节点文献
基于AI赋能的《兽医病理学》个性化学习路径探索
Exploration of Personalized Learning Paths for Veterinary Pathology Empowered by AI
【摘要】 基于AI赋能下《兽医病理学》课程个性化学习路径的构建。通过分析传统教学模式的局限,利用AI技术构建知识图谱、分类学习资源、收集分析学习数据以及生成和调整个性化学习路径的过程,旨在提升《兽医病理学》教学质量,满足学生个体学习需求,为培养高素质动物医学相关专业人才提供新的教学思路与方法。
【Abstract】 Construction of a personalized learning path for the course of Veterinary Pathology empowered by AI.By analyzing the limitations of the traditional teaching mode, this paper utilizes AI technology to construct a knowledge graph, classify learning resources, collect and analyze learning data, as well as generate and adjust personalized learning paths.The aim is to improve the teaching quality of Veterinary Pathology,meet the individual learning needs of students, and provide new teaching ideas and methods for cultivating high-quality talents in animal medicine-related majors.
【Key words】 artificial intelligence; Veterinary Pathology; personalization; learning path;
- 【文献出处】 畜牧兽医杂志 ,Journal of Animal Science and Veterinary Medicine , 编辑部邮箱 ,2025年04期
- 【分类号】G642;S852.3-4
- 【下载频次】115