Research on the Entrepreneurship Simulation Platform for College Students Using Virtual Reality Technology

This study designed and developed an entrepreneurship simulation platform based on virtual reality technology. The platform integrates decision support algorithms, behavior prediction models, and user interaction technologies, aiming to provide users with an immersive entrepreneurship simulation environment to help them train their entrepreneurial skills and improve their actual abilities. This study designed a set of behavior prediction algorithms driven by big data to accurately predict users' decision-making tendencies and behavior trajectories. At the same time, the platform uses optimized decision support algorithms to provide users with real-time feedback and intelligent suggestions, significantly improving the decision-making efficiency in the entrepreneurial process. A highly simulated entrepreneurial scenario was constructed using virtual reality technology, including market dynamics, resource allocation, and risk assessment modules. To verify the effectiveness of the system, a series of simulation experiments were carried out. Data analysis results show that the platform has improved user learning efficiency, decision accuracy, and behavior prediction accuracy by 23.5%, 18.7%, and 21.4%, respectively. In addition, the user experience survey showed that the immersion and interactivity of the platform were recognized by 93% of users.