Umer RSusnjak TMathrani ASuriadi S2023-11-202022-05-042023-11-202022-05-04International Journal of Business Information Systems, 2022, 39 (4), pp. 569 - 5921746-0972https://hdl.handle.net/10179/18270Educational process mining utilizes process-oriented event logs to enable discovery of learning practices that can be used for the learner’s advantage. However, learning platforms are often process-unaware, therefore do not accurately reflect ongoing learner interactions. We demonstrate how contextually relevant process models can be constructed from process-unaware systems. Using a popular learning management system (Moodle), we have extracted stand-alone activities from the underlying database and formatted it to link the learners’ data explicitly to process instances (cases). With a running example that describes quiz-taking activities undertaken by students, we describe how learner interactions can be captured to build process-oriented event logs. This article contributes to the fields of learning analytics and education process mining by providing lessons learned on the extraction and conversion of process-unaware data to event logs for the purpose of analysing online education data.569 - 592(c) The author/s (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/learning analyticsprocess miningquiz-taking behaviourlearning management systemeducation dataprocess instancedata qualityJournal article10.1504/IJBIS.2020.10027967453007Massey_Dark0806 Information Systems1503 Business and Management