Quantitative Analysis of the Influence of Learning Resource Scheduling in MOOC Mode on Traditional Education and Teaching

Abstract

In view of the traditional method to evaluate the impact of MOOC model on traditional education and teaching, there is a problem of poor adaptive performance and low resource scheduling ability. A teaching ability evaluation combination model based on resource scheduling data envelopment analysis method is constructed. This method uses the traditional teaching mode to fuzzy clustering MOOC subject resources, analyses the correlation function of teaching ability, and uses the association rule mining method to mine the teaching ability characteristics. According to the teaching ability and the linear combination model of traditional education and teaching, the MOOC learning resources are completed. Data scheduling; construct a statistical model of data envelopment analysis to quantitatively assess the impact of MOOC model on teaching ability and traditional education and teaching. The experimental results show that the proposed method has good adaptive performance, high resource scheduling capability and high accuracy.