Research on the Design of a Simulation Platform for Database System Course Experiments Based on Open Network and Identity Recognition

The database system course for application-oriented undergraduate computer science majors based on OBE requires the cultivation of students' practical hands-on operation ability. Currently, the experimental evaluation of database system courses mainly adopts manual methods, which have the problems of difficulty in authenticating the content of experimental reports, excessive workload of inspection and review, and inability to meet the development trends of large-scale, networked, personalized, and intelligent. Therefore, a database system experimental simulation platform based on open network, real-time identification of student identity, and automated evaluation of experimental operation results is proposed. The real platform adopts a WEB application architecture, uses MySQL8.0 database as the practical operation simulation environment, and utilizes eye tracking and face recognition artificial intelligence technology for identity recognition during the practical operation process. According to the operational requirements of experimental projects, the assessment objects are divided into different types, and automatic evaluation strategies for various assessment objects are designed. While improving students' practical skills, it also improves the efficiency of experimental teaching for teachers.