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Trninic, Dragan; Kapur, Manu; Sinha, Tanmay – Cognitive Science, 2020
When teaching a novel mathematical concept, should we present learners with abstract or concrete examples? In this experiment, we conduct a critical replication and extension of a well-known study that argued for the general advantage of abstract examples (Kaminski, Sloutsky, & Heckler, 2008a). We demonstrate that theoretically motivated yet…
Descriptors: Mathematics Education, Mathematical Concepts, Mathematics Instruction, Teaching Methods
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Haigh, Neil; Withell, Andrew John – Teaching & Learning Inquiry, 2020
Research paradigms constitute views that a researcher holds about (a) the nature of reality and what they can know about it (ontology); (b) the potential influence of their existing ideas and values on what they want to know, how they try to get to know, and criteria they use to make judgments about knowledge (epistemology); and (c) appropriate…
Descriptors: Scholarship, Instruction, Learning, Educational Research
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O'Bryan, Lisa; Beier, Margaret; Salas, Eduardo – Journal of Intelligence, 2020
Researchers of team behavior have long been interested in the essential components of effective teamwork. Much existing research focuses on examining correlations between team member traits, team processes, and team outcomes, such as collective intelligence or team performance. However, these approaches are insufficient for providing insight into…
Descriptors: Intelligence, Animals, Animal Behavior, Group Behavior
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Ferguson, Sarah L.; Moore, E. Whitney G.; Hull, Darrell M. – International Journal of Behavioral Development, 2020
The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) data inspection, (b) iterative evaluation of models,…
Descriptors: Statistical Analysis, Computer Software, Data Analysis, Goodness of Fit
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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
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Andries D'Souza, Lisa – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2020
While research supports development of a growth mindset in middle level classrooms, it has not uncovered a single solution to developing such mindsets. This article presents a model supporting teachers on their journey to empower students to develop a growth mindset. Grounded in research on teaching and learning and coupled with best practices of…
Descriptors: Middle School Teachers, Goal Orientation, Teaching Methods, Best Practices
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Marcoulides, Katerina M.; Yuan, Ke-Hai – International Journal of Research & Method in Education, 2020
Multilevel structural equation models (MSEM) are typically evaluated on the basis of goodness of fit indices. A problem with these indices is that they pertain to the entire model, reflecting simultaneously the degree of fit for all levels in the model. Consequently, in cases that lack model fit, it is unclear which level model is misspecified.…
Descriptors: Goodness of Fit, Structural Equation Models, Correlation, Inferences
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Inkinen, Janna; Klager, Christopher; Juuti, Kalle; Schneider, Barbara; Salmela-Aro, Katariina; Krajcik, Joseph; Lavonen, Jari – Science Education, 2020
This study seeks to understand how different scientific practices in high school science classrooms are associated with student situational engagement. In this study, situational engagement is conceptualized as the balance between skills, interest, and challenge when the reported experiences are all high. In this study, data on situational…
Descriptors: High School Students, Learner Engagement, Science Instruction, Foreign Countries
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Broos, Tom; Hilliger, Isabel; Pérez-Sanagustín, Mar; Htun, Nyi-Nyi; Millecamp, Martijn; Pesántez-Cabrera, Paola; Solano-Quinde, Lizandro; Siguenza-Guzman, Lorena; Zuñiga-Prieto, Miguel; Verbert, Katrien; De Laet, Tinne – British Journal of Educational Technology, 2020
Many Latin-American institutions recognise the potential of learning analytics (LA). However, the number of actual LA implementations at scale remains limited, notwithstanding considerable effort made to formulate guidelines and frameworks to support the LA policy development. Guidance on how to coordinate the interaction between the LA…
Descriptors: Learning Analytics, Policy Formation, Educational Policy, Guidelines
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Sawatzki, Carly; Zmood, Simone; Davidson, Aylie – Australian Mathematics Education Journal, 2020
This article argues the importance of teaching students about the philosophical and mathematical underpinnings of Australia's superannuation system as an example of a real-world problem context. It also provides a rationale for teaching financial modelling and decision-making in ways that respect the diverse financial realities represented in…
Descriptors: Mathematics Instruction, Money Management, Retirement Benefits, Mathematical Models
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Mintram, Kersha; Morgan, Brandon; de Bruin, Gideon P. – International Journal for Educational and Vocational Guidance, 2020
We investigated (a) the fit and structural equivalence of Holland's model of six vocational personality types in a sample of South African men (n = 139) and women (n = 268) using the South African Career Interest Inventory, and (b) mean score differences for men and women on these types. The results supported the fit and structural similarity of…
Descriptors: Gender Differences, Foreign Countries, Models, Vocational Interests
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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
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Schoevers, Eveline M.; Kroesbergen, Evelyn H.; Kattou, Maria – Journal of Creative Behavior, 2020
Creativity is an understudied topic in elementary school mathematics research. Nevertheless, we argue that creativity plays an important role in mathematics, but that more research is needed to understand this relation. Therefore, this study aimed to investigate this relation, specifically between domain-general creativity, domain-specific…
Descriptors: Creativity, Mathematics Skills, Elementary School Students, Grade 4
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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
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Beauducel, André; Kersting, Martin – Educational and Psychological Measurement, 2020
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor…
Descriptors: Factor Structure, Factor Analysis, Sample Size, Intelligence
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