Abstract
Immersive recreations of actual classrooms in virtual reality (VR) provide students and teachers with insights into the classroom. Recent technological advances in haptics, display systems, and motion detection create a realistic and interactive experience, making VR ideal for hands-on training. The main fields of application for VR are interventional procedures like surgeries. VR devices allow teachers to quickly identify and address difficulties in the clever learning for complicated surgery course. With this in mind, it stands to reason that students will do better in logical thinking in a virtual classroom. Augmented reality (AR) enables users to project virtual information and structures over physical objects, enhancing or changing the real world. It is very beneficial to incorporate AR applications in understanding anatomical structures and physiological mechanisms. Many scholars have attempted to demonstrate the validity and educational impact of various VR and AR applications on different hardware platforms. Some even proposed a curriculum that incorporates these methods. This article aims to assist universities in maintaining and improving their education and learning systems through the use of a VR-based e-learning platform. Machine learning (ML) and artificial intelligence (AI) were employed to assess the learning impact of VR in medical education. In addition, the authors predicted student performance through multiple validation tests, such as the T-Test, P-Test, and One-Sample Validation test, and analyzed the proposed model with different parameters.