Student Achievement Analysis and Prediction Based on Educational Data

With the continuous popularization of higher education and the continuous expansion of enrollment in colleges and universities, this has led to the increasing shortage of teaching resources in colleges and universities. On the other hand, the difficulty of higher education courses is relatively high, which leads to poor academic performance of some students. The so called student achievement analysis and prediction aims to analyze and predict the student’s academic performance in the future with the help of various information of the student, such as course grades, comprehensive academic performance and education data. In this regard, this paper analyzes a given educational data dataset containing student attributes of two schools in Portugal based on machine learning, predicts students’ performance in final exams, and evaluates the effect of different machine learning models.