Design of a Dual-driven Computer Network Course Teaching Model Based on MOOC and Virtual Simulation

With the development of information technology, the online teaching model has been widely used to improve the school's ability to respond to emergencies such as epidemics and disasters. Meanwhile, the online and offline teaching mode has also been widely used in computer science courses to improve students' understanding and application of knowledge points. As a core course for computer science students, the computer network course is not only abstract and difficult to understand, but also highly practical. It often requires offline experiments to improve students' understanding and application of knowledge. However, offline experiments not only require venues and expensive equipment, but also are often interrupted in special situations such as epidemics and laboratory maintenance. Therefore, how to conduct online experiments on the computer network course and integrate them into regular teaching is still a question worth studying. In this paper, we propose a dual-driven teaching model based on Massive Open Online Courses (MOOC) and virtual simulation. In this model, computer network knowledge points are recorded as an online open course for students to learn before class. At the same time, the Enterprise Network Simulation Platform (ENSP) software is introduced to carry out computer network simulation experiments. This model promotes offline learning with online learning and enhances theoretical teaching with experimental teaching, which enhances students' theoretical analysis and practical skills. By comparing the learning outcomes of students vertically and horizontally, it is verified that this model has achieved better teaching effects in the computer network course compared to the traditional pure theoretical course model, and can be used to guide future teaching processes.