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Hilary Wething – Economic Policy Institute, 2024
Universal voucher programs for schools are rapidly expanding across the country. Under these programs, states give parents stipends to either homeschool their children or send them to private school. The growing popularity of vouchers raises a host of crucial questions and concerns. Key to informing the debate are questions of public finance and…
Descriptors: Educational Vouchers, Public Education, Educational Finance, Costs
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Nanette M. Wachter; Evan H. Kreth; Ronald P. D'Amelia – Journal of Chemical Education, 2024
Keto-enol tautomerization is paramount to understanding the mechanisms involved in many organic reactions and biochemical transformations. Isomerization of an enol to a carbonyl compound is typically introduced during the discussion of the acid-catalyzed electrophilic addition of water to alkynes. The tautomerization of carbonyl compounds to enol…
Descriptors: Science Instruction, Chemistry, Scientific Concepts, Concept Formation
Sangbaek Park – ProQuest LLC, 2024
This dissertation used synthetic datasets, semi-synthetic datasets, and a real-world dataset from an educational intervention to compare the performance of 15 machine learning and multiple imputation methods to estimate the individual treatment effect (ITE). In addition, it examined the performance of five evaluation metrics that can be used to…
Descriptors: Artificial Intelligence, Computation, Evaluation Methods, Bayesian Statistics
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Sebastian Holt; David Barner – Cognitive Science, 2025
Humans count to indefinitely large numbers by recycling words from a finite list, and combining them using rules--for example, combining sixty with unit labels to generate sixty-one, sixty-two, and so on. Past experimental research has focused on children learning base-10 systems, and has reported that this rule learning process is highly…
Descriptors: Computation, Numbers, Adult Students, Number Concepts
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Jianbin Fu; TsungHan Ho; Xuan Tan – Practical Assessment, Research & Evaluation, 2025
Item parameter estimation using an item response theory (IRT) model with fixed ability estimates is useful in equating with small samples on anchor items. The current study explores the impact of three ability estimation methods (weighted likelihood estimation [WLE], maximum a posteriori [MAP], and posterior ability distribution estimation [PST])…
Descriptors: Item Response Theory, Test Items, Computation, Equated Scores
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Jess Sullivan; Joseph Alvarez; Sophie Cramer-Benjamin; Sadie Holcomb; Melissa Nolan; Alex Morabito; David Barner – Journal of Numerical Cognition, 2025
When children first learn to count, what do they understand about the structure of the count system? The present study investigated English-speaking children's ability to generalize the rules that structure their count list to novel contexts. A total of N = 86 children (3;0-6;11) completed a battery of tasks aimed at measuring their understanding…
Descriptors: Computation, Young Children, Novelty (Stimulus Dimension), English
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Theresa Elise Wege; Taeko Bourque; Rebecca Merkley; Pierina Cheung – Journal of Numerical Cognition, 2025
The Give-N (give-a-number) task has become a popular assessment of children's number words and counting knowledge since Wynn's (1990, 1992) seminal work over 30 years ago. Using the Give-N task, numerous studies have shown that children learn the first few number words slowly, before they understand how counting represents number. This learning…
Descriptors: Knowledge Level, Numbers, Vocabulary, Computation
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Wanichaya Srisuk; Suwat Julsuwan – Journal of Education and Learning, 2025
This research aimed to: (1) investigate the components and indicators of computational thinking learning experience management competency of early childhood teachers in educational institutions under the Office of the Basic Education Commission; and (2) examine the congruence of these components and indicators. The research was conducted in two…
Descriptors: Computation, Thinking Skills, Early Childhood Teachers, Early Childhood Education
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Andrea Ramirez-Salgado; Christine Wusylko; Lauren Weisberg; Johnny Delgado; Maya Israel – ACM Transactions on Computing Education, 2025
Computational Thinking (CT) is a critical set of 21st-century skills that young learners must develop to be successful in contemporary work and life. As more K-12 schools begin to integrate CT into the curriculum, Elementary Preservice Teachers (EPSTs) must be prepared to teach CT to their future students. Therefore, elementary teacher preparation…
Descriptors: Elementary School Teachers, Preservice Teachers, Computation, Thinking Skills
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Ricca, Bernard P.; Blaine, Bruce E. – Journal of Experimental Education, 2022
Researchers are encouraged to report effect size statistics to quantify treatment effects or effects due to group differences. However, estimates of effect sizes, most commonly Cohen's "d," make assumptions about the distribution of data that are not always true. An alternative nonparametric estimate of effect size, relying on the median…
Descriptors: Nonparametric Statistics, Computation, Effect Size
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Kozinc, Žiga; Pleša, Jernej – Measurement in Physical Education and Exercise Science, 2023
Vertical jump height is a widely used variable in sport science and physical education. This narrative review summarizes various numerical methods used to calculate vertical jump height. In force plate technology, the jump height is most commonly calculated using the flight time (FT) or the takeoff velocity (TOV), which provide only the distance…
Descriptors: Physical Activities, Scientific Concepts, Measurement Techniques, Computation
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Su, Hsu-Lin; Chen, Po-Hsi – Educational and Psychological Measurement, 2023
The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…
Descriptors: Data Analysis, Correlation, Classification, Factor Structure
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Piantadosi, Steven T. – Child Development, 2023
The study of how children learn numbers has yielded one of the most productive research programs in cognitive development, spanning empirical and computational methods, as well as nativist and empiricist philosophies. This paper provides a tutorial on how to think computationally about learning models in a domain like number, where learners take…
Descriptors: Cognitive Development, Child Development, Computation, Models
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Alexander Robitzsch; Oliver Lüdtke – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes. In a recent study, Bailey et al. demonstrated through a simulation study that the between-person variance components in the RICLPM can occur only due…
Descriptors: Longitudinal Studies, Correlation, Time, Simulation
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John W. Keller; Arianna L. Demmerly – Journal of Chemical Education, 2025
This computational exercise gives students an in-depth look at the reactants, transition state, and product of the crystal violet alkaline hydrolysis reaction. The exercise, which is aimed at second semester general chemistry students, involves DFT energy calculations on five structures: crystal violet cation, crystal violet alcohol, and 4-water…
Descriptors: Chemistry, Science Education, Computation, Scientific Concepts
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