A Study On The Correlation Between College Students’ Online Behavior And Academic Performance

In recent years,the development of the Internet industry has entered thousands of households,and the advantages of the Internet in campus informatization are gradually reflected.More and more colleges and universities have introduced information technology to students’ learning in various subjects,making students’ learning fully combine theory with practical operation,and promoting students’ academic performance to a better direction.Therefore,this paper analyzes the impact of students’ online behavior on academic performance.In this paper,students’ online behavior and habits are fully integrated with students’ scores,and the data warehouse system is established according to students’ scores and online behavior.The influencing factor of students’ score passing rate is online time.Then,it is necessary to find out whether the online behavior has an impact on students’ scores,and find sufficient positive analysis,Then,part of the data sets of the data warehouse system are used to build the student achievement information management system.The students’ online time and achievement information are fully summarized,and a visual effect is formed,which fully proves that the impact of students’ online behavior on students’ achievements is positive,not negative.This research adopts three systems for analysis.The main research object is whether the online behavior of students majoring in information management and information systems in a college of computer and information engineering affects their grades.The first one uses data warehouse system to analyze the impact of students’ online behavior on their grades.It uses Apriori algorithm and decision tree algorithm to analyze the online behavior and students’ academic achievements,and draws a conclusion,Students majoring in information management and information system spend more time online,but their scores are better.Then,according to the decision tree algorithm,the pass rate of students’ online scores is obtained.The second is to establish a set of score information management system,which can be analyzed by using the algorithm of simple correlation of statistical description,and can be logged in and registered.At the same time,it can calculate the total number of students,the average score of students,the median of students’ scores,the standard deviation of students’ scores,the summary of scores,and visually divide students’ scores into five grades,and display the histogram and pie chart.The third is the system of students’ online behavior habits,which mainly describes the analysis of whether students’ online behavior habits can affect their scores.Through the Apriori algorithm,the main reasons that affect students’ scores are that they do not listen carefully in class and do not take notes.For those students who can find problems in their studies when surfing the Internet and use the Internet to complete their homework carefully,their academic performance will not be affected.Finally,this paper compares and analyzes the three systems,and summarizes that in terms of operating efficiency,the data warehouse system uses the Apriori algorithm and the C4.5 algorithm in the decision tree algorithm to combine.The application of this system has a certain timeliness through actual measurement,and can effectively analyze the pass rate of students’ grades,and branch the tree.The performance information management system,though powerful in function,is relatively slow in operation efficiency.The system of students’ online behavior habits,and through the analysis of the confidence and maximum support rate in the Apriori algorithm,is generally fast in operation efficiency,and can find out many factors that affect students’ performance.The conclusion is that more students surf the Internet does not have a negative impact on their scores.On the contrary,it is better to increase their scores appropriately.The online time is an experimental course,that is,a practical operation course,and it is not used for entertainment and leisure.