Sessions
Use of INVALSI data for research on STEM Education
Patrizia Giannantoni and Patrizia Falzetti – A Study Of Gender Differences In The Selection Of Stem Courses At University With Large Scale Assessment Data Of Invalsi
Lorenzo Maraviglia – Open Research Using Invalsi Data And Multilevel Models
Andrea Bendinelli – A Counterfactory Approach To The Evaluation Of Educational Policies: Methodology, Variables And Results
Emiliano Campodifiori – The Calculation Of Socio-Economic-Cultural Status Indicator Of Learners From Invalsi Data
Assessing student competence: current methodological issues in case studies
M. Desimoni – Mathematics achievement at the end of upper secondary school during COVID-19 pandemic: insights from the INVALSI national assessment
Clelia Cascella – An application of Differential Item and Bundle Functioning analysis to the study of gender differences in Mathematics Education: implications for educational practitioners.
Matteo Farnè, Gioia Taraborrelli – Clustering educational data: a high school students' performance analysis
Multilevel Analysis for research on STEM Education
Cristina Davino, A. L. Ranieri, Domenico Vistocco –Exploring the impact of student characteristics and social context on mathematical literacy
M. La Rocca, M. Niglio, M. Restaino – An analysis of the differences in Italian students’ performance in STEM and no-STEM courses
Rosa Fabbricatore, Lucio. Palazzo, F. Santelli – TBA
