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Di Liberto, Adriana; Casula, Laura; Pau, Sara – Education Economics, 2022
We study if the Italian school system suffers from gender bias when judging students. To this aim, we use a differences-in-differences approach that compares the teachers' assessments and the standardized test scores that the students receive during the school year. We have census data for all Italian fifth and sixth graders in two different…
Descriptors: Gender Bias, Outcomes of Education, Comparative Analysis, Teacher Characteristics
Sun, Jinlu; Cao, Liqun – Journal of School Violence, 2022
Most studies of school bullying in China are atheoretical. To fill the gap in the literature, we introduce criminological theories in an attempt to test propositions broadly derived from these perspectives in the study of physical bullying. Relying on data collected from 12 middle schools (Grades 7 to 9) in three cities with information on both…
Descriptors: Foreign Countries, Bullying, Middle School Students, Aggression
Partnership for Assessment of Readiness for College and Careers, 2018
The purpose of this technical report is to describe the third operational administration of the Partnership for Assessment of Readiness for College and Careers (PARCC) assessments in the 2016-2017 academic year. PARCC is a state-led consortium creating next-generation assessments that, compared to traditional K-12 assessments, more accurately…
Descriptors: College Readiness, Career Readiness, Common Core State Standards, Language Arts
Partnership for Assessment of Readiness for College and Careers, 2017
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium designed to create next-generation assessments that, compared to traditional K-12 assessments, more accurately measure student progress toward college and career readiness. The PARCC assessments are aligned to the Common Core State Standards…
Descriptors: College Readiness, Career Readiness, Common Core State Standards, Language Arts
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis