Search results for "student performance"
showing 9 items of 9 documents
Gender differences in Italian STEM degree courses: a discrete-time competing-risks model
2020
In this paper, we highlight possible gender differences in performance of students attending Italian university STEM degree courses, controlling for sociodemographic and territorial variables.We used the micro-data from the Italian Ministry of Education, Universities and Research database of the 2011-12 freshmen cohort enrolled at an Italian bachelor university degree course. The analysis was dealt with by fitting a discrete-time competing-risks model. Bachelor degree graduation, dropout, and change to non-STEM courses were considered as competing events. The aim is to highlight gender gaps in the student performance, and the STEM courses where this gap is more critical.
University student talent: the real driver for performance?
2017
Investigation about the university student performance, and its measurement, are very crucial issues for any policy maker. Since the economic crisis, jobs market requires even higher skills and competences. Literature offers a lot of papers about the university student quality and performance, in order to identify the main determinants of them. Often, results are very different, and they seems to hold just in a specific context. This paper aims to investigate the role of a latent variable that can take into account the student motivation, aptitude, and abilities, here conveniently called talent. A random effect Quantile Regression on a new measure of Italian student performance has been ado…
The student talent in a random effects Quantile Regression Model for university performance
2013
This paper is a development of a previous work on performance of Italian university students. A Quantile Regression was carried out on a proposed performance indicator, based on a transformation of the median of the marks weighted by credits. Results suggested to investigate the role of students peculiar features on their performance, measured by the transformation of the weighted marks. Therefore, a random intercept Quantile Regression model is fitted on real data concerning graduates over the legal university duration set in Italy, enrolled in 2002 in two Degree Courses of the University of Palermo. Results show that the student performance seems to be influenced by the student's aptitude…
Foreign Students in Italian Universities: A Statistical Analysis of the Last Decade
2021
In recent years university students’ mobility has become increasingly important at a national level. It has been the subject of numerous studies on the South-Centre and South-North mobility flows of Italian students who choose university out of their residence region. The aim is twofold: to provide quantitative information on the university enrollment of the foreign students in the Italian universities (the size of the flows of foreign students enrolled at Italian universities, according to some socio-demographic characteristics); to measure the dropout rates and the time taken to obtain the degree comparing to the Italian students. Foreign students (FS) were classified into two groups: stu…
ANALISI DELLE CARRIERE UNIVERSITARIE NELLE LAUREE SCIENTIFICHE DI BASE IN ITALIA NELL’ULTIMO DECENNIO
2018
An analysis of italian university science students’ careers in the last decade · This paper deals with the study of Italian university science careers by analyzing administrative longitudinal data from the Italian Ministry of Education. Three freshmen cohorts enrolled in a three-year degree course 2011/12, 2014/15, and 2016/17 are analyzed in three time points : at enrolment, in order to assess their choices with respect to their individual characteristics ; at the beginning of the second year, in order to assess who moves to another course and who drops out ; at the fourth year, in order to determine the “best” students’ profiles. The students’ variables involved are gender, type of school…
COGNITIVE DEPTH OF TEACHING AND LEARNING PROCESS IN BIOLOGY FROM 7TH TILL 9TH GRADE
2018
From OECD PISA Science test results presented in 2016 shows that in Latvia only 3,4% of students performance is in accordance to the 5th and 6th performance level (higher order cognitive skills (HOCS) measured), which is below OECD average. In Latvia from 2016 started Curriculum Development and Implementation project, which one of the priorities is student’s ability to apply HOCS (higher order cognitive skills) to improve these results. The development of deeper thinking (cognitive activity) is one of the most advanced skills in all subjects, including biology. In order to reduce the risks, it is necessary to analyze introducing new reforms the opportunities for students to develop HOCS th…
How to predict university performance: a case study of a prestigious Turkish university
2016
International audience; Turkey's education system is based on a centralized selection system, starting from secondary education level. For post-secondary studies, students are sorted according to their scores in a competitive national exam. By statute, Galatasaray University, a French speaking institution founded in 1992 by Turkey and France, enrolls half of its students from the very best candidates while the other half comes from French speaking high schools (relatively top-ranked). These students must be classified amongst the first 25,000 in the national competition to be admitted as well as passing a competitive exam in French, although their national ranking remains lower than the fir…
Hints of latent drivers investigating university student performance
2018
Job market, nowadays, asks for higher and higher skills and competences. Therefore, also the measurement and assessment of the university students performance are crucial issues for policy makers. Although the scientific literature provides several papers investigating the main determinants of university student performance, often results are very different, and they seem to hold just in very specific contexts. This paper aims to contribute to the international literature, focusing on the role of student specific characteristics, supporting the idea that unobservable variables (such as motivation, aptitudes or abilities) should be more investigated.
STUDENT GRAPHICAL INFORMATION LITERACY IN MATHEMATICS AND SCIENCE
2017
Among the most important 21st century skills that every student needs are the ability to work with information. The key for implementing competency based approach to learning will be related to how students' ability to apply skills acquired in, for example, mathematics can be transferred to other subject contexts. Newest OECD PISA results presented in 2016 show a recurring tendency that in Latvia there is a small number of students whose performance is in accordance to the 5th and 6th level of the framework. These two levels represent students' ability to apply deep thinking skills in new learning contexts. It is necessary to analyze the causes of this situation in order to identify opportu…