Process mining to discover online learning behaviour

This study is based on a private university in Malaysia that has developed a Moodle-based online learning environment. Since the introduction of e-learning, all materials, including lecture notes, data, and discussions, are performed within the e-learning platform. To understand more about how the e...

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Bibliographic Details
Published in2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM) pp. 1 - 7
Main Authors Husin, Husna Sarirah, Abdul Wahid, Muhammad Sufiyan, Zuhairi, Megat F., Zainol, Zuraini
Format Conference Proceeding
LanguageEnglish
Published IEEE 03.01.2023
Subjects
Data mining
Data processing
e-learning
Electronic learning
Information management
Navigation
process mining
Stakeholders
System analysis and design
user navigation pattern
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Summary:This study is based on a private university in Malaysia that has developed a Moodle-based online learning environment. Since the introduction of e-learning, all materials, including lecture notes, data, and discussions, are performed within the e-learning platform. To understand more about how the e-learning platform has been used, the research will concentrate on the data of study activity event logs in selected three academic weeks in 2020. The methodology includes phases of data extraction, data processing, data mining, analysis, and evaluation. To understand more about the mechanics of the e-learning process, the outcomes of each process are investigated. Based on the method previously stated, the utilization pattern of the UniKL VLE platform can be effectively investigated. A process model is generated by using the process discovery process available in the Flexicon Disco tool. Subsequently, the process model may enable the process to be improved and as such, could further enhance the existing e-learning platform.
DOI:10.1109/IMCOM56909.2023.10035624