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.
2025
9783031822247
9783031822254
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/342536
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