Estimation of Students' Learning States using Bayesian Networks and Log Data of Learning Management System
Nobuhiko Kondo, Toshiharu Hatanaka · International Journal of Institutional Research and Management · 2019
Over the last decade, learning analytics (LA) and its related fields have rapidly developed.LA has become a robust concept of Institutional Research (IR) or student support.In this study, building a model of learning process by a Bayesian network from a large amount of educational data has been studied.Moreover, we propose the Bayesian network model for the learning process based on the log data accumulated from the learning management system (LMS).From the numerical simulation results, the proposed approach can be used to predict certain learning states of students.