Educational Process Mining techniques leverage educational data to gather relevant insights on the corresponding processes, ultimately supporting the development of evidence-based strategies for their improvement. In this work, we analyze students’ exam preparation process to i) uncover process patterns describing students’ behaviors and ii) develop predictive models capable of predicting students’ performance regarding graduation times. The results of the analysis can be employed both to formulate improvements to the study curricula and to enable the early detection of students who are likely to struggle in their career, to support them at an early stage of their studies.
Assessing the Impact of Exam Preparation Process on Students’ Careers / Potena, Domenico; Genga, Laura; Galeazzi, Lorenzo; Vigano, Gianmarco; Diamantini, Claudia. - 533:(2025), pp. 142-153. (Intervento presentato al convegno 6th International Conference on Process Mining (ICPM 2024) tenutosi a Lyngby, Denmark nel 14-18 October 2024) [10.1007/978-3-031-82225-4_11].
Assessing the Impact of Exam Preparation Process on Students’ Careers
Potena, Domenico;Galeazzi, Lorenzo;Vigano, Gianmarco;Diamantini, Claudia
2025-01-01
Abstract
Educational Process Mining techniques leverage educational data to gather relevant insights on the corresponding processes, ultimately supporting the development of evidence-based strategies for their improvement. In this work, we analyze students’ exam preparation process to i) uncover process patterns describing students’ behaviors and ii) develop predictive models capable of predicting students’ performance regarding graduation times. The results of the analysis can be employed both to formulate improvements to the study curricula and to enable the early detection of students who are likely to struggle in their career, to support them at an early stage of their studies.File | Dimensione | Formato | |
---|---|---|---|
978-3-031-82225-4_11.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso:
Creative commons
Dimensione
1.25 MB
Formato
Adobe PDF
|
1.25 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.