Analysis of College Students’ Behavior Based on Machine Learning and Big Data Technology

Abstract

AbstractWith the continuous progress of society, information technology has developed rapidly, and the digital age has quietly arrived. The computer development science and Internet technology has continuously produced massive amounts of data, which not only contains countless wealth, but also constantly challenge traditional cognition. In order to better dig out the mysteries and find the rules, it is possible to analyze and master the endless information, knowledge and wisdom hidden behind the massive data. Big data technology came into being, and obtained in all aspects. In recent years, campus data has received more and more attention from college student management staff. They hope that with machine learning and big data technology-related theories, they can analyze the various types of data generated by students during school to find the law of student growth. Discover hidden dangers in time and deal with them properly, formulate a more scientific and humanized management plan for students, and truly teach students in accordance with their aptitude. This article analyzes the characteristics of college student behavior data, and analyzes the use of machine learning and big data in college student behavior data analysis.KeywordsMachine learningBig data technologyCollegesStudent behaviorBehavior analysis