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Event log obtained from moodle table that are logstore_standard_log, course_category, and user. We use mysql workbench to process that table. The initial, event log obtained is the event log of the entire study program from the university, then event log was grouped based on the existing study program. To get the event log for each study program, the logstore_standard_log table is matched with the course and course_category tables in the courseid attribute. After getting the event log for each study program, then separating the records based on the lecturer and student users, which is done by matching the logstore_standard_log table with the user table on the userid attribute.
After getting the separated event logs of student and lecturer, then filtering process is carried out based on component attributes. This filtering process sorts out activities and resources such as assignments, quizzes, forums, chat, active quizzes, and feedback. Resources in the form of resources, URL, H5P, folders, pages, glossaries, and books. The filtering process is done using the DISCO application from Fluxicon and ProM tools to analyse the event log using process mining. |
IEEE/ICACT20220197 Slide.05
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