University Student Dropout: A Longitudinal Dataset of Demographic, Socioeconomic, and Academic Indicators

Arnau Igualde-Sáez, José P. Garcia-Sabater, Juan A. Marin-Garcia, Sergio Puche García, Carlos Turró, Ignacio Despujol, Marina Alonso, José V. Benlloch-Dualde, Pedro Pablo Soriano Jiménez and Julien Maheut ()
Additional contact information
Arnau Igualde-Sáez: ROGLE Departamento de Organización de Empresas, Universitat Politècnica de València, 46022 Valencia, Spain
José P. Garcia-Sabater: ROGLE Departamento de Organización de Empresas, Universitat Politècnica de València, 46022 Valencia, Spain
Juan A. Marin-Garcia: ROGLE Departamento de Organización de Empresas, Universitat Politècnica de València, 46022 Valencia, Spain
Sergio Puche García: Área de Sistemas de la Información y las Comunicaciones, Universitat Politècnica de València, 46022 Valencia, Spain
Carlos Turró: Área de Sistemas de la Información y las Comunicaciones, Universitat Politècnica de València, 46022 Valencia, Spain
Ignacio Despujol: Área de Sistemas de la Información y las Comunicaciones, Universitat Politècnica de València, 46022 Valencia, Spain
Marina Alonso: Departamento de Informática de Sistemas y Computadores Grupo de Arquitecturas Paralelas, Universitat Politècnica de València, 46022 Valencia, Spain
José V. Benlloch-Dualde: Departamento de Informática de Sistemas y Computadores Grupo de Arquitecturas Paralelas, Universitat Politècnica de València, 46022 Valencia, Spain
Pedro Pablo Soriano Jiménez: Centro Valenciano de Estudios sobre el Riego, Universitat Politècnica de València, 46022 Valencia, Spain
Julien Maheut: ROGLE Departamento de Organización de Empresas, Universitat Politècnica de València, 46022 Valencia, Spain

Data, 2025, vol. 10, issue 10, 1-12

Abstract: This dataset contains detailed information on student trajectories and dropout factors at a Spanish technological university offering Science, Technology, Engineering, Arts, and Mathematics programs. The data comprise demographic, socioeconomic, and academic variables for all enrolled students, including those in bachelor’s, master’s, doctoral, and lifelong learning programs, across three complete academic years, excluding periods affected by the SARS-CoV-2 pandemic. The data were collected and standardized from disjointed internal data sources, and fully anonymized. The dataset contains information about 39,364 students, 4989 courses in 163 degrees, and 77 variables related to admission pathways, academic performance indicators, socio-demographic background, digital activity in the Learning Management System, and Wi-Fi access records. Each of the 464,739 records corresponds to a course enrolment per student per year, enabling longitudinal analyses of academic progression and dropout. This data has the potential to be reused to support research on factors influencing student retention, allow for the development of predictive models to identify students at risk of leaving their studies, and offer a resource for comparative studies in higher education.

Keywords: student dropout; higher education; dataset; learning management system (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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