ỨNG DỤNG KHAI PHÁ DỮ LIỆU TRONG GIÁO DỤC: NGHIÊN CỨU TRƯỜNG HỢP VỀ DỰ BÁO KẾT QUẢ HỌC TẬP CỦA SINH VIÊN ĐẠI HỌC NĂM THỨ NHẤT

Abstract

The academic results of university students after a semester or a year directly reflect their efforts and learning progress in higher education environment. These results will have an impact on the chains of educational activities of the students in subsequent semesters or the future, such as opportunities for personal development in seeking employment and higher education. In fact, first-year students show the most significant changes in academic performance compared to students in other years. This proves that there are many factors that affect students' academic performance, such as their place of residence, family, and relationships, etc. This study collected data from first-year university students to analyze the data and determine the main factors that affect their academic performance. At the same time, the study employed a decision tree model in data mining to predict the academic performance of students with the aim of helping them understand the learning process and develop a learning strategy in the following years. Additionally, the study hopes to assist university administrators in student managements at university level.