The research focuses on the use of virtual reality technology to innovate the mode of college students’ civic education, and develops a set of VR civic teaching system with both strong interactivity and educational effectiveness. Using Unity3D as the development engine, we introduced an improved QEM mesh simplification algorithm to build the key contours and detailed features in the virtual teaching scene for the complex scene rendering problem. Then Mip-Map texture mapping technology is used to map the model and eliminate visual jaggedness. It is also integrated into the interactive teaching system of the ideology and politics course to design the visualized virtual learning situation. The usability test received positive feedback from 98 students, with more than 85% of users giving ratings that conformed to the above in terms of core indicators such as ease of use and interface friendliness. The experimental class using the VR system scored an average of 90.54 points in the Civics and Political Science Comprehensive, significantly higher than the 81.26 points of the control class with traditional teaching, with an advantage of nearly 10 points. The self-assessed positive rates of the experimental class students in terms of learning interest and self-efficacy also generally exceeded 85%, and the instructors also observed a 20-30% improvement in their classroom concentration, interactive motivation and depth of thought expression. The interactive performance of the system is more than three times that of the traditional system, which explains why it is more effective in attracting students’ learning engagement on a behavioral level.
