An Iterative Optimization Algorithm Study of Virtual Reality Technology in Self-Efficacy Enhancement for College Students

This paper discusses the application of virtual reality technology in enhancing college students' selfef icacy and proposes an iterative optimization algorithm based on learning experience.By analyzing self-ef icacy, the application of virtual reality technology machines in education, and combining relevant theories and empirical studies, the structural equation model of virtual reality technology in luencing college students' self-efficacy is constructed.The original structural equation model is optimized by using algorithms such as stochastic gradient descent method and stochastic average gradient, and the effectiveness of the algorithms is veri ied through experiments.This paper concludes that virtual reality technology can signi icantly improve college students' self-ef icacy, and the proposed iterative optimization algorithm can effectively improve the prediction accuracy and it of the original structural equation model.