Multimode Teaching Quality Evaluation Model of Higher Education Course Based on Improved Particle Swarm Optimization

Abstract

The current classroom evaluation in colleges and universities is mostly qualitative analysis, lacking of necessary quantitative means. Although the traditional analytic hierarchy process can deal with this problem quantitatively, it is difficult to test whether the judgment matrix has consistency. A multi-mode teaching quality evaluation model design technique based on an upgraded particle swarm optimization algorithm is suggested as a solution to these issues. An appropriate assessment system index is created by studying the evaluation system of teaching quality in colleges and universities using enhanced particle swarm optimization algorithm. To deal with the qualitative problem quantitatively, we use the enhanced particle swarm optimization approach, the multi-mode teaching model of education course is established. The experimental results show that the multi-mode teaching quality evaluation model based on improved particle swarm optimization algorithm is easy to operate, and can solve the subjectivity and randomness of teaching quality evaluation.