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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
Hans-Peter Piepho; Laurence V. Madden; Emlyn R. Williams – Research Synthesis Methods, 2024
Methods of network meta-analysis (NMA) can be classified as arm-based and contrast-based approaches. There are several arm-based approaches, and some of these have been criticized because they recover inter-study information and hence do not obey the principle of concurrent control. Here, we point out that recovery of inter-study information in…
Descriptors: Meta Analysis, Models, Methods, Data Collection
John Hattie; Timothy O'Leary – Educational Psychology Review, 2025
The persistence of learning styles as a concept in educational discourse and research is paradoxical, given the overwhelming evidence discrediting the matching hypothesis, the notion that aligning teaching methods with students' preferred learning styles enhances achievement. This paper examines the resurgence of learning styles across…
Descriptors: Cognitive Style, Meta Analysis, Learning Strategies, Correlation
Lu Qin; Shishun Zhao; Wenlai Guo; Tiejun Tong; Ke Yang – Research Synthesis Methods, 2024
The application of network meta-analysis is becoming increasingly widespread, and for a successful implementation, it requires that the direct comparison result and the indirect comparison result should be consistent. Because of this, a proper detection of inconsistency is often a key issue in network meta-analysis as whether the results can be…
Descriptors: Meta Analysis, Network Analysis, Bayesian Statistics, Comparative Analysis
Shan Zhang; Chris Palaguachi; Marcin Pitera; Chris Davis Jaldi; Noah L. Schroeder; Anthony F. Botelho; Jessica R. Gladstone – Educational Psychology Review, 2024
Systematic reviews are a time-consuming yet effective approach to understanding research trends. While researchers have investigated how to speed up the process of screening studies for potential inclusion, few have focused on to what extent we can use algorithms to extract data instead of human coders. In this study, we explore to what extent…
Descriptors: Bibliometrics, Meta Analysis, Research Methodology, Evaluation Methods
Vincent Natalis; Bernard Leyh – Chemistry Education Research and Practice, 2025
Entropy and the second law of thermodynamics have long been identified as difficult concepts to teach in the physical chemistry curriculum. Their highly abstract nature, mathematical complexity and emergent nature underscore the necessity to better link classical thermodynamics and statistical thermodynamics. The objectives of this systematic…
Descriptors: Teaching Methods, Science Instruction, Thermodynamics, Scientific Concepts
Özgür Tutal – Journal of Practical Studies in Education, 2023
The meta-analysis focuses on examining the effects of context-based learning on students' academic achievement and learning retention. A comprehensive search of the available research literature identified a total of 42 studies addressing academic achievement and 10 studies investigating learning retention. The findings of the analysis indicated…
Descriptors: Academic Achievement, Retention (Psychology), Meta Analysis, Teaching Methods
James E. Pustejovsky; Man Chen – Journal of Educational and Behavioral Statistics, 2024
Meta-analyses of educational research findings frequently involve statistically dependent effect size estimates. Meta-analysts have often addressed dependence issues using ad hoc approaches that involve modifying the data to conform to the assumptions of models for independent effect size estimates, such as by aggregating estimates to obtain one…
Descriptors: Meta Analysis, Multivariate Analysis, Effect Size, Evaluation Methods
Guido Schwarzer; Gerta Rücker; Cristina Semaca – Research Synthesis Methods, 2024
The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…
Descriptors: Bias, Meta Analysis, Simulation, Evaluation Methods
Ayodele Abosede Ogegbo; Umesh Ramnarain – African Journal of Research in Mathematics, Science and Technology Education, 2024
This systematic literature review seeks to investigate the pedagogical practices that can be used to encourage the inclusion of Indigenous knowledge in science classrooms. By adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline method, past studies on pedagogical practices in integrating Indigenous knowledge…
Descriptors: Literature Reviews, Meta Analysis, Science Instruction, Indigenous Knowledge
Zhuotao Lu; Ming M. Chiu; Shuai Wang; Weijie Mao; Hao Lei – Journal of Educational Computing Research, 2025
Teachers are increasingly using augmented reality (AR) to develop students' higher-order thinking (HOT). As past studies showed mixed results, our "random effects meta-analysis" of 21 effect sizes from 17 studies of 1256 participants determined the overall effect of AR on HOT and accounted for differences across studies via moderator…
Descriptors: Thinking Skills, Meta Analysis, Computer Simulation, Skill Development
Wilson, Matthew L. – Journal of Research on Technology in Education, 2023
This study examines the effect of teacher education courses for technology integration (TECTI) on preservice teacher attitudes and beliefs from 2007-2017. Technology attitudes are the affective stances leading to observable technology integration behaviors. Technology beliefs are the "pedagogical beliefs" on teaching and learning with…
Descriptors: Technology Integration, Information Technology, Meta Analysis, Teacher Education Programs
Junqiang Dai; Jason W. Griffin; K. Suzanne Scherf – Developmental Psychology, 2024
Adolescence is a critical developmental period that is marked by drastic changes in face recognition, which are reflected in patterns of bias (i.e., superior recognition for some individuals compared to others). Here, we evaluate how race is perceived during face recognition and whether adolescents exhibit an own-race bias (ORB). We conducted a…
Descriptors: Racial Factors, Adolescents, Meta Analysis, Bias
Nathalie Barz; Manuela Benick; Laura Dörrenbächer-Ulrich; Franziska Perels – Review of Educational Research, 2024
Digital game-based learning (DGBL) interventions can be superior to traditional instruction methods for learning, but previous meta-analyses covered a huge period and included a variety of different target groups, limiting the results' transfer on specific target groups. Therefore, the aim of this meta-analysis is a theory-based examination of…
Descriptors: Game Based Learning, Video Games, Outcomes of Education, Teaching Methods
Joshua R. Polanin; Megan Austin; Joseph A. Taylor; Rebecca Rose Steingut; Melissa A. Rodgers; Ryan Williams – AERA Open, 2024
We conducted a comprehensive, systematic review and meta-analysis on the effects of the BSCS 5E Instructional Model--and its related variants--on science, math, and motivation outcomes. The 5E Instructional Model is a framework for delivering STEM instruction that is based on constructivist learning theory; it has been used throughout the U.S. and…
Descriptors: Literature Reviews, Meta Analysis, Teaching Methods, STEM Education