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Wells, Trent; Miller, Greg – Journal of Agricultural Education, 2020
Simulator technologies such as virtual reality (VR) can serve as practical tools in the educational process. VR technology applications can be effectively used for weld process training. Weld process training can often be found in university-level agricultural education settings. We sought to determine if using a VR technology application within…
Descriptors: Welding, Computer Simulation, Computer Uses in Education, Agricultural Education
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Hancock, Stacey A.; Rummerfield, Wendy – Journal of Statistics Education, 2020
Sampling distributions are fundamental to an understanding of statistical inference, yet research shows that students in introductory statistics courses tend to have multiple misconceptions of this important concept. A common instructional method used to address these misconceptions is computer simulation, often preceded by hands-on simulation…
Descriptors: Teaching Methods, Sampling, Experiential Learning, Computer Simulation
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Jonson, Cheryl Lero; Moon, Melissa M.; Hendry, Joseph A. – Journal of School Violence, 2020
Two paradigms inform responses to active shooting situations: a traditional lockdown approach where individuals find cover in a classroom and lock the door, and a multi-option approach where individuals evacuate the area, create barricades, and, in last resort situations, actively resist the gunman. While a majority of schools conduct active…
Descriptors: Violence, Weapons, Educational Environment, Crisis Management
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Madanipour, Parian; Cohrssen, Caroline – Australasian Journal of Early Childhood, 2020
The incorporation of digital technologies is explicitly addressed in the Early Years Learning Framework for Australia. The use of augmented reality (AR) technology, as one form of digital technology, is increasingly embedded in digital applications because it allows individuals to interact with real and virtual objects. A significant body of…
Descriptors: Computer Simulation, Early Childhood Education, Foreign Countries, Technology Integration
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Seide, Svenja E.; Jensen, Katrin; Kieser, Meinhard – Research Synthesis Methods, 2020
The performance of statistical methods is often evaluated by means of simulation studies. In case of network meta-analysis of binary data, however, simulations are not currently available for many practically relevant settings. We perform a simulation study for sparse networks of trials under between-trial heterogeneity and including multi-arm…
Descriptors: Bayesian Statistics, Meta Analysis, Data Analysis, Networks
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Falloon, Garry – British Journal of Educational Technology, 2020
Research has explored the use of simulations for education and training, and attention is turning to how they might support learning in school subjects such as mathematics and science. However, existing studies have mostly concentrated on older students, and if simulations help build knowledge useful for solving problems "within" the…
Descriptors: Simulation, Transfer of Training, Young Children, Equipment
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Mansolf, Maxwell; Jorgensen, Terrence D.; Enders, Craig K. – Grantee Submission, 2020
Structural equation modeling (SEM) applications routinely employ a trilogy of significance tests that includes the likelihood ratio test, Wald test, and score test or modification index. Researchers use these tests to assess global model fit, evaluate whether individual estimates differ from zero, and identify potential sources of local misfit,…
Descriptors: Structural Equation Models, Computation, Scores, Simulation
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Ju, Song; Zhou, Guojing; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Identifying critical decisions is one of the most challenging decision-making problems in real-world applications. In this work, we propose a novel Reinforcement Learning (RL) based Long-Short Term Rewards (LSTR) framework for critical decisions identification. RL is a machine learning area concerning with inducing effective decision-making…
Descriptors: Decision Making, Reinforcement, Artificial Intelligence, Man Machine Systems
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Margherita Malanchini; Kaili Rimfeld; Nicholas G. Shakeshaft; Andrew McMillan; Kerry L. Schofield; Maja Rodic; Valerio Rossi; Yulia Kovas; Philip S. Dale; Elliot M. Tucker-Drob; Robert Plomin – npj Science of Learning, 2020
Performance in everyday spatial orientation tasks (e.g., map reading and navigation) has been considered functionally separate from performance on more abstract object-based spatial abilities (e.g., mental rotation and visualization). However, few studies have examined the link between spatial orientation and object-based spatial skills, and even…
Descriptors: Intelligence, Spatial Ability, Twins, Task Analysis
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Levy, Helena; Hanulíková, Adriana – Language Learning, 2023
We use a novel paradigm to examine the effect of language exposure and variable input on the acquisition of words in primary school--aged children. Children growing up with different languages and foreign or regional accents in their input might benefit from their experience with variability when learning new words from peers with unfamiliar…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, Pronunciation
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Annamalai, Nagaletchimee; Uthayakumaran, Arulselvi; Zyoud, Samer H. – Education and Information Technologies, 2023
AR and VR are new introductions in many developing countries, including Malaysia. The present study conducted a qualitative case study with 23 high school teachers and investigated their perceptions of AR and VR in English language teaching and learning activities. A semi-structured interview was employed to collect the data. The data was analysed…
Descriptors: Foreign Countries, High School Teachers, English (Second Language), Second Language Instruction
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Tseng, Yi-Kuan; Lin, Fan-Sheng; Tarng, Wernhuar; Lu, Yu-Ling; Wang, Tzu-Ling – Journal of Baltic Science Education, 2023
Physical and virtual labs have unique capabilities that can influence how students learn from them. The purpose of this study was to examine the effect of physical and virtual manipulatives on students' learning of heat and temperature and to examine the influence of various combinations of physical and virtual manipulatives. A total of 205…
Descriptors: Science Laboratories, Elementary School Science, Elementary School Students, Computer Simulation
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Dayal, Vikram – International Journal of Mathematical Education in Science and Technology, 2023
Epidemiological models have enhanced relevance because of the COVID-19 pandemic. In this note, we emphasize visual tools that can be part of a learning module geared to teaching the SIR epidemiological model, suitable for advanced undergraduates or beginning graduate students in disciplines where the level of prior mathematical knowledge of…
Descriptors: Biology, Visual Aids, Epidemiology, Science Instruction
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Robitzsch, Alexander; Lüdtke, Oliver – Large-scale Assessments in Education, 2023
One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly administered in each assessment. Linking methods based on item response theory (IRT) models are used to align the results from the different…
Descriptors: Educational Trends, Trend Analysis, International Assessment, Achievement Tests
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Yangin Ersanli, Ceylan – Novitas-ROYAL (Research on Youth and Language), 2023
The incorporation of technology has revolutionized the education industry, with augmented reality (AR) being one of the emerging technologies that exhibit great potential in educational settings. This study examines the efficacy of AR in enhancing vocabulary learning and retention among young 5th-grade learners. This study was conducted with 56…
Descriptors: Computer Simulation, Story Telling, Vocabulary Development, Retention (Psychology)
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