基于DeepSeek的高校个性化学习路径构建研究

中图分类号：G642 文献标识码：A DOI：10.16400/j.cnki.kjdk.2025.28.004

Research on College Personalized Learning Path Construction Based on DeepSeek

FENGXiaoyuan

（Taiyuan University，Taiyuan，Shanxi O30012）

AbstractThe article explores the application value ofDeepSeek model in the construction of personalized learning paths inuniversities.The article analyzes the technical advantages of DeepSeek in explicit thinking reasoning， elaborateson itsunique efectiveness in identifying cognitive differences among learners，establishes three design principles： learning goal orientation and dynamic generation，learner centered guidance and colaboration，and transparentand trustworthymechanisms.Basedonthis，animplementation framework integrating knowledgegraph analysis，intellgentresourcematchingandclosed-loopfedbackisconstructed.Thepersonalizedlearingpathdriven byDeepSeek can effectively adaptto the cognitive level diferences of students，cultivate their autonomous learning ability，and open up new paths for improving the quality of university teaching.

eywordsDeepSeek;personalized learning;universities;generative artificial intelligence

《教育强国建设规划纲要（2024一2035年）》明确提出“打造人工智能教育大模型”，标志着教育数智化转型已成为时代共识。（剩余4578字）