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Peer reviewed
Direct linkHuifen Guo; Fengqi Ma; Zhen Zhou – Innovations in Education and Teaching International, 2025
The growing influence of technology has prompted numerous scholars to explore how virtual reality (VR) affects performance. This study aims to validate the technology acceptance model (TAM) for VR in collaborative learning to enhance performance. We employed a questionnaire for data collection, distributed to 423 master's students in China…
Descriptors: Computer Simulation, Cooperative Learning, Performance, Technology Uses in Education
Marte F. Giskeødegård; Aud Marit Wahl – Discover Education, 2025
The aim of this article is to investigate teaching technology and design in education by exploring the discipline-specific simulator-based teaching practices of the maritime instructors at Norwegian MET institutions in light of a signature pedagogies perspective. The study is based on empirical material from a survey targeting instructors (n = 45)…
Descriptors: Foreign Countries, Marine Education, Simulation, Teaching Methods
Iza Marfisi-Schottman – International Journal of Learning Technology, 2023
Many pedagogical counsellors (PCs) are destabilised by the resistance, in various forms, that novice teachers display during their counselling sessions. It is in this context that we propose TGRIS, a peer-training method, with a virtual reality interview simulator, designed to help PCs become aware of their own emotions, and deal with them, when…
Descriptors: Professional Training, Computer Simulation, Simulation, Interviews
Vishkaie, Rojin; Seyed, Teddy; Emmons, Claire Thoma; Vom Lehn, Dirk – Educational Media International, 2022
Socializing and interaction are important aspects for families who visit museums. Mixed reality (MR) uses a set of technologies that museums employ to encourage this behavior, but they face challenges in maintaining family cohesion with experiences across different exhibitions and kiosks. In this paper, we explore these challenges broadly to…
Descriptors: Museums, Exhibits, Interaction, Children
Baldassari, Mario J.; Moore, Kara N.; Hyman, Ira E., Jr.; Hope, Lorraine; Mah, Eric Y.; Lindsay, D. Stephen; Mansour, Jamal; Saraiva, Renan; Horry, Ruth; Rath, Hannah; Kelly, Lauren; Jones, Rosie; Vale, Shannan; Lawson, Bethany; Pedretti, Josh; Palma, Tomás A.; Cruz, Francisco; Quarenta, Joana; Van der Cruyssen, Ine; Mileva, Mila; Allen, Jessica; Jeye, Brittany; Wiechert, Sara – Cognitive Research: Principles and Implications, 2023
Research on eyewitness identification often involves exposing participants to a simulated crime and later testing memory using a lineup. We conducted a systematic review showing that pre-event instructions, instructions given before event exposure, are rarely reported and those that are reported vary in the extent to which they warn participants…
Descriptors: Memory, Audiences, Attention, Observation
Edmonds, Bruce – International Journal of Social Research Methodology, 2023
This paper looks at the tension between the desire to claim predictive ability for Agent-Based Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that this is the main cause for the continuance of a rhetoric of prediction that is at odds with what is achievable. Following others, it recommends that it is better…
Descriptors: Models, Prediction, Evaluation Methods, Standards
Berger, Roland; Lensing, Philipp – Physics Teacher, 2023
In physics education, the topic of electromagnetic induction is an important but also challenging topic for many students. The early introduction of formulae, e.g., Faraday's law of induction, seems to hinder rather than to foster the understanding of the topic's underlying principles. In this paper, we present the basic idea for a teaching…
Descriptors: Teaching Methods, Magnets, Physics, Computer Simulation
Zeyuan Jing – ProQuest LLC, 2023
This dissertation presents a comprehensive review of the evolution of DIF analysis within educational measurement from the 1980s to the present. The review elucidates the concept of DIF, particularly emphasizing the crucial role of grouping for exhibiting DIF. Then, the dissertation introduces an innovative modification to the newly developed…
Descriptors: Item Response Theory, Algorithms, Measurement, Test Bias
Download full textSy Han Chiou; Gongjun Xu; Jun Yan; Chiung-Yu Huang – Grantee Submission, 2023
Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of event of interest during follow-up. The R package reReg offers a comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events,…
Descriptors: Data Analysis, Computer Software, Regression (Statistics), Models
Amanda J. Haskins; Jeff Mentch; Caitlin Van Wicklin; Yeo Bi Choi; Caroline E. Robertson – Journal of Autism and Developmental Disorders, 2024
Sensory differences are nearly universal in autism, but their genetic origins are poorly understood. Here, we tested how individuals with an autism-linked genotype, 16p.11.2 deletion ("16p"), attend to visual information in immersive, real-world photospheres. We monitored participants' (N = 44) gaze while they actively explored 360°…
Descriptors: Autism Spectrum Disorders, Computer Simulation, Sensory Experience, Genetic Disorders
Hans-Peter Piepho; Johannes Forkman; Waqas Ahmed Malik – Research Synthesis Methods, 2024
Checking for possible inconsistency between direct and indirect evidence is an important task in network meta-analysis. Recently, an evidence-splitting (ES) model has been proposed, that allows separating direct and indirect evidence in a network and hence assessing inconsistency. A salient feature of this model is that the variance for…
Descriptors: Maximum Likelihood Statistics, Evidence, Networks, Meta Analysis
Brinley N. Zabriskie; Nolan Cole; Jacob Baldauf; Craig Decker – Research Synthesis Methods, 2024
Meta-analyses have become the gold standard for synthesizing evidence from multiple clinical trials, and they are especially useful when outcomes are rare or adverse since individual trials often lack sufficient power to detect a treatment effect. However, when zero events are observed in one or both treatment arms in a trial, commonly used…
Descriptors: Meta Analysis, Error Correction, Computation, Simulation
Philip C. Duczyminski – ProQuest LLC, 2024
Firefighters face many high-risk situations, from battling fires to managing hazardous materials and medical emergencies. The inherent dangers of these scenarios are reflected in the statistics from the U.S. Fire Administration, which reported 141 on-duty firefighter fatalities in 2021. Recognizing the critical need for enhanced safety, the…
Descriptors: Fire Protection, Job Training, Simulation, Instructional Effectiveness
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
Zheng Zhong; Sijia Feng; Shuaizhen Jin – Education and Information Technologies, 2024
This study examines the impact of various factors on teachers' anxiety toward teaching in Virtual Reality (VR) environments. Specifically, the research proposes a hypothetical model and investigates the influence of technical proficiency, self-efficacy, and school support on VR teaching anxiety. A total of 329 teachers with prior experience in VR…
Descriptors: Influences, Anxiety, Computer Simulation, Educational Technology
