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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.

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Assessing the Impact of Exam Preparation Process on Students’ Careers

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Domenico Potena,
  • Laura Genga,
  • Lorenzo Galeazzi,
  • Gianmarco Vigano,
  • Claudia Diamantini

摘要

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.