针对计算机网络课程中规模化教学与个体需求冲突、知识更新滞后及技术赋能不足的问题，提出基于AI大模型的计算机网络课程教学改革思路，从精准化答疑、个性化教学、智能化评估3个关键领域，介绍大模型驱动的计算机网络教学改革实践，最后通过实证数据说明改革成效并探讨未来发展方向。

To address the conflicts between large-scale teaching and individual needs,outdated knowledge,and insufficient technological empowerment in computer network courses,this paper proposes an AI large-scale model-driven teaching reform framework.It elaborates on innovative practices across three pivotal domains:precise Q&A,personalized instruction,and intelligent assessment.Empirical evidence demonstrates the efficacy of this reform,while future development directions are discussed.