Evidence-driven appraisal of students' careers using process mining: a case study.
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| Title: | Evidence-driven appraisal of students' careers using process mining: a case study. |
|---|---|
| Authors: | Diamantini, Claudia1 (AUTHOR) c.diamantini@univpm.it, Genga, Laura2 (AUTHOR) l.genga@tue.nl, Mircoli, Alex3 (AUTHOR) a.mircoli@univpm.it, Potena, Domenico1 (AUTHOR) d.potena@unvipm.it |
| Source: | Journal of Intelligent Information Systems. Jun2026, Vol. 64 Issue 3, p1011-1030. 20p. |
| Subjects: | Process mining, Graduation (Education), Evaluation methodology, Student development, Academic achievement, Academic support programs, Educational standards |
| Abstract: | Today's universities are more and more focused on improving their educational programs and supporting their students throughout their academic journey. A key aspect of such an effort is understanding which factors contribute to poor students' performance. This research illustrates how educational process mining techniques can be used to effectively uncover success and failure factors in students' academic journeys through a case study at an Italian university. The research reveals patterns related to adherence to curriculum requirements, strategies for taking exams, and the influence of various factors, such as the number of exams passed in the first year on graduation timelines. These findings offer valuable insights for educational institutions that might be used to, e.g., implement support mechanisms to enhance students' overall success rates. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Intelligent Information Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 193810067 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193810067 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10844-024-00904-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1011 Subjects: – SubjectFull: Process mining Type: general – SubjectFull: Graduation (Education) Type: general – SubjectFull: Evaluation methodology Type: general – SubjectFull: Student development Type: general – SubjectFull: Academic achievement Type: general – SubjectFull: Academic support programs Type: general – SubjectFull: Educational standards Type: general Titles: – TitleFull: Evidence-driven appraisal of students' careers using process mining: a case study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Diamantini, Claudia – PersonEntity: Name: NameFull: Genga, Laura – PersonEntity: Name: NameFull: Mircoli, Alex – PersonEntity: Name: NameFull: Potena, Domenico IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09259902 Numbering: – Type: volume Value: 64 – Type: issue Value: 3 Titles: – TitleFull: Journal of Intelligent Information Systems Type: main |
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