The Application Research of Distributed Interface Coordination Based on Deep Reinforcement Learning in English MOOC Platform

Abstract

Developing information technology and other business management firms is not the same as technological advancement. The only way we can declare that complete technical progress is in place and operating well in the nation is if the education system has been built. The educational system is set up to instruct pupils via wireless technologies and online classes. Advancement in online classes has resulted in the Massive Open Online Courses (MOOC) Platform. The advantage of the MOOC platform is that it is a platform that provides free online courses for anyone to register and continue the course at their own pace. On this MOOC platform, implementing Deep Reinforcement Learning (DRL) aids in choosing the course and learning through an intelligent mechanism. The transmission between students and teachers will significantly rise because of this teaching strategy through the Distributed Interface Coordination (DIC) mechanism where the resources are distributed in the wireless networking environment. Additionally, the registered students should possess privileges to access the resources. This combination of DIC with DRL can be termed as DIC-DRL model for the proposed system. The data was collected using a low packet rate and outdated wireless connection technologies. The suggested model has a 97.67 percent accuracy rate in comparison with the existing model's support vector machine (SVM) mechanism.