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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
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
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
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
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
Yasushi Tsujimoto; Yusuke Tsutsumi; Yuki Kataoka; Akihiro Shiroshita; Orestis Efthimiou; Toshi A. Furukawa – Research Synthesis Methods, 2024
Meta-analyses examining dichotomous outcomes often include single-zero studies, where no events occur in intervention or control groups. These pose challenges, and several methods have been proposed to address them. A fixed continuity correction method has been shown to bias estimates, but it is frequently used because sometimes software (e.g.,…
Descriptors: Meta Analysis, Literature Reviews, Epidemiology, Error Correction
The Relation between Spontaneous Focusing on Numerosity and Mathematics Performance: A Meta-Analysis
Xiangyu Li; Boby Ho-Hong Ching; Lihua Tan; Xiaofei Li; Jiajia Li; Tiffany Ting Chen – Educational Psychology Review, 2025
Substantial research has explored the connection between children's spontaneous focusing on numerosity (SFON) and their current and later mathematical achievement. However, the findings have been inconsistent, and no comprehensive investigation has yet been conducted. This meta-analysis examines the relation between SFON and mathematics…
Descriptors: Numeracy, Mathematics Skills, Meta Analysis, Mathematics Achievement
Jelena N. Larsen; Kine M. D. Maxwell; Mohammad Khalil – Journal of Learning Analytics, 2025
Effective learning design (LD) grounded in sound pedagogy is a critical driver of student success. Therefore, it is important to explore how LD of online learning environments influences student ability to manage their own learning. This understanding can inform the development of online programs that prioritize student-driven learning. Research…
Descriptors: Literature Reviews, Learning Analytics, Instructional Design, Student Motivation
Jona Lilienthal; Sibylle Sturtz; Christoph Schürmann; Matthias Maiworm; Christian Röver; Tim Friede; Ralf Bender – Research Synthesis Methods, 2024
In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…
Descriptors: Bayesian Statistics, Meta Analysis, Health Sciences, Technology
Anja Friedrich; Saskia Schreiter; Markus Vogel; Sebastian Becker-Genschow; Roland Brünken; Jochen Kuhn; Jessica Lehmann; Sarah Malone – International Journal of STEM Education, 2024
The pervasive digitization of society underscores the crucial role of data and its significant impact on decision-making across various domains. As a result, it is essential for individuals to acquire competencies in handling data. This need is particularly pertinent in K-12 education, where early engagement with data and statistics can lay a…
Descriptors: Literature Reviews, Elementary Secondary Education, STEM Education, Meta Analysis
Sokratis Tselegkaridis; Theodosios Sapounidis; Dimitrios Stamovlasis – Education and Information Technologies, 2024
Laboratories are considered to play a unique role in circuits teaching. Laboratories can be traditional, with physical components and desks, or virtual with graphical simulators. Applying these facilities in teaching, students can make experiments or measurements by exploring electric circuits' features. However, an intriguing research question is…
Descriptors: Teaching Methods, Electronics, Laboratory Experiments, Meta Analysis