随着人工智能技术在教育中的应用不断深入,其作用正从单纯辅助转向更全面的融合。本研究聚焦DeepSeek智能平台在计算机网络课程中的应用实践,探讨其在知识传授方式和师生互动上的变革。分析了传统课程中网络协议教学过于抽象、实验设计滞后以及评价方式单一的问题,并提出借助智能技术实现灵活教学和多元评价的方案。研究发现,通过线上线下结合的学习环境和个性化学习路径规划,智能融合能够提高学生分析网络协议的能力和培养工程实践思维,但也需要警惕过分依赖技术可能抑制学生的自主探索精神。该研究为工科课程的智能化改造提供了理论参考,同时提出了“技术适配性”与“教育主体性”之间动态平衡的原则。

With the deepening application of artificial intelligence (AI) in education, its role is shifting from mere assistance to more comprehensive integration. This study focuses on the practical application of the DeepSeek intelligent platform in Computer Network, exploring its transformative effects on knowledge delivery and teacher-student interaction. It analyzes the issues in traditional teaching methods, such as the excessive abstraction of network protocol instruction, outdated experimental design, and monotonous evaluation approaches. To address these challenges, the study proposes leveraging intelligent technology to achieve flexible teaching and diversified assessment. The findings indicate that through a blended online-offline learning environment and personalized learning path planning, intelligent integration can enhance students' ability to analyze network protocols and cultivate engineering practice thinking. However, caution is advised against over-reliance on technology, which may inhibit students' independent exploratory spirit. This research provides theoretical insights for the intelligent transformation of engineering courses while proposing a principle of dynamic balance between "technological adaptability" and "educational autonomy".