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Roberson, C. Jean – Journal of Social Work Education, 2020
With the adoption of the 2015 Educational Policy and Accreditation Standards, the Council on Social Work Education accepted simulation as a means for students to accumulate field practice hours. However, little research exists addressing the use of simulation for social work student development. To effectively utilize simulation to develop social…
Descriptors: Simulation, Social Work, Professional Education, Experiential Learning
Bouck, Emily C.; Park, Jiyoon; Cwiakala, Katie; Whorley, Abbie – Journal of Behavioral Education, 2020
Fractions are an important mathematical concept for both more advanced mathematical concepts and daily living activities (e.g., cooking) and thus are important for all students to learn. In this study, researchers explored the use of the virtual-abstract (VA) instructional sequence to teach three middle school students with disabilities three…
Descriptors: Fractions, Mathematics Instruction, Teaching Methods, Computer Simulation
Senior, Alistair M.; Viechtbauer, Wolfgang; Nakagawa, Shinichi – Research Synthesis Methods, 2020
Meta-analyses are often used to estimate the relative average values of a quantitative outcome in two groups (eg, control and experimental groups). However, they may also examine the relative variability (variance) of those groups. For such comparisons, two relatively new effect size statistics, the log-transformed "variability ratio"…
Descriptors: Meta Analysis, Effect Size, Research Design, Simulation
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
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
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
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
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
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
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
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
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
Yi-Ju Wu; Dorothy M. Chun – Educational Technology & Society, 2025
Although the number of studies investigating the use of immersive VR (iVR) for language learning is rapidly rising, only a few studies have examined how teachers learn to incorporate iVR into their lesson planning and how they can take advantage of the unique affordances of the medium to aid language learning. This article reports on how 50…
Descriptors: Computer Simulation, Instructional Design, Preservice Teachers, Technology Uses in Education
William Smolander; Raine Aiava – Journal of Social Science Education, 2025
Purpose: Our research unpacks transformative learning through learning-with the city and the agency of encounters. We exemplify how post-human education methodologies can make students sensitive to rhythms beyond their own, helping them to get to know Earth as more than a backdrop for human activity. Approach: Walking the historical shoreline of…
Descriptors: Foreign Countries, Transformative Learning, Social Sciences, Computer Simulation
Luona Wang; Qiaoping Zhang; Daner Sun – International Journal of Science and Mathematics Education, 2025
Augmented reality (AR) has the potential to enhance visual cognition through virtual object experimentation and practice, while also fostering spatial skills relevant to mathematics. This experimental study was conducted with 86 sixth graders in Eastern China, involving a 3-month AR integrated Mathematics Curriculum (ARiMC), with pre- and…
Descriptors: Technology Integration, Mathematics Curriculum, Elementary School Mathematics, Spatial Ability

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