Analysis of influencing factors of middle school students' learning based on C5.0 decision tree

Abstract

Middle school is a critical period for the entire training of students. How to help teachers and students accurately analyze the key factors that affect middle school performance and determine the dependence between these factors and performance has become a problem that urgently needs to be solved. Based on the simulated test scores of 6298 junior high school students in a certain urban area of Kunming, this research designed a questionnaire on the “learning effects and development factors of middle school students” and conducted a statistical analysis of the students' scores and their responses to study the learning effects and development factors of middle school students' relevance. Based on the C5.0 decision tree algorithm, the information gain of each attribute is calculated, the decision tree is constructed, and the correlation between the learning effect of middle school students and development factors is found to optimize the training structure. The research results have clarified the factors that affect the teaching effect so that both teaching parties can benefit from them and jointly improve the teaching quality.