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Direct linkTiruchittampalam, Shanthi; Nicholson, Tom; Levin, Joel R.; Ferron, John M. – Journal of Educational Research, 2018
What causes the literacy gap and can schools compensate for it? The authors investigated 3 drivers of the gap: preliteracy knowledge, schooling, and the summer vacation. Longitudinal literacy data over 5 time points were collected on 126 five-year-olds attending higher or lower socioeconomic status (SES) schools during their first 15 months of…
Descriptors: Elementary School Students, Longitudinal Studies, Socioeconomic Status, Prereading Experience
Grabau, Larry J.; Ma, Xin – International Journal of Science Education, 2017
Using data from the 2006 Program for International Student Assessment (PISA), we explored nine aspects of science engagement (science self-efficacy, science self-concept, enjoyment of science, general interest in learning science, instrumental motivation for science, future-oriented science motivation, general value of science, personal value of…
Descriptors: Science Education, Learning Motivation, Learner Engagement, Science Achievement
Download full textYalcin, Seher; Demirtasli, Rahime Nükhet; Dibek, Munevver Ilgun; Yavuz, Hatice Cigdem – International Journal of Progressive Education, 2017
This study investigated effect of student- and school-level variables on mathematics achievement of fourth- and eighth-grade students using the Trends in International Mathematics and Science Study (TIMSS) 2011 data of Turkey. The common variables addressed in student and school questionnaires were compared. Due to nested structure of the TIMSS…
Descriptors: Foreign Countries, Teacher Characteristics, Student Characteristics, Elementary Secondary Education
Magen-Nagar, Noga – International Journal of Research in Education and Science, 2016
The purpose of the current study is to explore the effects of learning strategies on Mathematical Literacy (ML) of students in higher and lower achieving countries. To address this issue, the study utilizes PISA2002 data to conduct a multi-level analysis (HLM) of Hong Kong and Israel students. In PISA2002, Israel was rated 31st in Mathematics,…
Descriptors: Mathematics Skills, Learning Strategies, Mathematics Achievement, Cross Cultural Studies
Ning, Bo; Van Damme, Jan; Gielen, Sarah; Vanlaar, Gudrun; Van den Noortgate, Wim – Scandinavian Journal of Educational Research, 2016
Finland and Shanghai are strong performers in the Program for International Student Assessment (PISA). The current study explored the similarities and differences in educational effectiveness between these 2 strong performers. To this end, 14 predictors representing student background and school process characteristics were selected from the PISA…
Descriptors: Foreign Countries, Reading Achievement, Comparative Education, Instructional Effectiveness
Liou, Pey-Yan – Asia-Pacific Education Researcher, 2014
The purpose of this study is to examine the relationships between fourth and eighth grade students' self-concept and achievement in mathematics and science within one educational system based on the big-fish-little-pond effect (BFLPE) model. The samples were from the data of the Trends in International Mathematics and Science Study 2011, and…
Descriptors: Foreign Countries, Student Attitudes, Self Concept, Mathematics Achievement
Shields, Katherine A.; Walsh, Mary E.; Lee-St. John, Terrence J. – Journal of Catholic Education, 2016
Much of the achievement gap between rich and poor students can be attributed to out-of-school factors, yet few schools have a comprehensive, coordinated system for addressing students' nonacademic needs. Within a group of Catholic schools located in one city, this study examined academic achievement on the Stanford Achievement Test battery in…
Descriptors: Catholic Schools, Urban Schools, Academic Achievement, Achievement Gap
