Revolutionizing Education through Digital Twin Technology: Key Techniques and Applications

Digital Twin technology, which was first employed in industry, is now providing exciting opportunities for education. Imagine kids learning through interaction with virtual representations of real-world systems experimenting, making mistakes, and comprehending complex processes in a secure environment. However, today's Digital Twin educational applications often fall lacking when it comes of flexibility and differentiation. The study explores the key techniques used in the digital twin technology in education, includes Real-Time Data Integration, AI-Driver Feedback Mechanisms, Simulation and Interactive Learning, Personalization, Performance analytics and Learning Insights. The essential aspects of the framework, such as the data collection for gathering raw data, the data processing for preparing, the data transformation for formatting data for the Virtual Learning Environment (VLE), dashboard and data Visualization to provide feedback and insights for educators. Our platform is designed to be adaptable and scalable, making it easy to fit into various educational settings and adapt to different learning goals. This survey aims to make these powerful learning tools accessible to more students, enhancing their education in meaningful ways.