Design and Analysis of Remote Tourism Teaching and Training System Based on Adaptive Virtual Queue Algorithm

Abstract

In the traditional tourism teaching mode, the teaching activities between teachers and students are restricted by the teaching mode and teaching methods. This model fails to use efficient methods to improve students' learning ability, and students cannot communicate after class to improve their ability. Therefore, the adaptive virtual queue algorithm is introduced in the design of the remote tourism teaching and training system. During the design of the remote tourism teaching and training system, the adaptive virtual queue algorithm can be used to collect business data information with network technology and sensors and other equipment. The data information is stored in the constructed remote tourism teaching and training system. Finally, the experimental results show that the remote tourism teaching training system designed in this article can effectively improve students' learning efficiency by 95%, which effectively verifies that the training system can effectively improve the students' ability of independent learning and extracurricular communication through the use of this training system.