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Leslie Neely; Amarie Carnett; John Quarles; Se-Woong Park; Michelle Kelly – Journal of Developmental and Physical Disabilities, 2024
This review synthesizes the literature base evaluating the effects of behavior analytic interventions delivered via augmented reality (AR) technology for individuals with autism. We also conducted a quality review. We identified 14 studies with a majority of the studies (n = 11; 79%) utilizing single-case research design. Of the 14 studies, three…
Descriptors: Computer Simulation, Autism Spectrum Disorders, Evaluation Methods, Applied Behavior Analysis
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Zsuzsa Bakk – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A standard assumption of latent class (LC) analysis is conditional independence, that is the items of the LC are independent of the covariates given the LCs. Several approaches have been proposed for identifying violations of this assumption. The recently proposed likelihood ratio approach is compared to residual statistics (bivariate residuals…
Descriptors: Goodness of Fit, Error of Measurement, Comparative Analysis, Models
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Radovan Šikl; Karla Brücknerová; Hana Švedová; Filip Dechterenko; Pavel Ugwitz; Jirí Chmelík; Hana Pokorná; Vojtech Jurík – Journal of Computer Assisted Learning, 2024
Introduction: Media comparison studies examining the effectiveness of immersive virtual reality in education have yielded inconclusive findings, leaving the question of its impact on learning compared to conventional media unanswered. To address this issue, our study employs a novel approach that combines media comparison with an investigation on…
Descriptors: Computer Simulation, Educational Technology, Secondary School Students, Topography
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Ghadah Al Murshidi; Galina Shulgina; Anastasiia Kapuza; Jamie Costley – Smart Learning Environments, 2024
Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in the class has prompted research on the perceptions related to the intention to…
Descriptors: Artificial Intelligence, Educational Experience, Feedback (Response), Interaction
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Candace Walkington; Mitchell J. Nathan; Wen Huang; Jonathan Hunnicutt; Julianna Washington – Educational Technology Research and Development, 2024
The emergence of immersive digital technologies, such as shared augmented reality (shAR), virtual reality (VR) and motion capture (MC) offers promising new opportunities to advance our understanding of human cognition and design innovative technology-enhanced learning experiences. Theoretical frameworks for embodied and extended cognition can…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Motion
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Bryan Fulmer; Ahn Duong; Hannah Palmer; Kevin G. Owens – Journal of Chemical Education, 2024
Digital learning tools and laboratory simulations have been an area of great interest not only due to the advancements of at-home learning but also by allowing students and institutions access to experiences they would not have otherwise due to the high cost of commercial instrumentation. The need for online learning tools became especially…
Descriptors: Science Instruction, Educational Technology, Technology Uses in Education, Measurement Equipment
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Qiang Fu; Shiyuan Fu; Hui Yang; Jing Yu; Li Liu – Journal of Chemical Education, 2024
The double-indicator method is often used in the analysis of Na[subscript 2]CO[subscript 3], NaHCO[subscript 3], and NaOH mixtures (carbonate mixtures). In this method, the determination of the volumes at the first and second equivalence points plays a crucial role in analyzing the composition and content of the carbonate mixtures. Here, LabVIEW…
Descriptors: Science Instruction, Chemistry, Computer Simulation, Measurement
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Maisarah; Cyndi Prasetya; Lailissa’adah; Farah Nazwa; Imelja Nurul Ain – Elementary School Forum (Mimbar Sekolah Dasar), 2024
The science process skills of elementary school students in Langsa city are still relatively low, despite these skills being a crucial element in science education based on the Merdeka curriculum. Additionally, teachers have reported several challenges, including the presence of abstract science material, textbooks that use two-dimensional…
Descriptors: Foreign Countries, Science Process Skills, Computer Simulation, Elementary School Students
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Yao, Shu-Nung; Liang, Chaoyun – IEEE Transactions on Learning Technologies, 2023
Image processing-based augmented reality (AR) is widely used in several fields. However, audio content is also crucial in certain cases, for example, focusing on appreciating artwork in a museum, rather than a virtually synthesized image. In this study, an attempt was made to provide ubiquitous learning (u-learning) services by using audio AR for…
Descriptors: Computer Simulation, Electronic Learning, Audio Equipment, Educational Technology
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Lin, Yung-Chi – British Journal of Educational Technology, 2023
This study proposed a low-cost, easy to set up and easy to modify virtual classroom simulation environment, "CartoonClass," and tested its impact on 27 pre-service primary school teachers' noticing development during a semester-long mathematics methods course. The participants' perceptions of using CartoonClass were also examined. A…
Descriptors: Virtual Classrooms, Computer Simulation, Preservice Teachers, Elementary School Teachers
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Skulmowski, Alexander – Mind, Brain, and Education, 2023
Cognitive load measurement is a methodological issue of high importance in all learning settings involving a high perceptual richness, such as virtual and augmented reality. As a result of the growing number of cognitive load measurement methods and surveys, it can be difficult to choose the optimal measurement instrument for learning tasks in…
Descriptors: Cognitive Processes, Difficulty Level, Measurement, Measurement Techniques
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Ferdig, Richard E.; Kosko, Karl W.; Gandolfi, Enrico – Educational Technology Research and Development, 2023
A growing body of research has supported the implementation of innovative and immersive video for teaching and learning across the lifespan. Immersive video, delivered through eXtended Reality (XR) tools like 360 video, provides users with new ways to see real or created environments. Unfortunately, most of the existing research has highlighted…
Descriptors: Observation, Audio Equipment, Video Technology, Computer Simulation
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Slezaka, Robert J.; Keren, Nir; Gilbert, Stephen B.; Harvey, Matthew E.; Ryan, Saxon J.; Wiley, Alex J. – Journal of Computer Assisted Learning, 2023
Industrial systems can be complex and not intuitive to perceive. Therefore, students in technology and engineering programs can benefit from developing mental models of industrial systems during their journey in college. However, more often than not, these students do not have access to industrial facilities; thus, developing mental models for…
Descriptors: Computer Simulation, Schemata (Cognition), Industry, Technology Education
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Iftach, Geva; Shapira-Lishchinsky, Orly – Educational Management Administration & Leadership, 2023
The purpose of the study is to examine the ethical dilemmas among mid-level school leaders in the social-ecological context through role-play simulations. We examined simulations involving role-played ethical scenarios and group debriefings among 30 mid-level school leaders from different Israeli high schools and districts during the MA course in…
Descriptors: Ethics, Middle Management, Role Playing, Simulation
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Cheng, David; Tchetgen, Eric Tchetgen; Signorovitch, James – Research Synthesis Methods, 2023
Matching-adjusted indirect comparison (MAIC) enables indirect comparisons of interventions across separate studies when individual patient-level data (IPD) are available for only one study. Due to its similarity with propensity score weighting, it has been speculated that MAIC can be combined with outcome regression models in the spirit of…
Descriptors: Comparative Analysis, Robustness (Statistics), Intervention, Patients
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