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Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
Sajjad Salimi; Zahra Asgari; Amirreza Mohammadnejad; Ashkan Teimazi; Mitra Bakhtiari – Anatomical Sciences Education, 2024
Anatomy is the cornerstone of medical education. Virtual reality (VR) and augmented reality (AR) technologies are becoming increasingly popular in the development of anatomy education. Various studies have evaluated VR and AR in anatomy education. This meta-analysis aims to evaluate the effectiveness of VR and AR in anatomical education. The…
Descriptors: Computer Simulation, Anatomy, Science Instruction, Teaching Methods
Eray Selçuk; Ergül Demir – International Journal of Assessment Tools in Education, 2024
This research aims to compare the ability and item parameter estimations of Item Response Theory according to Maximum likelihood and Bayesian approaches in different Monte Carlo simulation conditions. For this purpose, depending on the changes in the priori distribution type, sample size, test length, and logistics model, the ability and item…
Descriptors: Item Response Theory, Item Analysis, Test Items, Simulation
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
Veroniki, Areti Angeliki; Jackson, Dan; Bender, Ralf; Kuss, Oliver; Langan, Dean; Higgins, Julian P. T.; Knapp, Guido; Salanti, Georgia – Research Synthesis Methods, 2019
Meta-analyses are an important tool within systematic reviews to estimate the overall effect size and its confidence interval for an outcome of interest. If heterogeneity between the results of the relevant studies is anticipated, then a random-effects model is often preferred for analysis. In this model, a prediction interval for the true effect…
Descriptors: Meta Analysis, Effect Size, Simulation, Comparative Analysis
Kalemkus, Jale; Kalemkus, Fatih – Interactive Learning Environments, 2023
It was aimed to review the effect of the use of augmented reality applications on the academic achievement of students in science education in this study. In line with this aim, the experimental researches reviewing the effect of use of augmented reality applications within the scope of science course on student achievement were evaluated with…
Descriptors: Information Technology, Computer Simulation, Academic Achievement, Science Education
Mohan Honnagudi Gururaj; Nandish Malleshappa; Sankhya Nagesh Nayak; Devaraj Fakkirappa Vadenapur; Benak Patel Medugondanahalli Puradaswamy – Education and Information Technologies, 2024
A Study with undergraduate engineering students was conducted in order to evaluate whether cognitive and comprehending ability can be improved by incorporating the tool based learning. The simulator tools and virtual labs were used to represent tool based learning. The study was conducted on three different years of students. In the first stage…
Descriptors: Undergraduate Students, Engineering Education, Evaluation, Comprehension
Baek, Eunkyeng; Luo, Wen; Henri, Maria – Journal of Experimental Education, 2022
It is common to include multiple dependent variables (DVs) in single-case experimental design (SCED) meta-analyses. However, statistical issues associated with multiple DVs in the multilevel modeling approach (i.e., possible dependency of error, heterogeneous treatment effects, and heterogeneous error structures) have not been fully investigated.…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Comparative Analysis, Statistical Inference
McLaughlin, Jessica A.; Bailey, Janelle M. – Studies in Science Education, 2023
Myriad research in a variety of contexts shows spatial skills benefit students; however, they are not given enough attention in classroom instruction. In this review we systematically explore geoscience education literature focusing on spatial interventions to answer research questions on trends in spatial skills and other characteristics. We…
Descriptors: Spatial Ability, Earth Science, STEM Education, Research Reports
Marjan Ebadijalal; Nouroddin Yousofi – Computer Assisted Language Learning, 2024
The current mixed-methods study aimed at incorporating a virtual reality (VR) tool (i.e. Google Expeditions) into the writing process of Iranian English as a foreign language (EFL) learners, examining its impact on their writing motivation and performance. To that end, 42 EFL learners were randomly assigned to experimental and control groups,…
Descriptors: Computer Software, Maps, Geography, English (Second Language)
Erdogmus, Cavit; Korkmaz, Özgen – International Online Journal of Primary Education, 2022
The aim of this research is to determine the trends in the field of educational technology by analyzing the bibliometric analysis of the articles about Educational Technology published in the Web of Science Core database in the last 20 years. In this framework, a bibliometric analysis of the articles on educational technology published 2000-2019…
Descriptors: Educational Trends, Educational Technology, Bibliometrics, Trend Analysis
Wu, Bian; Yu, Xiaoxue; Gu, Xiaoqing – British Journal of Educational Technology, 2020
With the availability of low-cost high-quality head-mounted displays (HMDs) since 2013, there is a growing body of literature investigating the impact of immersive virtual reality (IVR) technology on education. This meta-analysis aims to synthesize the findings on the overall effects of IVR using HMDs compared to less immersive desktop virtual…
Descriptors: Meta Analysis, Computer Simulation, Teaching Methods, Comparative Analysis
Langan, Dean; Higgins, Julian P. T.; Jackson, Dan; Bowden, Jack; Veroniki, Areti Angeliki; Kontopantelis, Evangelos; Viechtbauer, Wolfgang; Simmonds, Mark – Research Synthesis Methods, 2019
Studies combined in a meta-analysis often have differences in their design and conduct that can lead to heterogeneous results. A random-effects model accounts for these differences in the underlying study effects, which includes a heterogeneity variance parameter. The DerSimonian-Laird method is often used to estimate the heterogeneity variance,…
Descriptors: Simulation, Meta Analysis, Health, Comparative Analysis
Kosch, Robin; Jung, Klaus – Research Synthesis Methods, 2019
Research synthesis, eg, by meta-analysis, is more and more considered in the area of high-dimensional data from molecular research such as gene and protein expression data, especially because most studies and experiments are performed with very small sample sizes. In contrast to most clinical and epidemiological trials, raw data are often…
Descriptors: Genetics, Meta Analysis, Molecular Structure, Scientific Research
Booton, Sophie A.; Hodgkiss, Alex; Murphy, Victoria A. – Computer Assisted Language Learning, 2023
Mobile touchscreen applications present new opportunities for children's language learning. This systematic review synthesizes the evidence on the impact of features of mobile applications on children's language learning. Experimental studies published from 2010 onwards with children aged 3 to 11 years old were included. Of the 1,081 studies…
Descriptors: Telecommunications, Handheld Devices, Second Language Instruction, Second Language Learning