A Framework for Detecting Factors Influencing Students’ Academic Performance: A Longitudinal Analysis

Angela M. D’Uggento (), Francesco D. d’Ovidio, Ernesto Toma and Rosa Ceglie
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Angela M. D’Uggento: University of Bari “Aldo Moro”
Francesco D. d’Ovidio: University of Bari “Aldo Moro”
Ernesto Toma: University of Bari “Aldo Moro”
Rosa Ceglie: Data Engineering Staff, University of Bari “Aldo Moro”

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2021, vol. 156, issue 2, No 4, 389-407

Abstract: Abstract Following the introduction of performance management in Italian universities, Business intelligence has become a strategical means to use administrative data in support of governance and decision-making processes. The aim of this paper is to show the important role played by a decision support system inside an organization by evaluating the outcomes of the fair tuition fee policy of the University of Bari, in favour of low-income students, stated as a priority in its mission. A longitudinal analysis is carried out on the cohort of first-year students enrolled in the academic year 2015–2016, searching for a predictive model of their performance given some explicative variables. The usefulness of adopting a periodic monitoring system, investigating data by means of suitable statistical techniques (logistic regression, survival analysis, Cox regression model), allows to early detect those factors to be modified in order to achieve optimal results with respect to student expectations and quality of higher education.

Keywords: University governance; Decision support systems; Students’ academic performance; Predictive models; Logistic model; Cox regression model (search for similar items in EconPapers)
JEL-codes: C1 C2 I2 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11205-020-02334-7

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