Construction of Intelligent Student Management Information System Platform Based on Big Data Analysis

Abstract

With the wide application of big data technology, various management information systems in colleges and universities have accumulated a large amount of data. The use of data mining technology in teaching and management can make full use of these data and effectively improve teaching to a certain extent. The purpose of this paper is to study the construction of an intelligent student management information system platform based on big data analysis. This paper documents the construction and performance of a student management system, an example of data collection according to the data mining process. The platform interface will be seen by teachers, students and teaching supervisors in a friendly way, providing humanized services for different groups of people. In this paper, data mining technology is applied to the student achievement information management system to assist and support management decision-making. Through the use of clustering, association rules and other data mining techniques to sort out and analyze the student achievement information. The experimental study shows that the use of the intelligent student management information system platform based on big data analysis to analyze the students' performance, it is found that the average score of more than half of the students in the public courses is lower than 70 points, which will greatly affect the later professional courses.