Tổng quan phân tích và khai phá dữ liệu trong giáo dục đại học tiếp cận theo phương pháp trắc lượng thư mục từ cơ sở dữ liệu Scopus giai đoạn 2004-2023

Tóm tắt

The growth of analytical research and data mining in higher education have recently highlighted the importance of systematic synthesis. This article provides a bibliometric review of 4023 published articles from the Scopus database in the period from 2004 to 2023. The study focuses mainly on using analytical techniques and Data mining in advanced higher education to optimize models for predicting learner-learning outcomes and detecting learner behavior for timely intervention. Furthermore, the study shows that research on data analytics and mining in higher education came from researchers from many different countries. Most studies are the result of collaborations between multiple authors, and most authors collaborate with authors from the same country. The countries with the most publications on data analytics and mining in higher education are the United States, China, and others. The study demonstrates data mining and analytics techniques in higher education institutions to create new methods to improve educational outcomes, especially in building predictive models to develop student achievements.