Application Research On Learning Interventions Based On Big Data

With the rapid development of Internet technologies and environment,the quality assurance and individualized education of Online education teaching is becoming an essential direction for the further development of the current distant education.But in the current online education platforms,the participates degree of the learner is not high,the education administrators and teachers without thorough understanding on learners’ learning status.Online education platform lack of the technology of real-time monitoring learning state,and the big data application in the field of education still lack of more detailed practice.These problems are urgently need to solve under the online education platform.This paper selected Y cloud class as the research object,the total sample size of 20000 students and through the literature research,experimental research and interview research in order to explore the big data in the application of the learning process and come up with the learning process control strategy model based on big data.Through the design of specific control experiment to verifies the validity of the policy model and control strategy,in order to provide specific ideas for control the experiment and administer rewards or punishment to learners.The results of the this study is that it has built the learning process control strategy of big data model;put forward the factors which affect learners analysis framework;put forward student learning assessment methods on the study to monitor and four kinds of feasible strategies to improve learners’ learning in the control strategies.