WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 16, 2019
Development and Comparison of Predictive Models based on Learning Management System Data
Authors: ,
Abstract: This study introduces and evaluates different feature reduction and supervised machine learning approaches to predict the students` academic success. Our analysis is based on data about students` activities in the learning management system. We found that neural networks based approach with principal component analysis in feature reduction is the most effective for learning management system data.