The paper aims at analyzing, in a retrospective way, the performance of a cohort of 13,452 students, who, in the academic year 2008-09, were enrolled for a one year more than the scheduled years to take their degree, to examine their university behavior depending on the events happened from the beginning of their university career (the main career events may be: transfer to another university, abandon, change of course, to take a degree). Through the use of segmentation trees, we would like to verify the influence of some explanatory variables (sex, type of faculty and course of study, type of previous diploma) on students’ behavior, in order to track some student profiles, based on different events. Some indicators will be calculated (eg. drop-out rate, graduation rate, etc.) and they will be put in relation with some quantitative explanatory variables (maturity grade, average exams grade) in order to verify whether the performances during the university period and, before, at the college, influence the student behavior, so they can be taken as a predictor.
Analisi retrospettiva di un collettivo di immatricolati presso l’Università degli Studi di Bari Aldo Moro con gli alberi di segmentazione binaria
D'UGGENTO, ANGELA MARIA;
2011-01-01
Abstract
The paper aims at analyzing, in a retrospective way, the performance of a cohort of 13,452 students, who, in the academic year 2008-09, were enrolled for a one year more than the scheduled years to take their degree, to examine their university behavior depending on the events happened from the beginning of their university career (the main career events may be: transfer to another university, abandon, change of course, to take a degree). Through the use of segmentation trees, we would like to verify the influence of some explanatory variables (sex, type of faculty and course of study, type of previous diploma) on students’ behavior, in order to track some student profiles, based on different events. Some indicators will be calculated (eg. drop-out rate, graduation rate, etc.) and they will be put in relation with some quantitative explanatory variables (maturity grade, average exams grade) in order to verify whether the performances during the university period and, before, at the college, influence the student behavior, so they can be taken as a predictor.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
