Data Quality Challenges in Educational Process Mining: Building Process-Oriented Event Logs from Process-Unaware Online Learning Systems
dc.citation.issue | 4 | |
dc.citation.volume | 39 | |
dc.contributor.author | Umer R | |
dc.contributor.author | Susnjak T | |
dc.contributor.author | Mathrani A | |
dc.contributor.author | Suriadi S | |
dc.date.accessioned | 2023-11-20T01:38:15Z | |
dc.date.available | 2022-05-04 | |
dc.date.available | 2023-11-20T01:38:15Z | |
dc.date.issued | 2022-05-04 | |
dc.description | ||
dc.description.abstract | Educational 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. | |
dc.description.confidential | false | |
dc.format.extent | 569 - 592 | |
dc.identifier.citation | International Journal of Business Information Systems, 2022, 39 (4), pp. 569 - 592 | |
dc.identifier.doi | 10.1504/IJBIS.2020.10027967 | |
dc.identifier.elements-id | 453007 | |
dc.identifier.harvested | Massey_Dark | |
dc.identifier.issn | 1746-0972 | |
dc.identifier.uri | https://hdl.handle.net/10179/18270 | |
dc.publisher | Inderscience | |
dc.relation.isPartOf | International Journal of Business Information Systems | |
dc.relation.replaces | http://hdl.handle.net/123456789/24996 | |
dc.relation.replaces | 123456789/24996 | |
dc.rights | (c) The author/s (CC BY 4.0) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | learning analytics | |
dc.subject | process mining | |
dc.subject | quiz-taking behaviour | |
dc.subject | learning management system | |
dc.subject | education data | |
dc.subject | process instance | |
dc.subject | data quality | |
dc.subject.anzsrc | 0806 Information Systems | |
dc.subject.anzsrc | 1503 Business and Management | |
dc.title | Data Quality Challenges in Educational Process Mining: Building Process-Oriented Event Logs from Process-Unaware Online Learning Systems | |
dc.type | Journal article | |
pubs.notes | Not known | |
pubs.organisational-group | /Massey University | |
pubs.organisational-group | /Massey University/College of Sciences |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Accepted Version.pdf
- Size:
- 1.7 MB
- Format:
- Adobe Portable Document Format
- Description: