The practice and prospect of algorithm-driven virtual simulation technology in medical undergraduate education

Abstract

Amid growing interest in the use of virtual simulation platforms in educational settings, the reform of medical education increasingly looks to virtual simulation technology as a promising new avenue. This study aims first to analyze the components of a virtual simulation system and to enhance the functionality of virtual simulation technology by optimizing the network model algorithm. Utilizing cloud computing technology, a virtual simulation teaching experiment platform was constructed. Further, a virtual simulation medical education system based on the BOPPPS teaching model was developed to address the constraints of practical experience in the traditional undergraduate medical education model. Empirical analysis of the virtual simulation medical education mode reveals that the CPU utilization rate on the constructed cloud platform ranged from 2% to 35%, and the memory usage varied between 15 and 25 GB. In comparative assessments of medical education practices, this study found that students trained under the virtual simulation technology-enhanced model scored 0.96 to 1.53 points higher in various skill assessments than those trained under traditional methods. Moreover, the total scores for communication abilities increased by 5.48 points, highlighting a significant improvement. These results affirm the superiority of the virtual simulation technology medical education model presented in this study. They underscore its practicality and feasibility for application and development in undergraduate medical education, providing a substantive pathway for integrating advanced virtual simulation technologies into medical training.

Keywords

• virtual simulation technology
• network model optimization
• cloud computing
• teaching experiment platform
• medical education
• 97p10