AN OVERVIEW OF EDUCATIONAL DATA MINING
4 years ago
Authors:
Nguyễn Ngọc Đan Thanh,Hà Thị Thuý Vi
Publication date:
31 / 05 / 2019
Name of Publishers:
Abstract:
Higher education data is growing, but the exploitation and extraction of meaningful knowledge for management have not been paid much attention. Existing mining tools are not effective. This study introduces three techniques for educational data mining: (1) classification techniques, (2) predictive models, (3) clustering techniques. Simultaneously, the study also proposes some solutions to analyze and visualize data, predict students' learning capacity and assemble learners. Therefore, education managers can choose appropriate solutions to exploit data for effective management and training.