The Research Of The Resources Application Behavior Of Network Learners

With the development of computer technology and Internet technology,online education becomes more and more popular.And the gradual deepening of the education informatization also brought the explosive growth of educational data.With the development of big data,machine learning and data mining technology,the goal of individualized study through the analysis of the educational data will become possible.Now at home and abroad more and more scholars has been studied the interaction behavior of network learners and digital resources in online education.But we are more in accordance with their own field of study and direction as well as the ability to obtain resources to design the learning behavior analysis system and method,and because of the various methods and systems vary greatly,there is no a unified system or framework,which led to less practical research results.Therefore the issue has studied the interaction behavior of network learners and digital resources to solve the problems of practice and consistency.Firstly,this paper uses the method of literature analysis to research on resource application behavior analysis model and some main methods of data analysis of domestic and foreign.On the basis of this study proposed the resources applied behavior analysis model.This model mainly introduces analysis process of resource application behavior in the field of online education and analysis process will be creatively divided into description analysis,diagnosis analysis and prediction analysis,and includes the corresponding summary for the three different types of analysis model.This paper provided a constructive opinion for the developing of resource application behavior analysis system from a macro perspective.In the following chapter,based on the model,develop a resources applied behavior analysis tool,this tool can receive uploaded learning resource application behavior data by teachers or teaching related workers,and through the analysis of internal system feedback analysis results.In the process of analysis,refer to a variety of methods of the domestic and foreign scholars in the field of online learning behavior analysis.The analysis tool provides an open research platform for other researchers,its high independence and expansibility can make the later research maintain consistency,provides the possibility of practice.This paper explores the interactive behavior of network learning and network learning resources and mining,analysis and use of these interactive data provides a reliable basis for teaching and learning.And provides personalized learning diagnosis,the academic evaluation process,and predict future performance and potential problems based on individual differences of learners.The research of the resource application behavior of network learners provides support for the realization of individualized study.