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Wiebels, Kristina; Addis, Donna Rose; Moreau, David; van Mulukom, Valerie; Onderdijk, Kelsey E.; Roberts, Reece P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Reports on differences between remembering the past and imagining the future have led to the hypothesis that constructing future events is a more cognitively demanding process. However, factors that influence these increased demands, such as whether the event has been previously constructed and the types of details comprising the event, have…
Descriptors: Cognitive Processes, Difficulty Level, Memory, Imagination
Revisiting the Role of Concept Mapping in Teaching and Learning Pathophysiology for Medical Students
Fonseca, Marta; Oliveira, Beatriz; Carreiro-Martins, Pedro; Neuparth, Nuno; Rendas, António – Advances in Physiology Education, 2020
Concept mapping methodology is a way of representing knowledge described as a useful tool in medical education. It was introduced in the pathophysiology curricular unit at NOVA Medical School in 2002, within an ongoing experience of problem-based learning. Our goal is to present a comparison between the students' opinions and performances in two…
Descriptors: Concept Mapping, Physiology, Medical Students, Problem Based Learning
DeMars, Christine E. – Journal of Experimental Education, 2020
Multilevel Rasch models are increasingly used to estimate the relationships between test scores and student and school factors. Response data were generated to follow one-, two-, and three-parameter logistic (1PL, 2PL, 3PL) models, but the Rasch model was used to estimate the latent regression parameters. When the response functions followed 2PL…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Simulation, Predictor Variables
Hartwig, Fernando P.; Davey Smith, George; Schmidt, Amand F.; Sterne, Jonathan A. C.; Higgins, Julian P. T.; Bowden, Jack – Research Synthesis Methods, 2020
Meta-analyses based on systematic literature reviews are commonly used to obtain a quantitative summary of the available evidence on a given topic. However, the reliability of any meta-analysis is constrained by that of its constituent studies. One major limitation is the possibility of small-study effects, when estimates from smaller and larger…
Descriptors: Meta Analysis, Research Methodology, Effect Size, Robustness (Statistics)
Jang, Yoonsun; Cohen, Allan S. – Educational and Psychological Measurement, 2020
A nonconverged Markov chain can potentially lead to invalid inferences about model parameters. The purpose of this study was to assess the effect of a nonconverged Markov chain on the estimation of parameters for mixture item response theory models using a Markov chain Monte Carlo algorithm. A simulation study was conducted to investigate the…
Descriptors: Markov Processes, Item Response Theory, Accuracy, Inferences
Karbowiak, Michal; Wibig, Tadeusz; Alvarez-Castillo, David; Beznosko, Dmitriy; Duffy, Alan R.; Góra, Dariusz; Homola, Piotr; Kasztelan, Marcin; Niedzwiecki, Michal – Physics Education, 2020
The Cosmic-Ray Extremely Distributed Observatory (CREDO) is the project to search and study ultra high-energy cosmic ray particles from deep space producing simultaneous extensive air showers over the entire exposed surface of the Earth. The concept of the CREDO infrastructure assumes absorbing all kinds of cosmic ray data from any apparatus all…
Descriptors: Science Instruction, Radiation, Science Activities, Energy
Sellberg, Charlott; Wiig, Astrid Camilla – Vocations and Learning, 2020
This study examines storytelling episodes in 13 video-recorded and fully transcribed post-simulation debriefings from a maritime navigation course. The aim is to scrutinize the facilitators' practice of telling stories from the sea during debriefings, to explore the organization and inner function of storytelling in debriefing. A combination of…
Descriptors: Marine Education, Story Telling, Navigation, Simulation
Lyford, Alex; Czekanski, Michael – Teaching Statistics: An International Journal for Teachers, 2020
Students are typically introduced to probability through calculating simple events like flipping a coin. While these calculations can be done by hand, more complex probabilistic events, both in class and in the real world, require the use of computers. In this paper, we introduce a new tool--an R shiny web app and associated CRAN package based on…
Descriptors: Probability, Games, Simulation, Mathematics Instruction
Hou, Likun; Terzi, Ragip; de la Torre, Jimmy – International Journal of Assessment Tools in Education, 2020
This study aims to conduct differential item functioning analyses in the context of cognitive diagnosis assessments using various formulations of the Wald test. In implementing the Wald test, two scenarios are considered: one where the underlying reduced model can be assumed; and another where a saturated CDM is used. Illustration of the different…
Descriptors: Cognitive Measurement, Diagnostic Tests, Item Response Theory, Models
Su, Dan; Steiner, Peter M. – Sociological Methods & Research, 2020
Factorial surveys use a population of vignettes to elicit respondents' attitudes or beliefs about different hypothetical scenarios. However, the vignette population is frequently too large to be assessed by each respondent. Experimental designs such as randomized block confounded factorial (RBCF) designs, D-optimal designs, or random sampling…
Descriptors: Surveys, Vignettes, Factor Analysis, Research Design
Efthimiou, Orestis; White, Ian R. – Research Synthesis Methods, 2020
Standard models for network meta-analysis simultaneously estimate multiple relative treatment effects. In practice, after estimation, these multiple estimates usually pass through a formal or informal selection procedure, eg, when researchers draw conclusions about the effects of the best performing treatment in the network. In this paper, we…
Descriptors: Models, Meta Analysis, Network Analysis, Simulation
Dudding, Carol C. – Teaching and Learning in Communication Sciences & Disorders, 2020
Simulations for clinical training is an example of a disruptive technology in that it offers great potential in the training and assessment of students and professionals in Communication Sciences and Disorders. As such, those considering adoption of simulations should anticipate the need for restructuring of the educational program in order to…
Descriptors: Simulation, Communication Disorders, Clinical Experience, Educational Change
Karen Jo Johnson – ProQuest LLC, 2020
The purpose of this study was to determine the effects of a simulation with worked examples on the creation of episodic memories and the troubleshooting ability of maintenance technician students. Previous research shows that domain knowledge, conceptual knowledge, strategic knowledge, and episodic memories are all required to successfully…
Descriptors: Simulation, Problem Solving, Memory, Troubleshooting
Dong, Yixiao; Dumas, Denis; Clements, Douglas H.; Sarama, Julie – Journal of Experimental Education, 2023
Dynamic Measurement Modeling (DMM) is a recently-developed measurement framework for gauging developing constructs (e.g., learning capacity) that conventional single-timepoint tests cannot assess. The current project developed a person-specific DMM Trajectory Deviance Index (TDI) that captures the aberrance of an individual's growth from the…
Descriptors: Measurement Techniques, Simulation, Student Development, Educational Research
White, Gary; Sikorski, Tiffany-Rose; Landay, Justin; Ahmed, Maryam – Physical Review Physics Education Research, 2023
Limiting case analysis (LCA) is important to practicing physicists. Yet, there is little concrete guidance for physics educators, and a lack of consensus in the research community about how to help students learn, and learn from, limiting case analysis. In this study, we first review existing literature to find commonalities and variations in how…
Descriptors: Energy, Magnets, Physics, Science Education

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