Analysis Modeling And Application Research Of E-Learning Behavior Of College Student

With the expansion of college students and the rapid updating of intelligent network equipment,more and more college students joined the upsurge of network learning.Inspired by the success of O2O business model operation,various colleges and universities combining with the characteristics of the subject themselves develop or buy more mature network learning platform,constructing and enriching network learning resources and appling the innovative teaching mode of combination of both online learning and traditional classroom learning in order to achieve the purpose of improving the teaching effect.However,it is undeniable that college students learning in the network is still in separation from teachers in time and space.Teachers can not real-time monitor students'learning process or capture the dynamic learning state of the students resulting in that students' learning effect is poor and there are many problems,such as that time management is not reasonable leading to that utilization rate of time is low and a huge amount of network information resources are developed but they are used less and students easily give up in the learning process and can not hold on for a long time and learning interest is not strong and so on.There are many reasons for the above problems,which can be summarized as the following three reasons.One of them is that college students are lack of awareness of their network learning behavior and can not reasonably adjust their own learning methods according to the learning goals or tasks and are lack of awareness of self-management.The second of them is that teachers or administrators can not capture the dynamic learning state of the students or grasp the learners' learning rules and thus can not make timely adjustments to the instructional design.The last one is that the developers of the network learning platform or the builders of learning resources rarely pay attention to learners learning in the network to learning platform's acceptance and recognition,or understand the use of network information resources,which resulting in part of the learning content are disused.The basic reason is that there is no in-depth analysis of the learning behavior of college students in the network environment.At present,many scholars have adopted the method of questionnaire research on learning behavior of college students under the network environment and the information collected is generally the external behavior of learners.It is can not reflect the true state of the learner's learning behavior in a certain extent.The scholars seldom use modern tracking software and tools to monitor and record the students' learning behavior and do the correlative analysis based on the real behavior data collected.In this study,the learning behavior elements and interactive mode and operation mode of them are analyzed based on the new constructivism theory and behavioral science theory and so on.Match the learning behavior with learning styles combining with the theory model of learning style and establish the analysis model of network learning behavior and at the same time visual output the analysis results to learners,teachers and education administrators and the developers of curriculum platform and builders of learning resource to enable the network learners to understand their own learning behavior and learning styles and teachers education management to grasp the learning dynamics and to make timely adjustments to the design of classroom teaching and to appropriately intervene the learning process of college students under the network environment and the developer of learning platform and builder of network information resources to master the interaction information of students and network learning platform and continuously improve the network learning platform.At the same time,apply the constructed analysis model of network learning behavior of college students to practice.Choose the freshman and sophomore syudents as the research object in Hubei University and take the "College English" course as example and do the data analysis based on the Web log and database information of the NPELS network learning platform to research their learning behavior by statistics and analysis and mine their learning styles and put forward the corresponding improvement suggestions based on the actual situation.