Investigating Team Study Of Students In Massive Open Online Courses

In the rapid development of modern society,the importance of lifelong learning knowledge is becoming more and more important.The large-scale network open course(MOOC)has provided people with great learning convenience in the background of the information age,combined with the high efficiency,free and convenient features of the Internet.Online learning based on MOOC is becoming more and more accepted and accepted.However,there are many problems to be studied and analyzed in this way.For example,there are no compulsory constraints for students to study,which makes the learning process difficult to end,that is,the high loss rate,and the low efficiency of learning.Understanding the students' learning behavior in the MOOC environment can not only help the designers of the MOOC platform to optimize the MOOC platform,but also make up for the shortcomings of the separation of the time and space between teachers and students in the teaching mode of MOOC.(1)By collecting and analyzing the data of students' learning behavior in the MOOC environment,this paper studies the learning situation and learners' characteristics of the learners in the MOOC environment and the formation of the learning team.It is mainly through survival analysis to study the behavior characteristics of the learners,and to get the inability to adhere to and lower the efficiency of learning in the course of learning.The basic law of the next problem can better understand the students' high dropout rate.In the survival analysis,we mainly study the learning motivation and cognitive participation level of the learners,and get the final conclusion by quantifying the relevant data.(2)In addition,by describing the three characteristics of team activity,communication language and leadership behavior in the learning team,the relevant data are obtained based on the Chu class alliance,and the basic concepts of regression analysis are used to establish the structural equation research model.The team activity is low,team time can not be unified and the team is not unified.The quantitative analysis of the high mortality rate has been carried out,and the factors affecting these problems are finally obtained,and the solutions to these problems are put forward.This problem has been puzzling the MOOC learning platform.The conclusion of this paper can provide a certain basis for the design of the platform intervention measures.