TY - JOUR
T1 - ECTS credits and quality
T2 - evidence for public policy reform
AU - Velazquez, L.
AU - Atenas, B.
AU - Cruz Hernández, N.
AU - Castro Palacio, J. C.
N1 - Publisher Copyright:
© 2025 Society for Research into Higher Education.
PY - 2025
Y1 - 2025
N2 - This study examines the impact of ECTS credit allocation on student academic performance and quality assurance indicators in higher education. Using the VAC methodology–an evidence-based framework within the field of Curriculum Analytics–we analyze nineteen STEM degree programs at the Universidad de Sevilla (Spain) based on academic data from 2015 to 2020. Our findings reveal substantial inconsistencies in credit allocation, highlighting curriculum misalignments that negatively impact student performance, completion rates, and time-to-degree averages. We show that public policies such as Royal Decree 822/2021 promote uniform credit structures (e.g. 6-ECTS courses and 240-ECTS programs) that do not correspond to students' actual formative needs. These rigid regulations hinder the implementation of necessary curricular reforms and contribute to disparities in performance indicators across programs. We advocate for credit estimation methods grounded in academic data and predictive modeling, rather than in subjective perceptions of student workload. The VAC methodology offers a replicable and scalable approach for addressing these challenges and serves as a valuable tool for evidence-informed policy design in higher education.
AB - This study examines the impact of ECTS credit allocation on student academic performance and quality assurance indicators in higher education. Using the VAC methodology–an evidence-based framework within the field of Curriculum Analytics–we analyze nineteen STEM degree programs at the Universidad de Sevilla (Spain) based on academic data from 2015 to 2020. Our findings reveal substantial inconsistencies in credit allocation, highlighting curriculum misalignments that negatively impact student performance, completion rates, and time-to-degree averages. We show that public policies such as Royal Decree 822/2021 promote uniform credit structures (e.g. 6-ECTS courses and 240-ECTS programs) that do not correspond to students' actual formative needs. These rigid regulations hinder the implementation of necessary curricular reforms and contribute to disparities in performance indicators across programs. We advocate for credit estimation methods grounded in academic data and predictive modeling, rather than in subjective perceptions of student workload. The VAC methodology offers a replicable and scalable approach for addressing these challenges and serves as a valuable tool for evidence-informed policy design in higher education.
KW - computational modeling
KW - credit allocation
KW - curriculum analytics
KW - performance indicators
KW - Quality assurance
UR - https://www.scopus.com/pages/publications/105018968232
U2 - 10.1080/03075079.2025.2571640
DO - 10.1080/03075079.2025.2571640
M3 - Article
AN - SCOPUS:105018968232
SN - 0307-5079
JO - Studies in Higher Education
JF - Studies in Higher Education
ER -