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Liu, Yue; Wang, Chuang; Liu, Jian; Liu, Hongyun – Educational Psychology, 2022
The primary goals of this study are to investigate if cognitive activation increases mathematics self-efficacy, which in turn alleviates anxiety and to examine the moderating role of internal migrant status. Hierarchical linear models and multilevel structural equation models were employed to datasets of 3088 fourth graders from 57 classrooms in…
Descriptors: Mathematics Skills, Self Efficacy, Mathematics Anxiety, Migrant Children
Svenja Vieluf; Markus N. Sauerwein – European Educational Research Journal, 2024
Based on Honneth's recognition theory, this study aimed at investigating whether students with a migration background reported receiving less recognition from teachers than students without a migration background. Also, we explored whether such a difference contributed to explaining the disparity between the groups in reading achievement. To…
Descriptors: Foreign Countries, Elementary School Students, Grade 5, Elementary School Teachers
Yuan, Kun; Le, Vi-Nhuan – RAND Corporation, 2014
In 2010, the William and Flora Hewlett Foundation's Education Program has established the Deeper Learning Initiative, which focuses on students' development of deeper learning skills (i.e., the mastery of core academic content, critical-thinking, problem-solving, collaboration, communication, and "learn-how-to-learn" skills). Two test…
Descriptors: Test Items, Cognitive Processes, Difficulty Level, Skill Development
Ciascai, Liliana – Acta Didactica Napocensia, 2009
The results of Romanian school students in Science PISA and TIMSS testings have been and continue to be systematically slack. In the present paper we intend to do a comparative analysis of Science curriculum TIMSS 2007 and Romanian Science school curricula of 4th and 8th grades. This analysis, based on Bloom's taxonomy of cognitive domain,…
Descriptors: Foreign Countries, Achievement Tests, Comparative Analysis, Grade 4
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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