The Innovative Application of Large Models and Virtual Online Education in Modern Education

Abstract

With the rapid development of artificial intelligence, large-scale models and virtual online education have enormous potential in contemporary education. This study explores how large-scale models and virtual online education can optimize resource allocation, achieve personalized learning, and improve efficiency. Large scale models analyze learning data, use deep learning algorithms to provide tailored resources and recommendations, accurately identify students' needs, and increase the success rate of resource matching to over 90%. Virtual online education enhances interactive teaching, achieves real-time teacher-student interaction, and promotes global collaboration. Improved remote learning technology provides flexibility and a richer learning experience. Combining large-scale models with virtual online education will improve the quality of education, promote global equity, and support sustainable educational progress.