TY - GEN
T1 - Systematic Literature Review on Process Mining in Learning Management System
AU - Wafda, Fatharani
AU - Usagawa, Tsuyoshi
AU - Mahendrawathi, Er
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In the era of Industry 4.0, information systems record a huge amount of event logs. Process Mining (PM) techniques can evaluate a Learning Management System (LMS) usage based on actual learner's activity as recorded in the event logs. Similar systematic review research has highlighted the use of PM in LMS datasets and essential issues for future research. Our research is motivated by the fact that no literature reviews consider the process mining application in the learning process design. This paper aims to present the use of PM in LMS related to the deviation between learning design and actual execution. This literature study selects 20 out of 52 published articles from 2017 until 2021 based on the criteria and quality assessment. These articles were analyzed based on the research objectives, PM technique, and the tools used. The results show that student behavior is heavily related to the deviation between learning design and actual execution. Three perspectives are found in approaching student behavior: comparison of student behavior, performance prediction based on student behavior, and learning strategy evaluation. This structured literature review may help LMS learning designers improve learning design to suit student behavior.
AB - In the era of Industry 4.0, information systems record a huge amount of event logs. Process Mining (PM) techniques can evaluate a Learning Management System (LMS) usage based on actual learner's activity as recorded in the event logs. Similar systematic review research has highlighted the use of PM in LMS datasets and essential issues for future research. Our research is motivated by the fact that no literature reviews consider the process mining application in the learning process design. This paper aims to present the use of PM in LMS related to the deviation between learning design and actual execution. This literature study selects 20 out of 52 published articles from 2017 until 2021 based on the criteria and quality assessment. These articles were analyzed based on the research objectives, PM technique, and the tools used. The results show that student behavior is heavily related to the deviation between learning design and actual execution. Three perspectives are found in approaching student behavior: comparison of student behavior, performance prediction based on student behavior, and learning strategy evaluation. This structured literature review may help LMS learning designers improve learning design to suit student behavior.
KW - Educational process mining
KW - learning management system
KW - structured literature review
UR - http://www.scopus.com/inward/record.url?scp=85139251937&partnerID=8YFLogxK
U2 - 10.1109/IAICT55358.2022.9887428
DO - 10.1109/IAICT55358.2022.9887428
M3 - Conference contribution
AN - SCOPUS:85139251937
T3 - Proceedings of the 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2022
SP - 160
EP - 166
BT - Proceedings of the 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2022
Y2 - 28 July 2022 through 30 July 2022
ER -