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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
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Cook, David A.; Aljamal, Yazan; Pankratz, V. Shane; Sedlack, Robert E.; Farley, David R.; Brydges, Ryan – Advances in Health Sciences Education, 2019
Self-regulated learning is optimized when instructional supports are provided. We evaluated three supports for self-regulated simulation-based training: practice schedules, normative comparisons, and learning goals. Participants practiced 5 endoscopy tasks on a physical simulator, then completed 4 repetitions on a virtual reality simulator. Study…
Descriptors: Metacognition, Medical Students, Teaching Methods, Medical Education
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Jan Oliver Wallgrün; Jack Shen-Kuen Chang; Jiayan Zhao; Peter Trenham; Pejman Sajjadi; Mark Simpson; Alexander Klippel – Journal of Biological Education, 2024
Virtual field trips are transforming education in biology and other place-based disciplines -- and not just since COVID-19 has imposed social distancing constraints. Efficient methods for content creation, combined with affordable immersive technology, provide the opportunity to integrate immersive experiences into ever-larger classes. However,…
Descriptors: Place Based Education, Computer Simulation, COVID-19, Pandemics
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Tobias Wiemer; Marius Rothe – Design and Technology Education, 2024
The use of Augmented Reality (AR) is a relatively new but significant trend in the educational landscape, including in technology education. The aim of this article is to discuss different perspectives on AR applications and describe the similarities, possibilities, and differences between them. Initial research in the field of technology…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Emilia Gracia – ProQuest LLC, 2024
This study examines the impact of High-Immersion Virtual Reality (HiVR) as a tool for teaching English L2 pragmatics to international students enrolled in an Intensive English Program at a US university. This research focuses on integrating HiVR into explicit L2 pragmatics instructional treatments. A quasi-experimental design was employed to…
Descriptors: Intensive Language Courses, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Qing Yu; Bao-min Li; Qi-yun Wang – Interactive Learning Environments, 2024
In recent years, 3D holographic technology (3DHT) has attracted more and more attention from the field of education, bringing new opportunities to reform the delivery of instruction and learning. Whether the application of 3D holographic technology can effectively improve student learning performance has become a pendent issue. In this study, a…
Descriptors: Visual Aids, Technology, Learning Processes, Meta Analysis
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Jane Batamuliza; Gonzague Habinshuti; Jean Baptiste Nkurunziza – Journal of Technology and Science Education, 2024
This current study presents the effects of interactive computer simulations on students' performance and concept retention in the unit of chemical reactions. Purposive sampling was used to select four schools with a sample population of 320. The Achievement test on chemical reactions was developed, validated, and checked for reliability. The…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Comparative Analysis
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Chengliang Wang; Xiaojiao Chen; Yifei Li; Pengju Wang; Haoming Wang; Yuanyuan Li – Journal of Educational Computing Research, 2025
This study explored the impact of MetaClassroom, a virtual immersive programming learning environment designed based on the three-dimensional learning progression (3DLP) concept, on students' multidimensional development. Utilizing a quasi-experimental research design, this study compared students' programming learning achievements (PLA),…
Descriptors: Programming, Computer Science Education, Metacognition, Computer Simulation
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Tong Bao – Journal of Computer Assisted Learning, 2025
Background: Given the limited availability of effective tools for Korean language learning among students with autism spectrum disorder (ASD), there is a need to explore innovative educational technologies to support the development of reading skills in Korean language education for this population. Objectives: The purpose of this study is to…
Descriptors: Korean, Autism Spectrum Disorders, Scores, Reading Comprehension
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Zhang, Xue; Tao, Jian; Wang, Chun; Shi, Ning-Zhong – Journal of Educational Measurement, 2019
Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…
Descriptors: Bayesian Statistics, Item Response Theory, Measurement, Models
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Krefeld-Schwalb, Antonia; Donkin, Chris; Newell, Ben R.; Scheibehenne, Benjamin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…
Descriptors: Models, Cues, Probability, Experiments
Zhang, Xue; Tao, Jian; Wang, Chun; Shi, Ning-Zhong – Grantee Submission, 2019
Model selection is important in any statistical analysis, and the primary goal is to find the preferred (or most parsimonious) model, based on certain criteria, from a set of candidate models given data. Several recent publications have employed the deviance information criterion (DIC) to do model selection among different forms of multilevel item…
Descriptors: Bayesian Statistics, Item Response Theory, Measurement, Models
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Riel, Jeremy; Lawless, Kimberly A.; Oren, James B. – Online Learning, 2022
In this study, different degrees of synchronous and asynchronous online social interactions are investigated in the context of an online educational roleplaying simulation game that is played across multiple classrooms simultaneously to teach argumentation skills and social studies. Results from 45 K-12 middle school social studies teachers and…
Descriptors: Comparative Analysis, Asynchronous Communication, Synchronous Communication, Discussion
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Koziol, Natalie A.; Goodrich, J. Marc; Yoon, HyeonJin – Educational and Psychological Measurement, 2022
Differential item functioning (DIF) is often used to examine validity evidence of alternate form test accommodations. Unfortunately, traditional approaches for evaluating DIF are prone to selection bias. This article proposes a novel DIF framework that capitalizes on regression discontinuity design analysis to control for selection bias. A…
Descriptors: Regression (Statistics), Item Analysis, Validity, Testing Accommodations
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Zhan, Peida – Educational and Psychological Measurement, 2020
Timely diagnostic feedback is helpful for students and teachers, enabling them to adjust their learning and teaching plans according to a current diagnosis. Motivated by the practical concern that the simultaneity estimation strategy currently adopted by longitudinal learning diagnosis models does not provide timely diagnostic feedback, this study…
Descriptors: Markov Processes, Formative Evaluation, Evaluation Methods, Feedback (Response)
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