Application of MOOC in Physical Education Teaching Mode Under the Background of Big Data

Abstract

Abstract With the continuous development of network technology, the application of Internet technology in education mode is becoming more and more closely. MOOC education method that should be applied to online teaching platform is called the current mainstream hot topic. Applying big data technology to online teaching platform can effectively solve the problems of numerous and confusing teaching resources, difficult user selection, weak management of online learning process and teaching The resources can not be efficiently utilized, and the user’s sense of role is missing. The application of big data technology in network teaching has, to a certain extent, subverted the traditional teaching system, changed the teaching mode of unified place, unified time and unified content. According to the analysis results of big data, learners can flexibly choose the time and place of class according to their own needs and characteristics, and carry out personalized and customized teaching resource learning. These decisions are not Subjective, but through the analysis of big data, on the basis of objective and reliable data, the decision is made. In this paper, through a comparative experiment of two classes of students in Physical Education in a university, the results of big data analysis show that the application of MOOC in physical education teaching mode can improve students’ learning enthusiasm to a certain extent, and the satisfaction degree of students to MOOC is as high as 92%; it can also assist students to improve their academic performance, and the average score of classes using MOOC is 10 points higher than that under the traditional education mode about.