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Immekus, Jason C.; Jeong, Tai-sun; Yoo, Jin Eun – Large-scale Assessments in Education, 2022
Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…
Descriptors: Foreign Countries, Secondary School Students, Artificial Intelligence, Educational Technology
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Pivovarova, Margarita; Powers, Jeanne M.; Chachkhiani, Ketevan – Education Policy Analysis Archives, 2021
In this study, we explore the potential of data from large-scale assessments to provide insights into how students' environmental knowledge could address the global challenge of environmental threats to humanity and the transition to sustainable development. We analyze data from the 2015 PISA survey to understand the extent to which 15-year old…
Descriptors: Negative Attitudes, Self Efficacy, Foreign Countries, Achievement Tests
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Meier, Markus D.; Diefenbach, Heike – Gender and Education, 2020
The OECD's Programme of International Student Assessment known as PISA, including the Gender Report published in 2015, is a well-received project and its findings keep being transferred into educational policy development. Its quantitative methodology and the sheer volume of data gathered from around 5,100,000 students from 65 countries seem to…
Descriptors: Criticism, Gender Differences, Achievement Tests, Foreign Countries
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Teng, Yuan – Asia Pacific Journal of Education, 2020
This study explores the effects of school climate on the disparities in students' mathematics achievement, drawing on data from the Programme for International Student Assessment (PISA) 2012 for Shanghai, China. The results of a two-level linear model and quantile regression indicate that three dimensions of school climate (student--teacher…
Descriptors: Educational Environment, Teacher Morale, Teacher Student Relationship, Achievement Gap
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Waluyo, Budi – Malaysian Online Journal of Educational Technology, 2019
If there are areas that have received significant impacts of ICTs, education is one of them as ICTs have stimulated major differences in the teaching approaches and the ways students learn (Yuen, Law, & Wong, 2003); however, World Bank unexpectedly excludes ICT from the key focus areas in their ESS 2020, a guideline that may be adopted by…
Descriptors: Information Technology, Educational Strategies, International Organizations, Developing Nations
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Baumann, Chris; Krskova, Hana – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to examine the role of school discipline in achieving academic performance. The study aims to clarify the role of permissive "vis-à-vis" authoritative teaching styles with an overarching hypothesis that better discipline leads to better academic performance. The authors also probe whether uniformed…
Descriptors: School Uniforms, Academic Achievement, Discipline Policy, Role
Loveless, Tom – Brookings Institution, 2017
This Brown Center Report (BCR) on American Education is the sixth and final edition in the third volume and the 16th issue overall. The series began in 2000. As in the past, the report comprises three studies. Also in keeping with tradition, the first section features recent results from state, national, or international assessments; the second…
Descriptors: Academic Achievement, Achievement Tests, International Assessment, Elementary Secondary Education
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Özcan, Zeynep Çigdem – International Journal of Mathematical Education in Science and Technology, 2016
Studies highlight that using appropriate strategies during problem solving is important to improve problem-solving skills and draw attention to the fact that using these skills is an important part of students' self-regulated learning ability. Studies on this matter view the self-regulated learning ability as key to improving problem-solving…
Descriptors: Mathematics, Mathematics Instruction, Problem Solving, Foreign Countries
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Goforth, Kate; Noltemeyer, Amity; Patton, Jon; Bush, Kevin R.; Bergen, Doris – Educational Studies, 2014
Educators are increasingly recognising the importance of improving students' mathematics achievement. Much of the current research focuses on the impact of instructional variables on mathematics achievement. The goal of this study was to examine the influence of less researched variables--family and student factors. Participants were 747…
Descriptors: Mathematics Achievement, Predictor Variables, Elementary School Students, Negative Attitudes
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Lee, Jihyun – Journal of Educational Psychology, 2014
This study investigates whether a common set of student attitudes and behavioral tendencies can account for academic achievement across different, especially high-performing, countries via analysis of the PISA 2009 international data set. The 13 countries examined are 5 of the top-performing Eastern countries/systems, namely Shanghai China, South…
Descriptors: Academic Achievement, High Achievement, Student Attitudes, Student Behavior
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Sarkova, Maria; Bacikova-Sleskova, Maria; Madarasova Geckova, Andrea; Katreniakova, Zuzana; van den Heuvel, Wim; van Dijk, Jitse P. – Educational Research, 2014
Background: The school environment has shown itself to be an important factor in explaining adolescent behaviour. The relationships and experiences that pupils have at school have been found to influence their development, psychological well-being, self-esteem and social adjustment. Purpose: The aim of the study is to explore whether there is a…
Descriptors: Well Being, Self Esteem, Teacher Student Relationship, Elementary School Students
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