 |
This is our research methodology in this paper. There are five phase from planning until evaluation.
In Planning phase we develop the research question, scope of the research and building the research team. The main research question is How is the learning process of students and lecturers at CeLOE LMS.
Second phase is extraction, we extracted the CeLOE LMS event log obtained from the moodle table. We extract log lecturer and student at LMS CeLOE at 1st semester in 2020 until 2021. There are 206 two hundred six event from lecturer and 178.367 one hundred seventy eight thousand three hundred sixty seven event from student.
Third phase is data processing, we divided lecturers and student activities to know the both behavior activities in LMS. Data pre-processing is carried out to ensure that the available event logs are ready to be processed with the heuristic miner algorithm. We undertake a role-based data processing to separately analyse lecturer and student records.
Phase forth is Mining an analysis. This is the main part of the study and consisting of process discovery, conformance checking, dan analysis steps. Process discovery was done using the heuristics miner on Pro M tools. Heuristics miner was chosen in this study because this algorithm is one of the most used algorithms for process discovery that can deal with noise and can be used to express the main behaviour recorded in an event log. In Pro M, we used the interactive Data-aware Heuristics Miner plugin that allows interactive settings including several options of graphs to present the resulted process models.
And the last phase is evaluation. Evaluation was done through an intensive discussion with the CeLOE team and further interview with representative of lecturers and questionnaire students to verify the findings.
|
IEEE/ICACT20220197 Slide.03
[Big Slide]
[YouTube]