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Xiao-Ming Wang; Jing-Lin Wang; Shu-Yan Xu; Si-Jie Xu – International Journal of STEM Education, 2025
Concept mapping is a powerful educational tool that facilitates students' organization and integration of knowledge, leading to improved understanding and retention. Numerous studies have highlighted the potential of concept mapping to enhance students' achievement. However, comprehensive quantitative analyses focusing on its impact specifically…
Descriptors: Concept Mapping, STEM Education, Meta Analysis, Academic Achievement
Michael Borenstein – Research Synthesis Methods, 2024
In any meta-analysis, it is critically important to report the dispersion in effects as well as the mean effect. If an intervention has a moderate clinical impact "on average" we also need to know if the impact is moderate for all relevant populations, or if it varies from trivial in some to major in others. Or indeed, if the…
Descriptors: Meta Analysis, Error Patterns, Statistical Analysis, Intervention
Ida Lousen; Søren Andkjaer – Journal of Adventure Education and Outdoor Learning, 2025
This study aims to investigate the impact of frilufts-therapy (Nordic inspired therapeutic interventions in nature) on adolescents' mental health through a systematic literature review following PRISMA 2020 guidelines. Inclusion criteria encompassed peer-reviewed intervention studies in English, Danish, or Norwegian, quantitatively evaluated with…
Descriptors: Outdoor Education, Educational Benefits, Mental Health, Adolescents
Man Chen; James E. Pustejovksy; David A. Klingbeil; Ethan R. Van Norman – Grantee Submission, 2023
Single-case designs (SCDs) are a class of research methods for evaluating the effects of academic and behavioral interventions in educational and clinical settings. Although visual analysis is typically the first and main method for primary analysis of data from SCDs, quantitative methods are useful for synthesizing results and drawing systematic…
Descriptors: Effect Size, Meta Analysis, Intervention, Data Collection
Reza Norouzian; Zhouhan Jin; Stuart Webb – Modern Language Journal, 2025
Meta-analytic studies of second language (L2) learning typically employ a classic approach to meta-analysis. Although the classic approach can clarify findings, a multivariate, multilevel meta-analysis (3M) approach increases transparency by accounting for (a) dependencies in the evidence presented by primary studies, (b) methodological…
Descriptors: Meta Analysis, Multivariate Analysis, Notetaking, Second Language Learning
Orhan Aydin; Mehmet D. Sulu; Ceren Ari-Arat – Journal of Autism and Developmental Disorders, 2025
The current study aimed to conduct a systematic review and meta-analysis of self-management interventions for teaching daily living skills to autistic individuals. This study accessed the corresponding studies by doing a search in six databases. 14 articles and one dissertation met the inclusion criteria. The included studies were first analyzed…
Descriptors: Meta Analysis, Self Management, Databases, Autism Spectrum Disorders
Muammer Çalik; Neslhan Ültay; Hasan Bag; Alipasa Ayas – Chemistry Education Research and Practice, 2024
The purpose of this study is to "meta"-analytically evaluate research that used chemical bonding-based interventions to improve academic performance. Through "meta"-analysis, the present study used several keyword patterns (e.g., chemical bonding, experimental, chemistry education, science education) via relevant databases…
Descriptors: Chemistry, Meta Analysis, Effect Size, Intervention
Ling Zhang; Gabriel J. Stylianides; Andreas J. Stylianides – International Journal of STEM Education, 2024
Mathematical problem posing, generally defined as the process of interpreting given situations and formulating meaningful mathematical problems, is academically important, and thus several interventions have been used to enhance this competence among students and teachers. Yet little is known about the interventions' various components and their…
Descriptors: Mathematics Skills, Problem Solving, Competence, Meta Analysis
Chen Sun; Stephanie Yang; Betsy Becker – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential 21st century skill, incorporates key computer science concepts such as abstraction, algorithms, and debugging. Debugging is particularly underrepresented in the CT training literature. This multi-level meta-analysis focused on debugging as a core CT skill, and investigated the effects of various debugging…
Descriptors: Troubleshooting, Computation, Thinking Skills, Intervention
Ansyari, Muhammad Fauzan; Groot, Wim; De Witte, Kristof – Journal of Professional Capital and Community, 2022
Purpose: Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such…
Descriptors: Literature Reviews, Meta Analysis, Data Use, Faculty Development
Xiaowen Wang; Kan Kan Chan; Qianru Li; Shing On Leung – Journal of Educational Computing Research, 2024
The interest in Computational Thinking (CT) development among young learners increases with the number of studies located in literature. In this study, a meta-analysis was conducted to address two main objectives: (a) the effectiveness of empirical interventions on the development of CT in children aged of 3-8 years; and (b) the variables that…
Descriptors: Young Children, Computation, Thinking Skills, Meta Analysis
Zhiwei Liu; Haode Zuo; Yongjing Lu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, a generative artificial intelligence (GenAI) chatbot, has gained significant traction as a tool for supporting students learning. Despite its growing popularity, there is still no academic consensus on its effectiveness in enhancing students' academic achievement. Objectives: This study aims to explore the effect of ChatGPT on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Meta Analysis
Ha, Cheyeon – International Journal of Research & Method in Education, 2023
This study aims to introduce network meta-analysis (NMA) to provide educational researchers with an extended view of the reviewing educational research. Meta-analytic methods have been widely used in educational research reviews. However, weaknesses have emerged in the multi-group comparison analysis of educational studies where different…
Descriptors: Comparative Analysis, Network Analysis, Meta Analysis, Intervention
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
Jihyun Song; Chaojie Shang; Ang Chen – Quest, 2025
Guided by the content specificity perspective of motivation, the purpose of the study was to identify the extent to which student motivation level is a function of content variations. Motivation intervention studies were reviewed and categorized into content-focused and motivation-only learning contexts for meta-analysis. Original and calculated…
Descriptors: Student Motivation, Course Content, Physical Education, Intervention