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Ildefonso Mendez; Gema Zamarro – Annenberg Institute for School Reform at Brown University, 2025
We consider the effect of teaching practices on the persistence of school-entry age effects caused by rigid cutoff dates for school eligibility in Spain. We document significant school-entry age effects for the same cohort of students when they were in elementary and secondary school. Then, we test whether school-entry age effects at age 15 are…
Descriptors: Teaching Methods, School Entrance Age, Eligibility, Educational Policy
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Huang, Liang; Huang, Yating; Zhou, Shike – Educational Management Administration & Leadership, 2023
While principal leadership has been exercised in day-to-day practices to address the needs of teachers as professional learners, empirical studies regarding its effects on teacher professional learning have not increased proportionally. Using a sample of 255 secondary school principals and 2756 teachers from four provinces of Beijing, Shanghai,…
Descriptors: Foreign Countries, Principals, Instructional Leadership, Faculty Development
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Tze, Virginia M. C.; Li, Johnson C.-H.; Daniels, Lia M. – Research Papers in Education, 2022
Although previous research showed that discrete social-emotional skills such as empathy, motivation, and social relationships in school significantly predict achievement, students tend to use various social-emotional skills in combination. As such previous investigations cannot comment on how different combinations or profiles of students'…
Descriptors: Social Emotional Learning, Empathy, Prediction, Academic Achievement
OECD Publishing, 2018
Schools are not just four walls inside of which students learn how to read, write and think. Schools provide a venue where young people meet each other, and where they develop relationships and friendships that may last for decades. At school, students socialise and hone the interpersonal skills that are required to function effectively in the…
Descriptors: Cooperative Learning, International Cooperation, Interpersonal Competence, Problem Solving
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Cheema, Jehanzeb; Kitsantas, Anastasia – Educational Psychology, 2016
This study investigated the predictiveness of preferred learning styles (competitive and cooperative) and classroom climate (teacher support and disciplinary climate) on learning strategy use in mathematics. The student survey part of the Programme for International Student Assessment 2003 comprising of 4633 US observations was used in a weighted…
Descriptors: High School Students, Learning Strategies, Prediction, Preferences
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Ma, Vania J.; Ma, Xin – International Journal of STEM Education, 2014
Background: As an effort to account for disparities in mathematics performance between American and East Asian middle school students, the present research aims to compare the relationship between learning styles (competitive and cooperative) and mathematics performance among middle school students between the USA and the three top-performing East…
Descriptors: Cognitive Style, Comparative Analysis, Mathematics Instruction, Mathematics Achievement
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Cooper, Kristy S. – American Educational Research Journal, 2014
This case study analyzes how and why student engagement differs across 581 classes in one diverse high school. Factor analyses of surveys with 1,132 students suggest three types of engaging teaching practices--connective instruction, academic rigor, and lively teaching. Multilevel regression analyses reveal that connective instruction predicts…
Descriptors: Teaching Methods, High School Students, Learner Engagement, Regression (Statistics)
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