Acta Scientific Computer Sciences

Research Article Volume 4 Issue 7

Application of Process Mining in Education: A Case Study

Fazila Baloch, Sania Bhatti* and Amirita Dewani

Department of Software Engineering, Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan

*Corresponding Author: Sania Bhatti, Department of Software Engineering, Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.

Received: April 25, 2022; Published: June 02, 2022

Abstract

Maintaining large information systems, especially the systems of an educational institute, is fundamental and most challenging. The processes like admission or examination cannot afford time delays, inefficiencies, and inaccuracies. Process mining has recently gained enormous research attention and is a growing technology in evaluating the processes of information systems via event log data recorded over numerous time stamps. The goal of process mining is to find, evaluate, fix, and improve real-world business processes based on the behaviour of an information system as recorded in an event log. The main objective of this research work is to apply process mining techniques for examining and analyzing educational processes using real-time log data of the MUET admission information system. The ProM toolkit is used for process model discovery and deviations. The event data was collected from Mehran UET’s admission department. The log files comprising 2 months of access log data typically collected during the admission process were examined. The process models were discovered using different plugins of ProM software. The results proved that with the help of event log files, an actual process model can be generated and see the bottlenecks and inefficiencies.


Keywords: Process Mining; Education Institution; Admission Process; Conformance Checking; ProM

References

  1. V P Mishra., et al. “Analysis of alarms to prevent the organizations network in real-time using process mining approach”. Cluster Computing 22 (2019).
  2. A Bogarín., et al. “A survey on educational process mining”. WIREs Data Mining and Knowledge Discovery 1 (2018): e1230.
  3. S J van Zelst., et al. “Event abstraction in process mining: literature review and taxonomy”. Granular Computing 3 (2020): 719-736.
  4. P He., et al. “An Evaluation Study on Log Parsing and Its Use in Log Mining”. presented at the 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (2016).
  5. A Mitsyuk., et al. “Using Process Mining for the Analysis of an E-trade System: A Case Study”. Business Informatics 29 (2014): 15-27.
  6. W Aalst., et al. “Auditing 2.0: Using Process Mining to Support Tomorrow's Auditor”. Computer 43 (2010): 90-93.
  7. A Bogarín., et al. “A survey on educational process mining”. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (2018): e1230.
  8. M Dorrer., et al. “Analysis of the life cycle of a library information resource using Process Mining technology”. in Journal of Physics: Conference Series1: IOP Publishing (2020): 012024.
  9. S Agostinelli., et al. “Supporting Governance in Healthcare Through Process Mining: A Case Study”. IEEE Access 8 (2020): 186012-186025.
  10. Z He., et al. “A process mining approach to improve emergency rescue processes of fatal gas explosion accidents in Chinese coal mines”. Safety Science 111 (2019): 154-166.
  11. R Cerezo., et al. “Process mining for self-regulated learning assessment in e-learning”. Journal of Computing in Higher Education 1 (2020): 74-88.
  12. G Ozdagoglu., et al. “An application framework for mining online learning processes through event-logs”. Business Process Management Journal 25 (2018).
  13. L Juhaňák., et al. “Using process mining to analyze students' quiz-taking behavior patterns in a learning management system”. Computers in Human Behavior 92 (2019): 496-506.
  14. H Awatef., et al. “Analyzing and Improving Educational Process Models using Process Mining Techniques” (2015).
  15. M Arias., et al. “Mapping the patient’s journey in healthcare through process mining”. International Journal of Environmental Research and Public Health 18 (2020): 6586.

Citation

Citation: Sania Bhatti., et al. “Application of Process Mining in Education: A Case Study". Acta Scientific Computer Sciences 4.7 (2022): 03-11.

Copyright

Copyright: © 2022 Sania Bhatti., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is June 25, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US