Process mining to discover online learning behaviour

Abstract

This study is based on a private university in Malaysia that has developed a Moodle-based online learning environment. Since the introduction of e-learning, all materials, including lecture notes, data, and discussions, are performed within the e-learning platform. To understand more about how the e-learning platform has been used, the research will concentrate on the data of study activity event logs in selected three academic weeks in 2020. The methodology includes phases of data extraction, data processing, data mining, analysis, and evaluation. To understand more about the mechanics of the e-learning process, the outcomes of each process are investigated. Based on the method previously stated, the utilization pattern of the UniKL VLE platform can be effectively investigated. A process model is generated by using the process discovery process available in the Flexicon Disco tool. Subsequently, the process model may enable the process to be improved and as such, could further enhance the existing e-learning platform.