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Sabbagh, Clara – British Journal of Educational Psychology, 2021
Background: As a point of departure, this study assumes that teaching to impart knowledge is inseparable from its moral role to create an ethical citizenry, such as developing standards of academic integrity. Aims: The study aims at delving into how different facets of the sense of (in)justice in the classroom may play a significant role in…
Descriptors: Academic Achievement, Low Achievement, Cheating, Ethics
Vonkova, Hana; Bendl, Stanislav; Papajoanu, Ondrej – Journal of Experimental Education, 2017
The authors have studied heterogeneity in reporting behavior and its impact on the analysis of self-reports about students' dishonest behavior in schools. Two hundred sixty-five randomly chosen, seventh-grade students (typically 12 years old) from lower secondary schools in Prague 6, a district in the capital of the Czech Republic, participated in…
Descriptors: Vignettes, Grade 7, Secondary School Students, Student Surveys
Rahim, Mehrak; Goli, Atefeh – International Education Studies, 2016
The aim of the current study was investigating the role of achievement in learning English as a foreign language in EFL learners' cheating attitudes and cheating behaviors. Eight hundred junior high-school students were selected based on random cluster sampling and participated in the study. Their attitudes towards academic dishonesty and their…
Descriptors: Cheating, English Language Learners, Student Attitudes, Student Behavior
Bong, Mimi; Hwang, Arum; Noh, Arum; Kim, Sung-il – Journal of Educational Psychology, 2014
We examined the nature of self-oriented and socially prescribed perfectionism in relation to the motivation and achievement of 306 Korean 7th graders. We also tested the mediating role of domain-specific academic self-efficacy and achievement goals in the relationships between perfectionism and achievement-related outcomes across math and English.…
Descriptors: Adolescents, Personality Traits, Motivation, Self Efficacy
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
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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