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Mangiulli, Ivan; Otgaar, Henry; Curci, Antonietta; Jelicic, Marko – Applied Cognitive Psychology, 2020
Research suggests that both internal (i.e., lying) and external (i.e., misinformation) factors can affect memory for a crime. We aimed to explore the effects of post-event misinformation on crime-related amnesia claims. We showed participants a mock crime and asked them to either simulate amnesia (simulators) or confess to it (confessors). Next,…
Descriptors: Deception, Memory, Crime, Recall (Psychology)
Reynolds, Kimberley; Schofield, Tom; Trujillo-Pisanty, Diego – Children's Literature in Education, 2020
This article draws on a multi-disciplinary project based on the David Almond archives at Seven Stories, the National Centre for Children's Books in Newcastle upon Tyne, UK. The project combined archival research, augmented reality (AR) technology, Almond's magical realist writing and experimental workshops to explore whether AR can enhance young…
Descriptors: Foreign Countries, Childrens Literature, Realism, Archives
Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
Hibbing, Paul R.; Bassett, David R.; Crouter, Scott E. – Research Quarterly for Exercise and Sport, 2020
Purpose: To assess changes in criterion validity when modifying cut-points for use in different epoch lengths. Method: Simulated free-living data came from 42 adolescents (2-hr each) and 29 adults (6-hr each) wearing a hip-worn accelerometer and portable indirect calorimeter (Cosmed K4b[superscript 2]). K4b[superscript 2] data were classified as…
Descriptors: Measurement Equipment, Simulation, Adolescents, Adults
Kim, Su-Young; Huh, David; Zhou, Zhengyang; Mun, Eun-Young – International Journal of Behavioral Development, 2020
Latent growth models (LGMs) are an application of structural equation modeling and frequently used in developmental and clinical research to analyze change over time in longitudinal outcomes. Maximum likelihood (ML), the most common approach for estimating LGMs, can fail to converge or may produce biased estimates in complex LGMs especially in…
Descriptors: Bayesian Statistics, Maximum Likelihood Statistics, Longitudinal Studies, Models
Chukhnov, Anton; Maytarattanakhon, Athit; Posov, Ilya; Pozdniakov, Sergei – Informatics in Education, 2020
The paper discusses a certain type of competitions based on distance interaction of a participant with simulation models of concepts from discrete mathematics and computer science. One of them is the "Construct, Test, Explore" (CTE) competition, developed by the authors, the other is the Olympiad in Discrete Mathematics and Theoretical…
Descriptors: Graphs, Computer Simulation, Mathematics, Computer Science
Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
A new index of item discrimination power (IDP), dimension-corrected Somers' D (D2) is proposed. Somers' D is one of the superior alternatives for item-total- (Rit) and item-rest correlation (Rir) in reflecting the real IDP with items with scales 0/1 and 0/1/2, that is, up to three categories. D also reaches the extreme value +1 and -1 correctly…
Descriptors: Item Analysis, Correlation, Test Items, Simulation
Fujimoto, Ken A.; Neugebauer, Sabina R. – Educational and Psychological Measurement, 2020
Although item response theory (IRT) models such as the bifactor, two-tier, and between-item-dimensionality IRT models have been devised to confirm complex dimensional structures in educational and psychological data, they can be challenging to use in practice. The reason is that these models are multidimensional IRT (MIRT) models and thus are…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Factor Structure
Chen, Chia-Wen; Wang, Wen-Chung; Chiu, Ming Ming; Ro, Sage – Journal of Educational Measurement, 2020
The use of computerized adaptive testing algorithms for ranking items (e.g., college preferences, career choices) involves two major challenges: unacceptably high computation times (selecting from a large item pool with many dimensions) and biased results (enhanced preferences or intensified examinee responses because of repeated statements across…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2020
Learning standards for K-12 science education emphasize the importance of engaging students in practices that scientists perform in their profession. K-12 teachers are expected to engage students in scientific modeling, which entails constructing, testing, evaluating, and revising their own models of science phenomena while pursuing an epistemic…
Descriptors: Coding, Science Education, Science Instruction, Models
Fu, Yanyan; Strachan, Tyler; Ip, Edward H.; Willse, John T.; Chen, Shyh-Huei; Ackerman, Terry – International Journal of Testing, 2020
This research examined correlation estimates between latent abilities when using the two-dimensional and three-dimensional compensatory and noncompensatory item response theory models. Simulation study results showed that the recovery of the latent correlation was best when the test contained 100% of simple structure items for all models and…
Descriptors: Item Response Theory, Models, Test Items, Simulation
Simões, Marco; Mouga, Susana; Pereira, Andreia C.; de Carvalho, Paulo; Oliveira, Guiomar; Castelo-Branco, Miguel – Journal of Autism and Developmental Disorders, 2020
Interpersonal distance (IPD) is a simple social regulation metric which is altered in autism. We performed a stop-distance paradigm to evaluate IPD regulation in autism spectrum disorder (ASD) and control groups in a real versus a virtual environment mimicking in detail the real one. We found a bimodal pattern of IPDs only in ASD. Both groups…
Descriptors: Autism, Pervasive Developmental Disorders, Social Behavior, Computer Simulation
Ali, Numan; Ullah, Sehat – Journal of Chemical Education, 2020
Different virtual chemistry laboratories (VCLs) have been developed with which students can perform and practice their practical and experimental work, thus increasing their learning before performing the same work in a real chemistry laboratory. In this paper, we present an analysis of the existing virtual chemistry laboratories by identifying…
Descriptors: Computer Simulation, Electronic Learning, Hands on Science, Chemistry
Ness, Ingunn Johanne; Dysthe, Olga – Creativity Research Journal, 2020
The primary objective of this paper is to offer a new way of understanding the creative processes of multidisciplinary groups, whose work is to generate innovative ideas. The paper reports from a project focused on organizational creativity at the group level, investigating what characterized such creative processes in that context. This project…
Descriptors: Creativity, Fantasy, Simulation, Interdisciplinary Approach
Capelo, Carlos; Pereira, Renato; Ferreira Dias, João – International Association for Development of the Information Society, 2020
Simulation-based learning environments are used extensively to support learning in complex business systems. Nevertheless, studies show that subjects have great difficulty in understanding and managing dynamic systems, mainly due to cognitive processing difficulties. Previous research has addressed some aspects of model transparency and…
Descriptors: Simulation, Teaching Methods, Models, Business Education

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