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Katlynn Dahl-Leonard; Colby Hall; Delanie Peacott – Educational Technology Research and Development, 2024
Technology to support student learning has become increasingly prevalent in schools and homes during the last few decades. Several recent reviews have examined aspects of technology-based literacy instruction, but they have not focused on the full array of literacy skills that can be addressed during technology-delivered instruction for elementary…
Descriptors: Meta Analysis, Literacy Education, Kindergarten, Elementary School Students
Luisa Cacciante; Giorgia Pregnolato; Silvia Salvalaggio; Sara Federico; Pawel Kiper; Nicola Smania; Andrea Turolla – International Journal of Language & Communication Disorders, 2024
Background: Humans often use co-speech gestures to promote effective communication. Attention has been paid to the cortical areas engaged in the processing of co-speech gestures. Aims: To investigate the neural network underpinned in the processing of co-speech gestures and to observe whether there is a relationship between areas involved in…
Descriptors: Speech Communication, Nonverbal Communication, Brain, Correlation
Dominika Majewska; Martin Johnson – Educational Research, 2024
Background: Internationally, research comparing education systems across countries and jurisdictions is valuable and can elicit nuanced insights into how particular systems operate. This paper's interest lies in considering the scope and content of research comparing education systems across the four UK nations (England, Northern Ireland, Scotland…
Descriptors: Foreign Countries, Educational Research, Comparative Education, Educational Policy
Qing Yu – Interactive Learning Environments, 2024
Motion-sensing technology (MST) is an emerging educational technology with great potential. However, the effects of MST on language learning are still controversial. This is the first meta-analysis to examine the effectiveness of MST-assisted language learning. This research integrates 31 effect sizes from 21 independent studies (2013-2022). The…
Descriptors: Movement Education, Technology Uses in Education, Educational Technology, Second Language Learning
Emma R. Hart; Drew H. Bailey; Sha Luo; Pritha Sengupta; Tyler W. Watts – Annenberg Institute for School Reform at Brown University, 2024
Researchers and policymakers aspire for educational interventions to change children's long-run developmental trajectories. However, intervention impacts on cognitive and achievement measures commonly fade over time. Less is known, although much is theorized, about social-emotional skill persistence. The current meta-analysis investigated whether…
Descriptors: Literature Reviews, Meta Analysis, Children, Adolescents
Xiaolin Wang; Xuezhen Yang; Nasnoor Juzaily bin Mohd Nasiruddin; Shasha Wei; Delong Dong; Shamsulariffin bin Samsudin – Health Education & Behavior, 2024
Although physical activity (PA) has a profound impact on health, many college and university students are still physically inactive. There is some evidence to suggest that social support (SS) could impact the PA levels of students, but the internal relationship and specific effects are not very clear. The purpose of this review was to determine…
Descriptors: Physical Activity Level, College Students, Social Support Groups, Gender Differences
Okta Alpindo; Edi Istiyono; Widihastuti; Erna Andriyanti – Journal of Teaching and Learning, 2024
Metacognition refers to the capacity to comprehend and manage one's own cognitive processes, enabling the recognition of biases and presumptions that might influence them. Numerous published studies indicate that through metacognition, enhancements in critical-thinking skills allow individuals to query information, assess data, and make more…
Descriptors: Critical Thinking, Measurement Techniques, Metacognition, Decision Making
Luis Francisco Vargas-Madriz; Chiaki Konishi; Tracy K. Wong – Social Development, 2024
School engagement is a multidimensional concept describing how students behave, feel, and think. Previous meta-analyses suggest that school engagement may be underpinned by specific aspects of teacher support. However, given that school engagement is also multifaceted, it is important to examine how each aspect of school engagement is related to…
Descriptors: Meta Analysis, Teacher Student Relationship, Learner Engagement, Language Usage
Elisabeth J. Malone; Kathleen N. Zimmerman; Sean Joo; Gospel Y. Kim; Kelsey H. Smith – Topics in Early Childhood Special Education, 2024
A best-evidence synthesis and meta-analysis were conducted to evaluate interventions designed to decrease noncompliance in early childhood settings. Studies were examined for quality, intervention components, and outcomes for young children (ages 2-8 years) across settings. Results indicated most designs were high-quality and produced desired…
Descriptors: Intervention, Compliance (Psychology), Meta Analysis, Toddlers
Khan, Anupam; Ghosh, Soumya K. – Education and Information Technologies, 2021
Student performance modelling is one of the challenging and popular research topics in educational data mining (EDM). Multiple factors influence the performance in non-linear ways; thus making this field more attractive to the researchers. The widespread availability of educational datasets further catalyse this interestingness, especially in…
Descriptors: Academic Achievement, Prediction, Data Analysis, Meta Analysis
Mathur, Maya B.; VanderWeele, Tyler J. – Research Synthesis Methods, 2021
Meta-regression analyses usually focus on estimating and testing differences in average effect sizes between individual levels of each meta-regression covariate in turn. These metrics are useful but have limitations: they consider each covariate individually, rather than in combination, and they characterize only the mean of a potentially…
Descriptors: Regression (Statistics), Meta Analysis, Effect Size, Computation
Brannick, Michael T.; French, Kimberly A.; Rothstein, Hannah R.; Kiselica, Andrew M.; Apostoloski, Nenad – Research Synthesis Methods, 2021
Tolerance intervals provide a bracket intended to contain a percentage (e.g., 80%) of a population distribution given sample estimates of the mean and variance. In random-effects meta-analysis, tolerance intervals should contain researcher-specified proportions of underlying population effect sizes. Using Monte Carlo simulation, we investigated…
Descriptors: Meta Analysis, Credibility, Intervals, Effect Size
Latimier, Alice; Peyre, Hugo; Ramus, Franck – Educational Psychology Review, 2021
Spaced retrieval practice consists of repetitions of the same retrieval event distributed through time. This learning strategy combines two "desirable difficulties": retrieval practice and spacing effects. We carried out meta-analyses on 29 studies investigating the benefit of spacing out retrieval practice episodes on final retention.…
Descriptors: Meta Analysis, Recall (Psychology), Retention (Psychology), Statistical Analysis
Georgiou, George K.; Martinez, Dalia; Vieira, Ana Paula Alves; Guo, Kan – Annals of Dyslexia, 2021
The purpose of this meta-analysis was to examine if individuals with dyslexia (DYS) have a deficit in orthographic knowledge. We reviewed a total of 68 studies published between January 1990 and December 2019, representing a total of 7215 participants. There were 80 independent samples in the chronological-age (CA)-DYS comparison and 33…
Descriptors: Orthographic Symbols, Dyslexia, Meta Analysis, Effect Size
Are Metacognition Interventions in Young Children Effective? Evidence from a Series of Meta-Analyses
Janina Eberhart; Franziska Schäfer; Donna Bryce – Metacognition and Learning, 2025
A metacognitive learner acts in a planful way, monitors their progress, flexibly adapts their strategies, and reflects on their learning. Unsurprisingly, a metacognitive approach to learning is an important predictor of children's academic performance and many attempts have been made to promote metacognition in young children. The current…
Descriptors: Metacognition, Intervention, Meta Analysis, Young Children

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