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In this modern era, every organization strives to support its business processes with computer-based systems. Universities are no exception; more and more are implementing computer-based learning management systems (LMS). LMS allows universities to manage learning activities carried out by lecturers and students, in the form of material delivery, assignments, quizzes, exams, etc. One of the advantages of implementing LMS in universities is the automatic creation of an event log that is recorded by the LMS. The event log records step-by-step of the LMS usage by lecturers and students in the learning process.
The event log is useful to support process analysis. Process analysis allows understanding of business processes by analysing each activity and the activity sequence, identification of the most common activity sequence carried out by lecturers and students during the learning process, identification of exceptional sequence in certain groups of lecturers and students, and their conformity to learning process implementation guidelines at the university.
Telkom University has its own learning management system called CeLOE which was developed based on the open-source Moodle application. In this study, process mining is used to analyse the event log of CeLOE LMS, an LMS that is used at Telkom University. The case study in this research is learning in the study program 365 during the first semester of 2020 until 2021.
There are 1,754,444 events from the moodle log table. |
IEEE/ICACT20220197 Slide.02
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