Abstract:

The integration of artificial intelligence (AI) into adaptive virtual reality (VR) training systems represents a transformative advancement in educational methodologies across various sectors, including healthcare, military, corporate training, and education. This paper examines how AI enhances the adaptability and effectiveness of VR training environments, allowing for personalized learning experiences that cater to individual user needs. By leveraging AI-driven algorithms, these systems can assess user performance in real time, analyzing factors such as response times, accuracy, and decision-making patterns, and adjust training scenarios accordingly. This capability fosters improved engagement, skill retention, and learner autonomy, ultimately enhancing the overall effectiveness of training programs. For instance, in healthcare, AI-enhanced VR can simulate complex surgical procedures, providing medical professionals with tailored feedback to refine their skills. In military training, adaptive VR scenarios can replicate dynamic combat environments, ensuring that soldiers are prepared for various situations. Corporate training programs benefit from AI’s ability to create customized onboarding experiences, adapting content to suit different learning styles and paces. However, challenges such as technical limitations, user acceptance, and data privacy concerns must be addressed to fully realize the potential of AI-enhanced VR training. The reliance on accurate data collection raises ethical considerations regarding user privacy and data security, necessitating stringent protocols and regulations.