Academic Difficulties in Mathematics in Tertiary Transition: a Mixed-Methods Study at EPFL in Lausanne
Dipartimento
MATEMATICA
Corso di studi
MATEMATICA
Relatori
relatore Di Martino, Pietro
Parole chiave
didattica della matematica
difficoltà
ricerca qualitativa
ricerca quantitativa
transizione scuola-università
Data inizio appello
21/02/2025
Consultabilità
Completa
Riassunto
This dissertation investigates the academic challenges faced by students transition- ing from secondary school to university, with a particular focus on mathematics. Through a mixed-methods approach that integrates both quantitative and qualitative analyses, the study begins by examining gender disparities in academic performance in multiple-choice exams with negative marking, a widely used assessment method at EPFL. Education literature suggests that this type of evaluation may inadvertently disadvantage female students, who often adopt more cautious and risk-averse strategies. To assess these concerns, six years of data (2018–2023) from key mathematics courses Linear Algebra, Analysis I, and Analysis II are analyzed. The study employs imputation techniques to reconstruct missing data and simulate alternative grading systems that eliminate negative marking. Benchmarking and statistical tests evaluate the reliability of these methods, offering perspectives on how institutional evaluation practices may contribute to performance disparities. Building on these quantitative findings, the research delves deeper into the experiences of first-year Engineering students through a qualitative investigation inspired by similar studies at the University of Pisa. Semi-structured interviews capture how students navigate the demands of a prestigious academic environment, addressing factors such as preparation gaps, adaptation to a competitive academic culture, and self-perception as proficient in mathematics. This qualitative exploration highlights how gendered dynamics and cultural influences shape students’ perceptions of their academic abilities and the barriers they face. Finally, the dissertation critically reflects on the methodological challenges inherent to a study of this nature, including the complexities of integrating diverse data sources and ensuring the robustness of mixed-method analysis.