2025 ASEE Annual Conference & Exposition

Process Mining for Curricular Insight: Evaluating Student Progression in Environmental Engineering Programs

This study employs a Process Mining approach to analyze the academic trajectories and curricular compliance of the 2017 cohort in the Environmental Engineering program at a private Chilean university. Established in 1999 and accredited for five years (2018–2023), the program has undergone multiple curricular innovations to enhance training in environmental sciences and engineering. A comprehensive assessment of 57 students' progression was conducted to identify gaps and inform the ongoing curriculum redesign process. Results reveal significant variability, with 18 distinct trajectories observed. Only 53% of students remained active in the program by their fourth year, and less than 11% were on track for timely graduation. Delays in completing foundational courses, such as Introduction to Differential Equations and Non-Conventional Renewable Energies, were identified as key barriers to progression. Top-quartile students completed over 38 courses, while those in the bottom quartile passed fewer than 26, indicating delays of at least three semesters. Structural challenges, including limited credit flexibility and scheduling conflicts, further contributed to these delays. Process Mining provided actionable insights, revealing patterns of academic bottlenecks and non-compliance with curricular prerequisites. These findings emphasize the need for targeted interventions, including stricter enforcement of prerequisites, enhanced flexibility in academic administration, and tailored support programs such as tutoring and intensive recovery courses. This study demonstrates the potential of Process Mining as a strategic tool for higher education, offering a dynamic, data-driven perspective to support curriculum design, improve retention, and enhance student outcomes. Future research should extend this approach to additional cohorts and disciplines to validate these findings and guide broader educational innovations. This work positions Process Mining as an analytical technique and a strategic lens to align institutional policy with real student needs.

Authors
  1. Mr. Gonzalo Fagalde Orcid 16x16http://orcid.org/0000-0002-4707-1311 Facultad de Ingeniería, Universidad Andres Bello [biography]
  2. Dr. Elizabeth Ginette Garrido-Ramírez Centro de Investigación para la Sustentabilidad, Facultad Ciencias de la Vida, Universidad Andres Bello [biography]
  3. Dr. Sebastián Lira Zúñiga Andres Bello University, Chile. Center for Sustainability Research. [biography]
  4. Prof. Genaro Zavala Orcid 16x16http://orcid.org/https://0000-0001-5880-1124 Tecnologico de Monterrey, Monterrey, Mexico; Universidad Andres Bello, Santiago, Chile [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025