A graphically based machine learning approach to predict secondary schools performance in Tunisia

S Rebai, FB Yahia, H Essid - Socio-Economic Planning Sciences, 2020 - Elsevier
The main purpose of this paper is to identify the key factors that impact schools' academic
performance and to explore their relationships through a two-stage analysis based on a …

The influence of school size, principal characteristics and school management practices on educational performance: An efficiency analysis of Italian students …

C Masci, K De Witte, T Agasisti - Socio-Economic Planning Sciences, 2018 - Elsevier
The aim of the paper is to identify which among the aspects that relate to the composition of
the student body, school (district) size, management practices and the school principals' own …

Student and school performance across countries: A machine learning approach

C Masci, G Johnes, T Agasisti - European Journal of Operational Research, 2018 - Elsevier
In this paper, we develop and apply novel machine learning and statistical methods to
analyse the determinants of students' PISA 2015 test scores in nine countries: Australia …

Studying the relationship between anxiety and school achievement: evidence from PISA data

A D'agostino, F Schirripa Spagnolo… - Statistical Methods & …, 2022 - Springer
Abstract Using the Programme for International Student Assessment (PISA) 2015 data for
Italy, this paper offers a complete overview of the relationship between test anxiety and …

Performance assessment of upper secondary schools in Italian regions using a circular pseudo-Malmquist index

AS Camanho, L Varriale, F Barbosa, T Sobral - European Journal of …, 2021 - Elsevier
This paper investigates the relationship between students' performance and the type of
school attended during upper secondary education. The performance of three different types …

Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients

C Masci, F Ieva, T Agasisti, AM Paganoni - Computational Statistics, 2021 - Springer
This paper proposes an innovative statistical method to measure the impact of the
class/school on student achievements in multiple subjects. We propose a semiparametric …

Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students

C Masci, F Ieva, T Agasisti, AM Paganoni - Socio-Economic Planning …, 2016 - Elsevier
This paper assesses the differences in educational attainments between students across
classes and schools they are grouped by, in the context of Italian educational system. The …

Semiparametric mixed effects models for unsupervised classification of Italian schools

C Masci, AM Paganoni, F Ieva - Journal of the Royal Statistical …, 2019 - academic.oup.com
The main purpose of the paper is to improve research on school effectiveness by applying a
new strategy for uncovering subpopulations of schools that differ in terms of distribution of …

School work performance in sub-Saharan Africa: A bivariate multilevel analysis

RN Kouamo - International Journal of Educational Research, 2024 - Elsevier
The objective of this study is to evaluate the internal performance of education systems in
sub-Saharan Africa. The choice of the academic performance of student work in reading and …

Merit Pay for Schoolteachers in Italy, 2015–2016: A New Regime of Education Accountability?

D Checchi, P Mattei - Comparative Education Review, 2021 - journals.uchicago.edu
In 2015, a new performance-related pay scheme was introduced for schoolteachers in Italy
as part of education accountability policies aimed at improving their performance. Beginning …