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Steve Graham; Alyson A. Collins; Stephen Ciullo – Education 3-13, 2024
We present 11 evidence-based practices for teaching writing to students. These include recommendations for teaching writing to younger students (aged 5-11) and older students (aged 6-18). The recommendations are based on findings from close to 1000 investigations. The proposed recommendations are: (1) students need to write, but writing is not…
Descriptors: Evidence Based Practice, Writing Instruction, Meta Analysis, Writing Across the Curriculum
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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
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Helta Anggia; Anita Habók – MEXTESOL Journal, 2024
The effect that online extensive reading (ER) of English texts has on learners' reading comprehension and motivation to read is not well understood. The purpose of this systematic review was to examine the efficacy of online ER by examining quantitative and mixed-methods studies that examined the effect of online ER on learners' reading…
Descriptors: Secondary School Students, Reading Motivation, Reading Achievement, Reading Comprehension
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Amanda Vite; Erika A. Patall; Man Chen – Educational Psychology Review, 2024
Childhood and adolescence are pivotal developmental stages for psychological health. An understanding of psychological mechanisms related to well-being is important for promoting positive life outcomes for youth. Research generally shows that the basic psychological need for autonomy is significantly associated with well-being. To examine the…
Descriptors: Elementary School Students, Secondary School Students, Youth, Personal Autonomy
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Brianna M. Anderson; Autumn Kozluk; Marie-Chanel M. Morgan; Melissa A. MacDonald; Jonathan E. Friedel; Alison D. Cox – Journal of Behavioral Education, 2024
Previous research evaluating behavior skills training and performance feedback has largely examined factors influencing interventionist performance outcomes. However, to our knowledge, researchers have yet to compile existing literature to specifically explore characteristics associated with improved learner outcomes in the context of…
Descriptors: Intervention, Training, Outcomes of Education, Meta Analysis
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Yazid Albadarin; Mohammed Saqr; Nicolas Pope; Markku Tukiainen – Discover Education, 2024
Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in…
Descriptors: Artificial Intelligence, Computer Software, Research Reports, Meta Analysis
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Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
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Kristin K. Liu; Martha L. Thurlow; Mari Quanbeck; Jessica A. Bowman; Amy Riegelman – AERA Online Paper Repository, 2024
This presentation shares preliminary results from a literature scoping review to identify how the concept of Universal Design (UD) has been applied to district and large-scale academic assessments in the U.S. Guiding research questions were: (1) How has the concept of UD been described and applied to K-12 large-scale academic assessments? And (2)…
Descriptors: Access to Education, Elementary Secondary Education, Literature Reviews, Educational Assessment
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Nakagawa, Shinichi; Lagisz, Malgorzata; O'Dea, Rose E.; Rutkowska, Joanna; Yang, Yefeng; Noble, Daniel W. A.; Senior, Alistair M. – Research Synthesis Methods, 2021
"Classic" forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution, meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the…
Descriptors: Graphs, Meta Analysis, Ecology, Evolution
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Papakonstantinou, Theodoros; Nikolakopoulou, Adriani; Egger, Matthias; Salanti, Georgia – Research Synthesis Methods, 2021
Meta-analysis results are usually presented in forest plots, which show the individual study results and the summary effect along with their confidence intervals. In this paper, we propose a system of linear springs as a mechanical analogue of meta-analysis that enables visualization and enhances intuition. The length of a spring corresponds to a…
Descriptors: Meta Analysis, Research Methodology, Visualization, Intuition
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Hartanto; Helmi, Avin Fadila – Anatolian Journal of Education, 2021
This meta-analysis research aims to find the true correlation (true effect) between emotional intelligence and life satisfaction. In addition, it maps the dispersion of the correlation effect of the study after being corrected. This research consisted of 35 studies and involved 12,805 subjects. The estimator for this research used Hunter-Schmidt…
Descriptors: Meta Analysis, Correlation, Emotional Intelligence, Life Satisfaction
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Kwon, Deukwoo; Reddy, Roopesh Reddy Sadashiva; Reis, Isildinha M. – Research Synthesis Methods, 2021
In meta-analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are…
Descriptors: Meta Analysis, Computation, Bayesian Statistics, Computer Oriented Programs
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Campbell, Harlan; de Jong, Valentijn M. T.; Maxwell, Lauren; Jaenisch, Thomas; Debray, Thomas P. A.; Gustafson, Paul – Research Synthesis Methods, 2021
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we look into the less than ideal situation in which contributing studies may be compromised by non-differential measurement error in the exposure variable. Specifically, we consider a meta-analysis for the association between a continuous outcome variable and one or…
Descriptors: Error of Measurement, Meta Analysis, Bayesian Statistics, Statistical Analysis
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Zheng, Zhen; Zheng, Peng; Zou, Xiaobing – Journal of Autism and Developmental Disorders, 2021
The S100 calcium-binding protein beta subunit (S100B) protein, which mostly exists in the central nervous system, is commonly noted as a marker of neuronal damage. We conducted the first systematic review with meta-analysis to compare peripheral blood S100B levels in individuals with ASD with those in healthy controls. A systematic search was…
Descriptors: Metabolism, Autism, Pervasive Developmental Disorders, Meta Analysis
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Burcas, Sylvia; Cretu, Romeo Zeno – Educational Psychology Review, 2021
Over the past 20 years, many studies have shown that students' test anxiety is significantly related to their level of perfectionism. However, the reported results are relatively inconsistent, varying in both the magnitude and direction of relationships. The present study provides the first meta-analytic review of the relationships between…
Descriptors: Personality Traits, Test Anxiety, Meta Analysis, Effect Size
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