Research on Analyzing Smart Education Model based on Machine Learning and Virtual Reality Technologies

Most exciting and instructive for actual study and learning different methods to convey facts graphically for academic purposes are the 3D panoramic mode and interactive experiences. Users may get a better feel for the digital world's immersive visualization capabilities due to the development of 3D user interfaces. In this study, Machine Learning and Virtual Reality in Smart Education (ML-VR-SE) Framework has been suggested to improve students' interaction, satisfaction and performance in a smart education environment. In this step, the 3D objects visualization module's model has been designed to restore the 3D images. In a virtual reality environment, 3D objects are treated as templates and algorithms rather than physical objects. The intended 3D user interface, such as Graphical User Interface (GUI), is performed in a cloud-based training program that includes a virtual tour. The size of the OS modifications is shown as a function of the template and shape of the 3D structures used. The experimental findings demonstrate that the suggested machine learning and virtual reality in smart education (ML-VR-SE) framework achieves the best performance, interaction ratio and student satisfaction compared to other popular methodologies.