learning paths in real time, and continuously optimizes according to students' cognitive level and learning style. At the same time, the article designs an optimization mechanism for collaborative teaching between teachers and AI to achieve personalized teaching. Practice has shown that this model enhances students' learning interest and knowledge mastery, strengthens their ability to solve practical agricultural problems, and provides a theoretical foundation and practical example for AI empowerment in agricultural related professional courses.