Abstract
One of the most significant indicators for assessing the quality of university study paths is the percentage of dropouts between the first and second year. The reference literature and the results that emerged from numerous specific investigations into the abandonment of the university system show that this is a crucial “joint” in the path of the students. The aim of this work is to analyze the evolution of the phenomenon in Italy, trying to bring out the factors and the motivations that influence the choices of the students, such as, for example, an incorrect orientation activity at the entrance, the need to quickly confront each other with the world of work, a supervening consciousness of not being able to deal with a specific course of study.
The contribution is the result of joint reflections by the authors, with the following contributions attributed to V. Ricci (Chaps. 4 and 5), to P. Perchinunno (Chaps. 1 and 2), and to F. Traetta (Chap. 3).
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References
Tinto, V.: Dropout from higher education: a theoretical synthesis of recent research. Rev. Educ. Res. 45, 89–125 (1975)
Paura, L., Arhipova, I.: Cause analysis of students’ dropout rate in higher education study program. Procedia - Soc. Behav. Sci. 109, 1282–1286 (2014)
Johnson, J.L.: Commuter college students: what factors determine who will persist or who will drop out? Coll. Stud. J. 31(3), 323–332 (1997)
Smith, J.P., Naylor, R.A.: Dropping out of university: a statistical analysis of the probability of withdrawal for UK university students. J. R. Stat. Soc. Ser. A 164, 389–405 (2001)
Murray, M.: Factors affecting graduation and student dropout rates at the University of KwaZulu-Natal. S. Afr. J. Sci. 110(11/12), 1–6 (2014)
Araque, F., Roldán, C., Salguero, A.: Factors influencing university drop out rates. Comput. Educ. 53(3), 563–574 (2009)
Chiandotto, B., Giusti, C.: L’abbandono degli studi universitari. in Crocetta C. (a cura di) Modelli statistici per l’analisi della transizione università-lavoro. CLEUP, Padova (2005)
Loh, W.Y.: Classification and regression trees. WIREs Data Min. Knowl. Discov. 1, 14–23 (2011). https://www.stat.wisc.edu/~loh/treeprogs/guide/wires11.pdf
Cazzolle, M., D’Uggento, A.M., Ricci, V.: Analisi retrospettiva di un collettivo di immatricolati presso l’Università degli Studi di Bari Aldo Moro tramite alberi di segmentazione binaria. In: Viola, D. (ed.) Valutazione e qualità degli atenei. Modelli, metodi e indicatori statistici, Bari (2011)
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Traetta, F., Ricci, V., Perchinunno, P. (2019). University Dropout Rates: Factors and Motivations that Influence the Choices of the Students. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11622. Springer, Cham. https://doi.org/10.1007/978-3-030-24305-0_7
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DOI: https://doi.org/10.1007/978-3-030-24305-0_7
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