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Mix, Kelly S.; Bower, Corinne A.; Yuan, Lei; Hancock, Gregory R.; Smith, Linda B. – Educational Psychology, 2023
The current longitudinal study measured 279 kindergartners' (M[subscript age] = 5.76 years; SD = 0.55; 135 females) place value understanding using both approximate and syntactic measures based on previous evidence that early variation in performance on approximate measures was associated with subsequent syntactic place value understanding. In the…
Descriptors: Kindergarten, Number Concepts, Computation, Grade 2
Baroody, Arthur J.; Mix, Kelly S.; Kartal, Gamze; Lai, Meng-lung – Journal of Numerical Cognition, 2023
Number-recognition tasks, such as the how-many task, involve set-to-word mapping, and number-creation tasks, such as the give-n task, entail word-to-set mapping. The present study involved comparing sixty 3-year-olds' performance on the two tasks with collections of one to three items over three time points about 3 weeks apart. Inconsistent with…
Descriptors: Number Concepts, Recall (Psychology), Task Analysis, Preschool Children
Corinne A. Bower; Kelly S. Mix; Gregory R. Hancock; Lei Yuan; Linda B. Smith – Journal of Cognition and Development, 2024
Children's early accuracy on place value (PV) tasks longitudinally predicts their later multidigit calculation skills. However, another window into children's emerging base-ten concepts is the pattern of errors -- "smart errors" -- they exhibit on these measures. Past research has speculated that these smart errors -- similar to invented…
Descriptors: Number Concepts, Accuracy, Error Patterns, Kindergarten
Kwon, Kyungbin; Jeon, Minji; Guo, Meize; Yan, Ge; Kim, Jiyoung; Ottenbreit-Leftwich, Anne T.; Brush, Thomas A. – Journal of Research on Technology in Education, 2023
The primary goals of this research were to investigate the development of computational thinking (CT) skills among elementary students and to identify areas for improvement in their CT practices. Empirical investigations, accomplished in a learner-centered, problem-based learning curriculum for sixth-graders, sought to examine student proficiency…
Descriptors: Computation, Thinking Skills, Problem Based Learning, Elementary School Students
Hu, Mingjia; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which…
Descriptors: Classification, Recognition (Psychology), Computation, Models
Madamanchi, Aasakiran; Thomas, Madison; Magana, Alejandra; Heiland, Randy; Macklin, Paul – PRIMUS, 2022
There is growing awareness of the need for mathematics and computing to quantitatively understand the complex dynamics and feedbacks in the life sciences. Although several institutions and research groups are conducting pioneering multidisciplinary research, communication and education across fields remain a bottleneck. The opportunity is ripe for…
Descriptors: Mathematics Instruction, Biological Sciences, Interdisciplinary Approach, Computation
Verrett, Jonathan; Boukouvala, Fani; Dowling, Alexander; Ulissi, Zachary; Zavala, Victor – Chemical Engineering Education, 2020
Computational notebooks are an increasingly common tool used to support student learning in a variety of contexts where computer programming can be applied. These notebooks provide an easily distributable method of displaying text and images, as well as sections of computer code that can be manipulated and run in real-time. This format allows…
Descriptors: Computer Science Education, Programming, Programming Languages, College Students
Konstantopoulos, Spyros; Li, Wei; Miller, Shazia; van der Ploeg, Arie – Educational and Psychological Measurement, 2019
This study discusses quantile regression methodology and its usefulness in education and social science research. First, quantile regression is defined and its advantages vis-à-vis vis ordinary least squares regression are illustrated. Second, specific comparisons are made between ordinary least squares and quantile regression methods. Third, the…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Research, Social Science Research
Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
Pudwell, Lara – PRIMUS, 2017
In this paper, we discuss the Experimental Mathematics course taught at Valparaiso University since 2009. We focus on aspects of the course that facilitate students' abilities to ask and explore their own research questions.
Descriptors: Inquiry, Mathematics, Mathematics Instruction, Mathematics Education
Chan, Wendy – AERA Online Paper Repository, 2017
Policymakers are increasingly interested in the extent to which experimental results generalize from a sample to a population of inference. When the sample is not randomly selected, propensity score methods are used to reweight the sample. Subclassification by propensity score is commonly used in which the population is partitioned into strata…
Descriptors: Generalization, Classification, Randomized Controlled Trials, Inferences
Byram, Jessica N.; Seifert, Mark F.; Brooks, William S.; Fraser-Cotlin, Laura; Thorp, Laura E.; Williams, James M.; Wilson, Adam B. – Anatomical Sciences Education, 2017
With integrated curricula and multidisciplinary assessments becoming more prevalent in medical education, there is a continued need for educational research to explore the advantages, consequences, and challenges of integration practices. This retrospective analysis investigated the number of items needed to reliably assess anatomical knowledge in…
Descriptors: Anatomy, Science Tests, Test Items, Test Reliability
Office of Educational Technology, US Department of Education, 2019
To help teachers implement new, research-based approaches for leveraging technology to improve science, technology, engineering and mathematics (STEM) learning, a systematic review of the research literature on the impact of integrating innovative digital technology in STEM and computer science curricula and classrooms was conducted. For purposes…
Descriptors: STEM Education, Educational Technology, Technology Uses in Education, Teaching Methods
Li, Wei; Konstantopoulos, Spyros – Educational and Psychological Measurement, 2017
Field experiments in education frequently assign entire groups such as schools to treatment or control conditions. These experiments incorporate sometimes a longitudinal component where for example students are followed over time to assess differences in the average rate of linear change, or rate of acceleration. In this study, we provide methods…
Descriptors: Educational Experiments, Field Studies, Models, Randomized Controlled Trials
Auberry, Kathy; Cullen, Deborah – Journal of Intellectual Disabilities, 2016
Based on the results of the Surrogate Decision-Making Self Efficacy Scale (Lopez, 2009a), this study sought to determine whether nurses working in the field of intellectual disability (ID) experience increased confidence when they implemented the American Association of Neuroscience Nurses (AANN) Seizure Algorithm during telephone triage. The…
Descriptors: Program Implementation, Evidence Based Practice, Seizures, Computation