“AI + 知识图谱”赋能课程智慧教学新生态——以《实验心理学》为例

“AI + Knowledge Graph” Empowers the New Ecology of Intelligent Curriculum Teaching—A Case Study of “Experimental Psychology”

摘要: 针对《实验心理学》传统教学中知识碎片化、个性化辅导缺失等痛点，本文构建“AI + 知识图谱”智慧教学模式。通过精细化知识图谱打造课前、课中、课后全环节教学闭环，实现个性化指导与可视化互动。教学实践证明，该模式显著提升了学生的学业成绩与实践能力，并有效减轻了教师的负担，实现了教与学的双向赋能。

Abstract: Addressing the pain points in the traditional teaching of “Experimental Psychology”, such as knowledge fragmentation and lack of personalized tutoring, this study constructs an intelligent teaching model integrating “AI + Knowledge Graph”. By building a refined knowledge graph, a full-link teaching closed-loop covering pre-class, in-class, and post-class stages is established, realizing personalized guidance and visualized interaction. Teaching practice has demonstrated that this model significantly improves students’ academic performance and practical skills, while effectively reducing teachers’ workload, thus achieving the mutual empowerment of teaching and learning.