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Niepel, Christoph; Stadler, Matthias; Greiff, Samuel – Journal of Educational Psychology, 2019
Although female students' overall performance in mathematics is on a par with the performance of male students, female students tend to report lower levels of mathematics self-concept (MSC) than their male schoolmates. With the present study, we examined for the first time whether occupational gender diversity (i.e., a balanced gender ratio) in…
Descriptors: Sex Fairness, Student Diversity, STEM Education, Self Concept
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Tavsancil, Ezel; Yildirim, Ozen; Bilican Demir, Safiye – Eurasian Journal of Educational Research, 2019
Purpose: The aim of the study was to investigate the extent students' learning strategies and reading enjoyment variables predicted PISA 2009 reading achievement, and to examine whether reading enjoyment had a mediator effect in the relationship between reading achievement and learning strategies. Methods: In this correlational study, Turkey PISA…
Descriptors: Reading Attitudes, Reading Achievement, Performance Factors, Learning Strategies
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Spaull, Nic – Assessment in Education: Principles, Policy & Practice, 2019
New evidence presented in this paper shows that existing accounts of Programme for International Student Assessment (PISA) in developing countries underestimate both progress and inequality because they do not take into account the large proportion of 15-16-year olds who are ineligible for the PISA sampling frame, primarily due to dropout or…
Descriptors: Achievement Tests, Foreign Countries, Secondary School Students, International Assessment
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Tan, Cheng Yong; Hew, Khe Foon – International Journal of Science and Mathematics Education, 2019
This study critically examines if digital divides, comprising access to and use of information technology (IT) in two spheres (schools and at home), affect student achievement in Confucian heritage cultures (CHCs). The sample comprised 38,158 students from 1030 schools in seven CHCs who participated in Program for International Student Assessment…
Descriptors: Access to Computers, Disadvantaged, Mathematics Achievement, Confucianism
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Burns, Matthew K.; Young, Helen – Journal of Psychoeducational Assessment, 2019
Measures of Academic Progress (MAP) Skills is a web-based assessment system published by Northwest Evaluation Association (NWEA). The test publishers purport that MAP Skills provides information about essential K-8 building blocks in Language Usage, Mathematics, Reading Comprehension, and Vocabulary to quickly assess student progress toward…
Descriptors: Achievement Tests, Language Skills, Mathematics Skills, Reading Comprehension
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Knight, Madison F.; Perfect, Michelle M. – School Psychology, 2019
This study examined how children's and adolescents' with Type 1 diabetes mellitusglucose levels during and prior to academic assessment contributed to performance on reading, writing, and mathematics tasks. Participants had a mean age of 13.69 (SD = 2.10); 44.6% were female and 58.1% reported their ethnicity to be Hispanic, Latino, or Mexican.…
Descriptors: Children, Adolescents, Diabetes, Eating Habits
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Marks, Gary N.; Pokropek, Artur – Oxford Review of Education, 2019
This study examines the influence of family income on student achievement in mathematics utilising data from the parents' questionnaire for nine countries participating in the OECD's 2012 PISA study. It finds non-trivial effects for family income that were consistently larger than, or comparable to, the effects of more commonly used measures of…
Descriptors: Family Income, Socioeconomic Status, Mathematics Achievement, Foreign Countries
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Duncan, Robert J.; Schmitt, Sara A.; Vandell, Deborah Lowe – Developmental Psychology, 2019
This study examines associations between stimulating-responsive social interactions with mothers and nonparental childcare providers during the first 3 years of life and children's vocabulary and mathematics skills through age 15 (N = 1,364). Additive relations were found in which more stimulating-responsive interactions with mothers and with…
Descriptors: Mothers, Parent Child Relationship, Toddlers, Infants
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Brown, Michael J.; Earthman, Glen I. – Educational Planning, 2019
The purpose of this study was to examine large and small high schools in Virginia to try to understand if the high school student population size influenced the student achievement of eleventh grade students based on identified predictor variables. From the literature review, the main research question, five guiding questions, and a methodology…
Descriptors: Academic Achievement, Attendance, Socioeconomic Status, Grade 11
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Anderson, Daniel – School Effectiveness and School Improvement, 2019
Much research has evaluated teacher- or school-level variance in students' achievement as a proxy for teacher or school effects. These effects have almost exclusively been estimated across years with state-level testing data. In this paper, interim assessment data, collected across 9 time points in the fall, winter, and spring of Grades 3 to 5…
Descriptors: Reading Achievement, Mathematics Achievement, Achievement Gains, Teacher Effectiveness
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Keppens, Gil; Spruyt, Bram – Youth & Society, 2019
This study contributes to the literature on school-based strategies to prevent and reduce truancy by investigating the relationship between an authoritative school climate and class skipping. We use data from The Programme for International Student Assessment with 15-year-old pupils (N = 2,539) in secondary education in Flanders, the…
Descriptors: Socialization, Attendance, Student School Relationship, Secondary School Students
Beghetto, Ronald A. – ECNU Review of Education, 2019
Purpose: This article, based on an invited talk, aims to explore the relationship among large-scale assessments, creativity and personalized learning. Design/Approach/Methods: Starting with the working definition of large-scale assessments, creativity, and personalized learning, this article identified the paradox of combining these three…
Descriptors: Measurement, Creativity, Problem Solving, Artificial Intelligence
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Aksu, Gokhan; Reyhanlioglu Keceoglu, Cigdem – Eurasian Journal of Educational Research, 2019
Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…
Descriptors: Regression (Statistics), Data Collection, Information Retrieval, Predictor Variables
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Pal, Yatendra; Agrawal, Riddhi – Journal on School Educational Technology, 2019
The use of innovative methods in educational institutions is not just crucial, it is downright imperative. It has the potential to not just improve education system, but also to empower students, strengthen governance, and create retention value of all that has been taught. Gone are the days of archaic ideologies and methods of teaching. In modern…
Descriptors: Educational Technology, Computer Oriented Programs, Instructional Effectiveness, Elementary School Students
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Chambers, Rebecca G.; Asarta, Carlos J.; Farley-Ripple, Elizabeth N. – Journal of Financial Counseling and Planning, 2019
This study examines the gender gap in financial literacy by using the Financial Literacy Assessment from the OECD's Programme for International Student Assessment (PISA). The analysis focuses on the influence of parents on their children's understanding of financial concepts, utilizing multilevel modeling procedures to examine variance among…
Descriptors: Gender Differences, Money Management, Literacy, Parent Child Relationship
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