Journal ArticleDOI
A meta-analysis of the effects of face-to-face cooperative learning. Do recent studies falsify or verify earlier findings?
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TLDR
In this paper, a meta-analysis reveals a positive effect of cooperative learning on achievement and attitudes in primary, secondary or tertiary education conducted in real-life classrooms, and the authors investigate the effect of the study domain, the age level of the students and the culture in which the study took place.About:
This article is published in Educational Research Review.The article was published on 2013-12-01. It has received 313 citations till now. The article focuses on the topics: Cooperative learning & Formal learning.read more
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Effects of flipping the classroom on learning outcomes and satisfaction: A meta-analysis
TL;DR: This article conducted meta-analyses that included 114 studies which compared flipped and non-flipped classrooms in secondary and postsecondary education, and concluded that flipping the classroom is a promising pedagogical approach when appropriately designed.
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The Role of Collaboration, Computer Use, Learning Environments, and Supporting Strategies in CSCL : A Meta-Analysis
TL;DR: This meta-analysis synthesizes research findings on the effects of computer-supported collaborative learning based on its three main elements: (1) the collaboration per se, (2) the use of computers, and (3) theUse of extra learning environments or tools, or supporting strategies in CSCL.
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Teacher Competencies for the Implementation of Collaborative Learning in the Classroom: A Framework and Research Review.
TL;DR: In this article, the authors present a framework that draws a comprehensive picture of a teacher role that is germane to fostering student interaction in collaborative learning, including the ability to plan student interaction, monitor, support and consolidate this interaction, and finally reflect upon it.
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Can Cooperative Learning Achieve the Four Learning Outcomes of Physical Education? A Review of Literature
TL;DR: In this paper, the authors explore the empirical research in the use of cooperative learning in physical education reported on the achievement of learning in the physical, cognitive, social, and affective domains (or their equivalents).
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Ten years of Computer-Supported Collaborative Learning: A meta-analysis of CSCL in STEM education during 2005–2014
TL;DR: In this article, a meta-analysis about the effects of Computer-Supported Collaborative Learning (CSCL) in STEM education is presented, showing that the overall effect size of STEM CSCL was 0.51, a moderate but notable effect in educational research.
References
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R: A language and environment for statistical computing.
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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Conducting Meta-Analyses in R with the metafor Package
TL;DR: The metafor package provides functions for conducting meta-analyses in R and includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models.
Book
Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
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Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.
Sue Duval,Richard L. Tweedie +1 more
TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
Journal ArticleDOI
Statistical Methods for Meta-Analysis.
TL;DR: In this paper, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.