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Yeong Sheng Tey; Mark Brindal – Journal of Agricultural Education and Extension, 2024
Purpose: Accelerating the adoption of intensification methods is critical for improving African agricultural productivity growth. This study synthesizes the effect of determinants underlying the speed of adoption of agricultural intensification methods in Africa. Design/Methodology/Approach: A systematic literature search was conducted using…
Descriptors: Meta Analysis, Agricultural Engineering, Foreign Countries, Adoption (Ideas)
Margoni, Francesco; Block, Katharina; Hamlin, Kiley; Zmyj, Norbert; Schmader, Toni – Developmental Psychology, 2023
Can well-documented gender differences in evaluations of prosocial versus antisocial actions found in childhood and adulthood be traced to sex differences in basic sociomoral preferences in infancy? We provide an answer to this question by meta-analyzing sex differences in preference for prosocial over antisocial agents in a set of 53 samples of…
Descriptors: Gender Differences, Infants, Toddlers, Prosocial Behavior
Linlin Hu – Journal of Educational Computing Research, 2024
This study employs meta-analysis to synthesize findings from 30 articles investigating gender differences in computational thinking (CT) among K-12 students. Encompassing 51 independent effect sizes, the meta-analysis involves a participant pool of 9181 individuals from various countries, comprising 4254 males and 4927 females. Results indicate…
Descriptors: Gender Differences, Computation, Thinking Skills, Elementary School Students
Sedat Sen; Süreyya Yörük – Journal of Creative Behavior, 2023
The Kaufman Domains of Creativity Scale (K-DOCS) is a self-reported rating scale that measures creative behaviors in five areas. Despite the vast amount of research on the scale, the internal consistency reliability of K-DOCS scores have not been examined. Specifically, there is no study on the overall reliability coefficients, the variation in…
Descriptors: Meta Analysis, Creativity, Rating Scales, Reliability
Öz, Eda – SAGE Open, 2022
Examining gender differences in learning is of critical importance in terms of revealing any potential inequalities. Although gender differences in lifelong learning tendencies are often examined in individual studies in the literature, the relevant findings are found to be inconsistent. In this study, a meta-analysis was carried out to…
Descriptors: Gender Differences, Lifelong Learning, Foreign Countries, Meta Analysis
Wenhao Yu; Jiaqi He; Julan Luo; Xiaoyan Shu – Journal of Computer Assisted Learning, 2024
Background: Although gender inequality in education is gaining increasing attention, female underrepresentation remains pervasive in STEM fields. Many studies have applied various interventions to narrow the gender gap in STEM education. Objectives: In this study, we conducted a systematic meta-analysis to examine the effectiveness of various…
Descriptors: Intervention, Sex Fairness, STEM Education, Females
Sookyoung Son; Yoona Jang; Miri Yoon – Journal of Career Development, 2025
This study examines how self-esteem and social support (parental, teacher, and peer) influence the career maturity of Korean adolescents over time. By synthesizing findings from 18 longitudinal studies, a meta-analysis was conducted. Results reveal that while self-esteem initially shows a strong correlation with career maturity, this relationship…
Descriptors: Foreign Countries, Adolescents, Vocational Maturity, Longitudinal Studies
Brunner, Martin; Keller, Lena; Stallasch, Sophie E.; Kretschmann, Julia; Hasl, Andrea; Preckel, Franzis; Lüdtke, Oliver; Hedges, Larry V. – Research Synthesis Methods, 2023
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…
Descriptors: Meta Analysis, Surveys, Research Design, Educational Research
Keller, Lena; Preckel, Franzis; Eccles, Jacquelynne S.; Brunner, Martin – Journal of Educational Psychology, 2022
The present integrative data analysis examined gender differences in achievement, achievement profiles, and achievement motivation in mathematics, reading, and science among 113,864 top-performing adolescent math students (top 5% in their respective countries). To do this, we applied the same analysis protocol to representative individual…
Descriptors: High Achievement, Mathematics Education, Comparative Education, Gender Differences
William H. Jeynes – Education and Urban Society, 2024
This paper shares the results of a meta-analysis on the parental-relational component of parental-involvement and its association with the academic and behavioral outcomes of urban students. This meta-analysis includes 76 quantitative studies. The results indicated that statistically significant effects emerged across students of different…
Descriptors: Meta Analysis, Parent Participation, Student Characteristics, Gender Differences
Looi, Kim Hoe – Tertiary Education and Management, 2022
E-learning was abruptly adopted as a strategic response to the sudden closure of institutions of learning induced by the COVID-19 pandemic. In contrast to the conventional voluntary adoption of e-learning, this study aims to explore a new trail by drawing challenges of e-learning eclectically from recent literature to develop an alternative…
Descriptors: Undergraduate Students, Learning Processes, Blended Learning, Preferences
Lappalainen, Sirpa; Odenbring, Ylva – Ethnography and Education, 2020
This article provides a meta-analysis of what characterises existing ethnographic research on gender and class in the context of Nordic early childhood education. The encompasses research on education and gender or social class in the Nordic countries published in Nordic and non-Nordic scientific journals as well PhD theses published in the Nordic…
Descriptors: Gender Differences, Social Class, Meta Analysis, Ethnography
Ergen, Binnur; Yelken, Tugba Yanpar; Kanadli, Sedat – Contemporary Educational Technology, 2019
The purpose of this study is, by using meta-analysis method, to examine whether there is a significant difference in the effect size of the Technological Pedagogical Content Knowledge (TPACK) according to gender. For this purpose, it was examined whether both Technological Pedagogical Content Knowledge and the knowledge types related to TPACK…
Descriptors: Meta Analysis, Gender Differences, Technological Literacy, Pedagogical Content Knowledge
Li, Meijuan; Zhang, Yongmei; Liu, Hongyun; Hao, Yi – British Journal of Educational Psychology, 2018
Background: The topic of gender differences in mathematical performance has received considerable attention in the fields of education, sociology, economics and psychology. Aims: We analysed gender differences based on data from the Beijing Assessment of Educational Quality in China. Sample: A large data set of Grade 5 and Grade 8 students who…
Descriptors: Foreign Countries, Gender Differences, Mathematics Achievement, Meta Analysis
Wang, Min; Yu, Zhonggen – International Journal of Information and Communication Technology Education, 2022
The use of social media such as Twitter has gained popularity in education during the COVID-19 pandemic. This study included 22 high-quality peer-reviewed journal articles for the meta-analysis. The authors reveal that there are no significant differences in teaching effectiveness between the Twitter and non-Twitter-assisted learning approaches.…
Descriptors: Meta Analysis, Pandemics, COVID-19, Outcomes of Education