Research on remote control method of assisted instruction based on machine learning

Abstract

Aiming at the problems of poor stability and low efficiency of the traditional remote assistant teaching control system, a remote assistant teaching control system based on machine learning is proposed. The hardware part of the system consists of authentication module, student learning module, teaching management module, BBS management module and system management module. In order to improve the teaching efficiency, the basic functions of the distance teaching auxiliary system, such as course learning, self-assessment, homework submission and online Q&A, are determined and analysed in detail. Introduce machine learning into teaching control process. Give the software flow chart. Experimental data show that the stability of the design method in this paper is better than the other two traditional methods. Experimental results show that the design method has good stability and high efficiency.