Data quality challenges in educational process mining: building process-oriented event logs from process-unaware online learning systems.

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Date: May 10, 2022
Publisher: Inderscience Publishers Ltd.
Document Type: Brief article
Length: 146 words

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Abstract :

Educational process mining utilises 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. Byline: Rahila Umer, Teo Susnjak, Anuradha Mathrani, Suriadi Suriadi

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Gale Document Number: GALE|A704033025