The Analysis Of Online Learning Behavior Of Students Based On E-learning Platform

Along with the four factors which is the cloud computing, the big data, the zigbee and the wisdom learning have affect the development of Information Education,the learning process and learning methods of Information teaching gradually from multimedia learning changing to network learning.The use of E-learning platform is a form of expression that base on network learning with internet connection.Diversification learning space, diversification learning time, enrichment teaching resources, seamless learning environment and so on,it is gradually being accepted by the various social categories of persons.Through the online learning platform for teaching,not only reduces the occupation of teaching resources and investment of education funds, but also increases the learner’s autonomic selectivity and to narrow the distance between the learner and the "learning class".Now, the learners’learning effect on the online platform in our country is varied,but, analysis of learner’s online learning behavior,exploring of dimension of learner’s learning behavior,research of the effect of learning behavior on network learningjthese research of areas is relatively weak.Network learning behavior analysis is the most direct way of action path judgment learners in the learning procedure,it has an significance influence on the evaluation of the learning effect.The structural analysis of behavior characteristics of learning can be more intuitive to see the learning platform for online use effectively.It is not difficult to see,and it is not difficult to see that the study on the analysis of the behavior of network learning in China,most of the scholars have analyzed the network learning behavior by building model,the research and examining of dimension of the structure of the E-learning are relatively few.With the popularity of online learning platform,industry type online learning platform has been widely developed.Industrial types of online learning platform to emphasize the training of technical personnel,it takes workers as the comprehensiveness of the study to carry on the teaching.Currently there are problems in the online learning platform of industrial talents, such as the teaching effect is not good,learning content targeted is not strong,online learning platform for industrial talent there teaching effect is not good.Research in order through the network learning behavior examining to divide the learning dimension of behavior, find out the industrial type learning learning characteristics and individual behavior characteristics, the platform can provide a more personalized and adaptive teaching services, optimize the effect of teaching.By this, the author under the support of the Knowles Adult Learning Theory the Learning Theory of Connectivism and so no,combined with the characteristics of the industrial type online learning platform and the characteristics of the industry type learners,to sum up a set of network learning behavior dimensions of industrial type learners, including the explicit and implicit dimensions of the 19 dimension groups,and make a structural examining of the dimension.The study collected the data of the behavior of 20 people in 10 enterprises,through the data structure mining method, the data of the explicit behavior of the platform learners,using WEKA clustering analysis of behavioral data characteristics, SPSS to analyze the behavior of data correlation.comparative behavior characteristics and the degree of explicit behavior.Combined with the questionnaire survey, using the EXCEL statistical analysis behavior of hidden data, summarize the hidden behavior in degree.Correlation analysis of internal and external dimensions of behavior, behavior between the inside and outside related to find out the behavior characteristics of learners,according to the behavior characteristics and analyzes 15 conclusions.Through the analysis of the conclusions of the relevant strategies to improve the platform and improve the network learning behavior of the relevant strategies.This study provides a certain reference value for the future study of the network learning behavior of industrial type learners, and provides a certain reference value for the examining of the dimension of the network learning behavior and the data structure mining.