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Seok-Hyun Ga; Hyun-Jung Cha; Hye-Gyoung Yoon – Journal of Science Education and Technology, 2024
As augmented reality (AR) gains prevalence, various AR exhibits are being installed in science museums. However, few research has thus far examined the extent to which these exhibits can improve visitors' learning. This study qualitatively evaluates the effectiveness of an AR dinosaur exhibit at the Gwacheon National Science Museum in Korea and…
Descriptors: Exhibits, Museums, Computer Simulation, Sciences
Lucas Kohnke – SpringerBriefs in Education, 2024
This book examines teacher professional development (TPD) models to integrate microlearning into TPD training and serves as a concise but comprehensive introduction to the field. This book covers critical teacher professional development and microlearning aspects, including artificial intelligence, virtual reality, augmented reality, and mixed…
Descriptors: Digital Literacy, Competence, Microteaching, Teacher Education Programs
Carisma Nel; Elma Marais – Reading & Writing: Journal of the Literacy Association of South Africa, 2023
Background: Concerns have been raised about the inconsistency and quality of pre-service teacher preparation, especially in reading literacy. Mixed-reality simulations can potentially revolutionise initial teacher education by offering realistic, risk-free practice opportunities to master reading practices. Objectives: This study explores…
Descriptors: Preservice Teachers, Computer Simulation, Reading Skills, Reading Instruction
Leveraging Simulation to Understand Nursing Student Learning in Technologically Complex Environments
Deborah Rojas – ProQuest LLC, 2023
Introduction: The adoption of simulation technologies in schools of nursing has increased significantly over the last 5 years. Results regarding the use of simulation technology have been positive. The use of simulation technologies has been developed to include complex nursing situations that resemble real clinical settings. Research has…
Descriptors: Computer Simulation, Simulated Environment, Nursing Education, Simulation
Zhao, Fang; Schützler, Lena; Christ, Oliver; Gaschler, Robert – Teaching Statistics: An International Journal for Teachers, 2023
Constructing interactive web apps has become more accessible for instructors, for example, by using the R package Shiny. Here we explored learners' preferences and the efficiency of interactive simulations versus static pictures in acquiring statistics knowledge of Cohen's d and standard normal distribution. Results revealed that students'…
Descriptors: Statistics Education, Visual Aids, Technology Uses in Education, Web Sites
Glaser, Noah; Newbutt, Nigel; Palmer, Heath; Schmidt, Matthew – Technology, Knowledge and Learning, 2023
Research suggests that virtual reality (VR) technologies can promote learning opportunities for individuals with autism in safe and controllable training scenarios. However, substantial challenges exist concerning the development and deployment of fully immersive VR systems in real-world settings. Video-based virtual reality is an emerging…
Descriptors: Computer Simulation, Autism Spectrum Disorders, Students with Disabilities, Educational Technology
Integration of Industry 4.0 Technologies with Education 4.0: Advantages for Improvements in Learning
Moraes, Eduardo Baldo; Kipper, Liane Mahlmann; Hackenhaar Kellermann, Ana Clara; Austria, Leonardo; Leivas, Pedro; Moraes, Jorge André Ribas; Witczak, Marcus – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to identify the uses of Industry 4.0 technologies in the area of education and how they contribute to learning in addition to highlighting at what educational level they are used. Design/methodology/approach: A systematic literature review was carried out in the Scopus (Elsevier), Web of Science and…
Descriptors: Educational Technology, Internet, Computer Simulation, Higher Education
Pettersson, Anna F.; Karlgren, Klas; Al-Saadi, Jonathan; Hjelmqvist, Hans; Meister, Björn; Zeberg, Hugo; Silén, Charlotte – Anatomical Sciences Education, 2023
Learning anatomy holds specific challenges, like the appreciation of three-dimensional relationships between anatomical structures. So far, there is limited knowledge about how students construct their understanding of topographic anatomy. By understanding the processes by which students learn anatomical structures in 3D, educators will be better…
Descriptors: Anatomy, Visualization, Computer Simulation, Computer Uses in Education
Kongpha, Rattanakul; Chatwattana, Pinanta – Higher Education Studies, 2023
The virtual interactive learning model using imagineering process as a tool to promote happy learning for digital age learners. The concept is based on the combination of virtual learning environment and metaverse in order to create learning experience via virtual community. The objectives of this research are (1) to study and synthesise the…
Descriptors: Electronic Learning, Interaction, Computer Simulation, Instructional Development
Muffato, Veronica; Miola, Laura; Pellegrini, Marilina; Pazzaglia, Francesca; Meneghetti, Chiara – Cognitive Research: Principles and Implications, 2023
When learning an environment from virtual navigation people gain knowledge about landmarks, their locations, and the paths that connect them. The present study newly aimed to investigate all these domains of knowledge and how cognitive factors such as visuospatial abilities and wayfinding inclinations might support virtual passive navigation. A…
Descriptors: Navigation, Computer Simulation, Environment, Spatial Ability
Zhang, Xijuan; Wang, Xiaoyan; Lu, Jinyan – International Journal of Web-Based Learning and Teaching Technologies, 2023
Today's mature virtual simulation technology should be effectively combined with college education to give full play to better educational advantages. The history teaching supported by modern information technology paves the way for the rational distribution of educational resources and the movement of centralized users to fragmented learning…
Descriptors: History Instruction, College Instruction, Teaching Methods, Computer Simulation
Ford, Deana J.; Luke, Sara E.; Vaughn, S. Michelle; Fulchini-Scruggs, Angelica – Journal of Educational Technology Systems, 2023
The purpose of this study was to investigate the impact explicit teaching of metacognition had on preservice teachers' metacognitive awareness and accuracy of whole group discussions using virtual simulations. One class of preservice teachers was randomly assigned to the explicit metacognitive teaching group, while the other class was assigned to…
Descriptors: Computer Simulation, Metacognition, Accuracy, Preservice Teachers
van Aert, Robbie C. M. – Research Synthesis Methods, 2023
The partial correlation coefficient (PCC) is used to quantify the linear relationship between two variables while taking into account/controlling for other variables. Researchers frequently synthesize PCCs in a meta-analysis, but two of the assumptions of the common equal-effect and random-effects meta-analysis model are by definition violated.…
Descriptors: Correlation, Meta Analysis, Sampling, Simulation
Richters, Constanze; Stadler, Matthias; Radkowitsch, Anika; Schmidmaier, Ralf; Fischer, Martin R.; Fischer, Frank – Large-scale Assessments in Education, 2023
Background: Making accurate diagnoses in teams requires complex collaborative diagnostic reasoning skills, which require extensive training. In this study, we investigated broad content-independent behavioral indicators of diagnostic accuracy and checked whether and how quickly diagnostic accuracy could be predicted from these behavioral…
Descriptors: Prediction, Clinical Diagnosis, Cooperative Learning, Simulation
An, Weihua – Sociological Methods & Research, 2023
In this article, I present a new multivariate regression model for analyzing outcomes with network dependence. The model is capable to account for two types of outcome dependence including the mean dependence that allows the outcome to depend on selected features of a known dependence network and the error dependence that allows the outcome to be…
Descriptors: Multivariate Analysis, Regression (Statistics), Models, Correlation

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