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The aim of the study is to identify some of the main characteristics of science tasks as PISA, which discriminate the students’ performances based on their economic social and cultural status (ESCS). French results from PISA science 2015 show that the influence of students’ ESCS on their performance is one of the highest compared to OECD countries. We focus on the performance gap between French students with high and low ESCS. In order to find these characteristics that may influence students’ scores, we conduct an a priori analysis of the items that we validate by a statistical study on the scores. Several items’ characteristics identified in our analysis appear to statistically favor high ESCS students compared to low ESCS students.
Mylène Duclos, ENS (Ecole Normale Supérieure de Lyon)
Florence Le Hebel, Ecole normale supérieure de Lyon
Pascale Montpied
Andree Tiberghien, National Scientific Research Centre
Valerie Fontanieu
Ira Noveck
Jean-Baptiste Van der Henst
Jacques Jayez