How to improve Employability in Engineering students: a study about student career planning and perception of labor market
DOI:
https://doi.org/10.26398/IJAS.302Keywords:
Employability, Engineering, Machine learning, Labor market, Career planningAbstract
Socio-economic factors such as unemployment among young adults have influ- enced graduates’ perception of the labor market and their career planning. In this context, education plays a central role and in particular there is the need to understand which are the most important soft skills and competences that universities should promote to en- hance employability among students. The aim of this paper, therefore, is to investigate engineering student perception of labor market and career planning. Data was collected by means of a questionnaire administered to engineering students of the University of Padova and analyzed by applying suitable machine learning models to investigate the relationship between student perception of the labor market and career planning, and several factors. Results of the analysis and their educational and social implications are presented and discussed.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Statistica Applicata - Italian Journal of Applied Statistics
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.