Abstract: To address the current issues in virtual simulation experiment education, such as the neglect of individual student differences and insufficient emphasis on cultivating experimental process capabilities, this study constructs a virtual simulation experiment learning achievement scoring model that integrates knowledge skills and experimental competencies. The model aims to achieve comprehensive evaluation of student experimental outcomes through multidimensional indicators. Firstly, assessment metrics are proposed from two dimensions: knowledge skills (including optimal experiment scores and time consumption) and experimental capabilities (covering initial skill levels, skill improvement rates, and skill stability). Secondly, the entropy weight method is employed to determine indicator weights, coupled with a comprehensive scoring formula to quantify student performance. Finally, an empirical study is conducted using the virtual simulation experiment of cooperative control at signalized intersections in intelligent connected scenarios. Based on the scoring model calculations, students are categorized into three types: innate aptitude, trained development, and supported tutoring. This approach enables precise evaluation of experimental outcomes while achieving comprehensive assessment of students' experimental capabilities, thereby fully manifesting the authentic purpose of virtual simulation experiments.