Publication Date
In 2025 | 1 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 25 |
Since 2016 (last 10 years) | 60 |
Since 2006 (last 20 years) | 99 |
Descriptor
Source
Author
Miller, David C. | 3 |
Rathbun, Amy | 3 |
Wang, Xiaolei | 3 |
Wilkinson-Flicker, Sidney | 3 |
Zhang, Jijun | 3 |
Barmer, Amy | 2 |
Bursal, Murat | 2 |
Donovan, Jenny | 2 |
Kena, Grace | 2 |
Lennon, Melissa | 2 |
Liu, Xiufeng | 2 |
More ▼ |
Publication Type
Education Level
Audience
Policymakers | 6 |
Parents | 1 |
Practitioners | 1 |
Students | 1 |
Teachers | 1 |
Location
Turkey | 17 |
Germany | 12 |
Australia | 11 |
United Kingdom | 11 |
United States | 11 |
Canada | 10 |
China | 9 |
Finland | 8 |
Italy | 8 |
France | 7 |
Hong Kong | 6 |
More ▼ |
Laws, Policies, & Programs
Individuals with Disabilities… | 3 |
Higher Education Act Title IV | 2 |
Assessments and Surveys
What Works Clearinghouse Rating
Fatma Ünal; Hakan Kogar – International Journal of Assessment Tools in Education, 2024
The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
M. Danish Shakeel; Angela K. Dills – Comparative Education, 2024
Globally, the private school share of enrollment increased from about 14 percent in 2000 to about 18 percent in 2019. We estimate the systemic effect of private enrollment share on learning outcomes. Estimates of the systemic effect of private school enrollment capture any competitive effects as well as any differences between public and private…
Descriptors: Private Schools, Mathematics Achievement, Reading Achievement, Science Achievement
Jiesi Guo; Herbert W. Marsh; Philip D. Parker; Xiang Hu – Educational Psychology Review, 2024
Our study is among the first to provide a comprehensive review of cross-national patterns of gender differences in various STEM-related constructs--achievement, beliefs, attitudes, aspirations, and participation, concerning country-level gender equality. We complement our review with empirical analyses utilizing rigorous methodologies and richer…
Descriptors: Gender Differences, STEM Education, Beliefs, Student Attitudes
Alison S. P. Wilson – Journal of Education for Students Placed at Risk, 2024
The purpose of the current study is to examine malleable school practices and norms that contribute to inequitable school learning environments based on student background. Using multilevel structural equation modeling (SEM) with the U.S. sample of PISA 2015, this study examines the extent to which student-level access to inquiry-based science…
Descriptors: Equal Education, Systems Approach, Educational Environment, Student Characteristics
Ding, Weili; Tang, Yipeng; Hu, Yongmei – Education Economics, 2023
In this paper, we analyze recently collected data that conducts a unique assessment of high school student performance for over two thousand students from five Chinese provinces. Across three domains of scientific intelligence tested, we document heterogeneous gender gaps in academic performance. These differences generally arise due to…
Descriptors: Foreign Countries, Urban Areas, Science Education, STEM Education
Schroeders, Ulrich; Jansen, Malte – Journal of Experimental Education, 2022
Academic self-concept is understood as a multidimensional, hierarchical construct. Multidimensionality refers to the subject-specific differentiation of academic self-concepts, whereas hierarchy refers to the aggregation of more specific facets of self-concepts into more general ones. Previous research demonstrated that students distinguish…
Descriptors: Self Concept, Grade 10, Secondary School Students, Foreign Countries
OECD Publishing, 2023
The OECD Programme for International Student Assessment (PISA) examines what students know in mathematics, reading and science, and what they can do with what they know. It provides the most comprehensive and rigorous international assessment of student learning outcomes to date. Results from PISA indicate the quality and equity of learning…
Descriptors: Achievement Tests, Secondary School Students, Foreign Countries, International Assessment
Lau, Kwok-Chi; Ho, Sui-Chu Esther – Research in Science Education, 2022
This study analyzes how students' reported teaching practices of their teachers and their attitudes towards science are related to the science achievements of four high-performing countries/economies in PISA 2015: Hong Kong, China, Canada, and Finland. A study of these regions can shed light on the commonalities of and differences between the…
Descriptors: Foreign Countries, Student Attitudes, Science Achievement, High Achievement
Hastürk, Gamze; Özdemir, Oguzhan – Journal of Educational Issues, 2021
The knowledge, skills and attitudes of prospective pre-school teacher towards science education enable more effective classroom practices and science teaching. Teaching scientific processes at an early age affects students' attitudes towards science in the coming years. In this context, this study was designed to examine the relationship between…
Descriptors: Preservice Teachers, Preschool Teachers, Student Attitudes, Science Education
Depren, Serpil Kiliç – Journal of Baltic Science Education, 2020
In the last decade, the usage of advanced statistical models is growing rapidly in many different disciplines. However, the Quantile Regression Mixture Model (QRMIX), which is a developed approach of the Finite Mixture Model (FMM), is an applicable new method in the educational literature. The aim of the proposed study was to determine factors…
Descriptors: Science Achievement, Comparative Education, Gender Differences, Socioeconomic Status
Marta Encinas-Martín; Michelle Cherian – OECD Publishing, 2025
Achieving gender equality in education is not only a matter of social justice: it is a catalyst for economic growth and societal well-being. This OECD report explores gender disparities in education in the Latin American and Caribbean (LAC) region, drawing on data from the Programme for International Student Assessment (PISA) and the Programme for…
Descriptors: Gender Differences, STEM Education, Sex Fairness, Inclusion
Atasoy, Ramazan; Çoban, Ömür; Yatagan, Murat – Journal of Learning and Teaching in Digital Age, 2022
We aimed to examine the effect of ICT use, parental support and student hindering on science achievement in Turkey, USA and South Korea with using PISA 2018 data. PISA is one of the biggest international assessment study aiming comparison of students' academic capabilities in science, mathematics and reading among participant countries. For this…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Parent Influence
Cairns, Dean; Dickson, Martina – Asia-Pacific Education Researcher, 2021
The United Arab Emirates (UAE) has undergone immense transformation since the discovery of oil in the late 1950s, and the educational sector has seen vivid reform. The UAE government is increasingly seeking diversification of its economy and, as a result, the country's goals heavily emphasise education in the development of its Knowledge Economy.…
Descriptors: Foreign Countries, STEM Education, Secondary School Students, Occupational Aspiration
Desmet, Ophélie Allyssa; Flaming, Natalie – AERA Online Paper Repository, 2021
There is a persistent stereotype that gifted students feel ostracized and have less sense of belonging than their normative peers. To explore this stereotype, data from 9251 15-year-old students in the U.S. were used to explore differences in the sense of belonging across achievement levels in various domains (i.e., mathematics, science, and…
Descriptors: High Achievement, Academically Gifted, Sense of Community, High School Students
Ünal, Erhan; Uzun, Ahmet Murat; Kilis, Selcan – Education and Information Technologies, 2022
This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…
Descriptors: Foreign Countries, Secondary School Students, Socioeconomic Status, Gender Differences