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Direct linkChiara Masci; Marta Cannistrà; Paola Mussida – Studies in Higher Education, 2024
This paper investigates the student dropout phenomenon in a technical Italian university from a time-to-event perspective. Shared frailty Cox time-dependent models are applied to analyse the careers of students enrolled in different engineering programs with the aim of identifying the determinants of student dropout through time, predicting the…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Potential Dropouts
Cannistrà, Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
Carreira, Pedro; Lopes, Ana Sofia – Studies in Higher Education, 2021
Dropout rates in higher education (HE) are particularly high for non-traditional students which may be due to unadjusted educational policies. Considering as non-traditional the students who are employed at the enrolment moment and using a longitudinal database containing information on 5351 students from a Portuguese HE institution, an event…
Descriptors: Higher Education, Dropout Rate, Nontraditional Students, College Students
