Research on E-learning Teaching Assistant System Based on Improved Particle Swarm Optimization Algorithm

Abstract

With the development of information technology, e-learning has become an important way of learning. Compared to the traditional way of learning, E-learning is not limited by time and space and can meet student’ learning needs at any time. In order to improve students’ autonomous learning efficiency of E-learning and teachers’ efficiency in managing students’ study, this paper puts forward that we shall apply the particle swarm optimization algorithm to the digital learning platform. Aiming at the problem of slow recommendation speed in recommendation methods of E-learning resources, should use particle swarm optimization (PSO) to seek the optimal teaching objective. Therefore, this paper designs the E-learning teaching assistants system based on the improved PSO. Experiments show that the improved PSO is more effective in solving optimization problems of group learning features in colleges and universities and the optimization results are ideal, which can improve the learning effect of college students.