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Saggi e ricerche

Vol. 9 No. 2 (2024): University teaching innovation to develop career guidance and work-place transition processesAnno

Determinants and Academic Performance: The Role of Prerequisites in University Achievement

DOI
https://doi.org/10.3280/exioa2-2024oa19149
Submitted
gennaio 13, 2025
Published
2025-01-24

Abstract

This study examines the relationship between incoming preparation and academic performance of engineering freshmen at Politecnico di Torino, within the context of transformative and sustainable processes in higher education. Based on a sample of 3,739 students, the research evaluates the predictive validity of the entrance exam (Test In Laib - TIL) and the national state exam (Esame di Stato – EdS), considering variables such as gender, geographical origin, and scholastic background. The results show a significant correlation between TIL scores and the university credits earned in the first year, highlighting the importance of the TIL in predicting academic success, while EdS scores are not correlated with performance. Students from scientific high schools and regions outside the North-West obtain higher TIL scores, indicating disparities in preparation. Gender differences also emerge: males achieve slightly higher TIL scores, while females score higher on the EdS. Binary logistic and quantile regression analyses confirm the effectiveness of the TIL as a predictive tool, suggesting the need to revise orientation and admission policies to better support students’ transition from school to university. These results are crucial for refining educational strategies, better aligning students’ preparation with academic and professional demands, contributing to reducing dropout rates and improving academic success.

References

  1. Aquines Gutiérrez, O., Hernández Taylor, D. M., Santos-Guevara, A., Chavarría-Garza, W. X., Martínez-Huerta, H., & Galloway, R. K. (2022). How the entry profiles and early study habits are related to first-year academic performance in engineering programs. Sustainability, 14(22), 15400. DOI: 10.3390/su142215400.
  2. Ballatore, M. G., Montanaro, L., & Tabacco, A. (2018). TIL: an innovative tool for the recruitment of bachelor engineering students in Italy. International Education and Research Journal, 4(2), 79-84.
  3. Biasin, C. (2021). La costruzione di partnership scuola-università per facilitare la transizione degli studenti. La costruzione di partnership scuola-università per facilitare la transizione degli studenti, 63-78. DOI: 10.3280/erp2-2021oa12116.
  4. Bowles, A., Fisher, R., McPhail, R., Rosenstreich, D., & Dobson, A. (2013). Staying the distance: students’ perceptions of enablers of transition to higher education. Higher Education Research & Development, 33(2), 212-225. DOI: 10.1080/07294360.2013.832157.
  5. Ferrão, M., & Almeida, L. (2019). Differential effect of university entrance score on first-year students’ academic performance in Portugal. Assessment & Evaluation in Higher Education, 44(4), 610-622. DOI: 10.1080/02602938.2018.1525602.
  6. González, M. Á., Gazo, P. F., & Fonseca, M. T. (2011). La problemática de la transición bachillerato-universidad en la Universidad de Barcelona. Revista Española de Orientación y Psicopedagogía, 22(1), 15-27.
  7. Molontay, R., & Nagy, M. (2022). How to improve the predictive validity of a composite admission score? A case study from Hungary. Assessment & Evaluation in Higher Education, 48(4), 419-437. DOI: 10.1080/02602938.2022.2093835.
  8. Munđar, D., Keček, D., & Matotek, D. (2015). Relationship between enrollment criteria and first-year students’ study-success. In Proceedings of the 3rd Human and Social Sciences at the Common Conference (HASSACC). DOI: 10.18638/hassacc.2015.3.1.179.
  9. Nagy, M., & Molontay, R. (2021). Comprehensive analysis of the predictive validity of the university entrance score in Hungary. Assessment & Evaluation in Higher Education, 46(8), 1235-1253. DOI: 10.1080/02602938.2021.1871725.
  10. Nigris, E. (2010). Il passaggio fra scuola e università: un’analisi didattica. Italian Journal of Educational Research, (4), 75-90. DOI: 10.1080/02602938.2024.2364024.
  11. Núñez-Peña, M. I., Ramon-Casas, M., Cunillera, T., & Campos-Rodríguez, C. (2024). Mathematics self-concept and response pattern in higher education examinations: differences between genders. Assessment & Evaluation in Higher Education, 1-14. DOI: 10.1080/02602938.2024.2364024.
  12. Nuzzaci, A. (2015). Learning the “science of teaching”: Does the access test of Degree Course in Primary Education Sciences predicts the success in instructional design?. Italian Journal of Educational Research, (14), 227-248.
  13. Petruccelli, V., Verrastro, V., & D’Amario, B. (2008). Dalla scuola all’Università: una scelta di vita. Teorie e metodi. Ricerche e percorsi. Progetto «Attivazione di un sistema tutoriale». FrancoAngeli.
  14. Petrucci, A. (2017). Studio della valenza predittiva dei test standard CISIA per l’Ingegneria. In Orientamento e accesso all’Università L’evoluzione dei Test Standard CISIA La predittività del test sulle carriere degli studenti. Edizioni CISIA, pp. 39-70.
  15. Van Zyl, A., Gravett, S., & De Bruin, G. P. (2012). To what extent do pre-entry attributes predict first year student academic performance in the South African context?. South African Journal of Higher Education, 26(5), 1095-1111. DOI: 10.20853/26-5-210.
  16. Thompson, M., Pawson, C., & Evans, B. (2021). Navigating entry into higher education: the transition to independent learning and living. Journal of Further and Higher Education, 45(10), 1398-1410. DOI: 10.1080/0309877X.2021.1933400.

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