Construction of College Chinese Mobile Learning Environment Based on Intelligent Reinforcement Learning Technology in Wireless Network Environment

Abstract

Technological advancements have resulted in the implementation of technology in various fields. Technologies such as wireless network systems and artificial intelligence have opened new doors in education. The Chinese language reflects the rich tradition of the greatest civilization in the world. Therefore, the university courses in a language with excellent traditional and cultural values have to be updated concerning technological growth. This research article will study the construction of a Chinese university language learning mobile environment based on intelligent reinforcement learning technology in a wireless network environment. Reinforcement learning technology (RLT) is a machine learning training technique that provides rewards and penalties. It is a decision-making approach in which artificial intelligence will face a game-like situation. Artificial intelligence either get rewarded or penalized for its actions. This learning method will significantly increase the transmission level between the student and teacher communication. Still, identifying whether the children are attentive while listening to their online classes is one of the hardest things. Once the energy loss has been rectified, it is possible to improve the learning platform in all universities, colleges, and other educational platforms using cloud computing technologies. With the implementation of RLT, the students and the teachers will be rewarded when there is an increased performance for the Chinese learning system. The results have been recorded at a low packet rate with reduced wireless communication technology. When the learning mechanism is compared to the Q-learning (quality learning) mechanism, a 98.78% accuracy rate can be seen.