随着人工智能时代的深入发展,新工科背景下应用型本科计算机类专业教学面临产教协同不足、实践时空受限、评价机制不健全等现实问题。以计算机网络课程为例,提出并构建了一种生成式AI深度嵌入的教学新范式。通过整合知识图谱、数字人实验导师、企业级项目实战平台等智能资源,实现“理论—实验—实践”的有机融通;形成“三堂融芯、三阶递进”的课程思政实施路径,并建立“三维立体、动态反馈”的多元评价体系。教学实践表明,该模式有效促进了网络与安全专业知识与产业实践的对接,强化了校企协同育人机制,推动了教学过程的持续优化,在提升学生专业能力的同时,增强了其创新意识与职业素养,初步构建了“师生学习共同体”式的教育新生态。

With the deepening development of the Artificial Intelligence era, the teaching of applied undergraduate computer majors in the context of new engineering is facing practical problems such as insufficient industry education collaboration, limited practical time and space, and inadequate evaluation mechanisms. This article takes the course of "Computer Networks" as an example to propose and construct a new teaching paradigm of generative AI deep embedding. By integrating intelligent resources such as knowledge graphs, digital human experiment mentors, and enterprise level project practical platforms, the organic integration of "theory experiment practice" can be achieved; Form a curriculum ideological and political implementation path of "integrating core elements into three classes and progressing in three stages", and establish a multi-dimensional evaluation system of "three-dimensional and dynamic feedback". Teaching practice has shown that this model effectively promotes the integration of network and security professional knowledge with industry practice, strengthens the collaborative education mechanism between schools and enterprises, promotes the continuous optimization of the teaching process, enhances students' professional abilities, and strengthens their innovative consciousness and professional qualities. It has preliminarily constructed a new educational ecology in the form of a "teacher-student learning community".