Online Learning Procrastination Diagnosis And Intervention Based On Learning Analytics

The big data era of “data-driven learning and analysis revolutionizing education” has come.The application of big data learning analysis technology provides a new development opportunity for online learning.As a kind of advanced technology,learning and analyzing technology has promoted the teaching reform and become an effective tool to support teaching and learning,Although it has been widely studied and explored by researchers all over the world,the research on diagnosis and intervention of procrastination behavior in online learning is relatively rare by using learning analysis technology.Therefore,how to use learning analysis and other technical means to dynamically diagnose students 'online learning behavior state,give targeted teaching intervention,solve students' online learning procrastination behavior,promote students' success and improve learning effect are the research fields that need extensive attention of relevant researchers.Based on the learning analysis,this study aims at diagnosing and intervening online learning procrastination of college students in an education technology major.Based on the summary of the current situation of academic procrastination of college students,the influencing factors and the related theoretical research such as intervention,First of all,the paper analyzes the phenomenon of online learning procrastination.On the premise of determining the teaching object and designing the teaching content,the students 'online learning procrastination behavior is determined through the analysis of the number of procrastination and the time of procrastination.Secondly,on the basis of the relevant research results of domestic and foreign experts and scholars,11 specific factors that influence online learning procrastination are finally determined,According to the attribute,it can be divided into students 'influencing factors(time management,self-efficacy,learning motivation,self-regulation,emotion factor,mental and physical condition,cognition),teachers 'influencing factors(task arrangement,supervision management)and environment influence factors(platform failure,peer influence).The paper also designs specific intervention strategies for college students' online learning procrastination,and constructs a framework for the implementation of online learning procrastination intervention based on learning analysis for college students.Finally,empirical analysis is made,cluster analysis is used to classify the students of similar behavior in the teaching intervention week,and three types of learners are obtained,including active participants,intermediate participants and passive participants,and individual intervention is made on three types of learners,The effectiveness of the intervention was verified objectively by rank sum test,and the subjective evaluation of the effectiveness of the intervention was obtained by interview method.The results showed that the intervention of academic procrastination had a positive effect on the prevention of online learning procrastination of college students.The application of learning analysis technology can track students 'online learning throughout the process.Through the systematic analysis of students' online learning behavior data,teachers can diagnose students' procrastination more comprehensively and accurately,and give timely and effective teaching decisions.