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Shaha, Steven H.; Glassett, Kelly F.; Rosenlund, David; Copas, Aimee; Huddleston, T. Lisa – Journal of International Education Research, 2016
Societies continue to absorb increased burdens in cost for helping citizens unable to achieve at optimal levels. Building on past research, we project educational benefits to offset current societal burdens through enhanced educator capabilities. Studies reviewed show participation in a high-impact professional development and learning solution…
Descriptors: Educational Benefits, Teacher Effectiveness, Faculty Development, Computation
Kern, Holger L.; Stuart, Elizabeth A.; Hill, Jennifer; Green, Donald P. – Journal of Research on Educational Effectiveness, 2016
Randomized experiments are considered the gold standard for causal inference because they can provide unbiased estimates of treatment effects for the experimental participants. However, researchers and policymakers are often interested in using a specific experiment to inform decisions about other target populations. In education research,…
Descriptors: Educational Research, Generalization, Sampling, Participant Characteristics
Simpson, Melanie Rae – Advances in Physiology Education, 2016
As a newcomer, the philosophical basis of systems biology seems intuitive and appealing, the underlying philosophy being that the whole of a living system cannot be completely understood by the study of its individual parts. Yet answers to the questions "What is systems biology?" and "What constitutes a systems biology approach in…
Descriptors: Graduate Students, Biology, Systems Approach, Physiology
Hurdle, Zach; Warshauer, Max; White, Alex – Mathematics Teacher, 2016
The desire to persuade students to avoid strictly memorizing formulas is a recurring theme throughout discussions of curriculum and problem solving. In combinatorics, a branch of discrete mathematics, problems can be easy to write--identify a few categories, add a few restrictions, specify an outcome--yet extremely challenging to solve. A lesson…
Descriptors: Mathematics Instruction, Mathematics Activities, Mathematical Formulas, Computation
Voutsina, Chronoula – Educational Studies in Mathematics, 2016
Empirical research has documented how children's early counting develops into an increasingly abstract process, and initial counting procedures are reified as children develop and use more sophisticated counting. In this development, the learning of different oral counting sequences that allow children to count in steps bigger than one is seen as…
Descriptors: Computation, Young Children, Mathematics Instruction, Mathematics Education
Anobile, Giovanni; Castaldi, Elisa; Turi, Marco; Tinelli, Francesca; Burr, David C. – Developmental Psychology, 2016
Considerable recent work suggests that mathematical abilities in children correlate with the ability to estimate numerosity. Does math correlate only with numerosity estimation, or also with other similar tasks? We measured discrimination thresholds of school-age (6- to 12.5-years-old) children in 3 tasks: numerosity of patterns of relatively…
Descriptors: Mathematics Skills, Children, Correlation, Computation
Patil, Umesh; Hanne, Sandra; Burchert, Frank; De Bleser, Ria; Vasishth, Shravan – Cognitive Science, 2016
Individuals with agrammatic Broca's aphasia experience difficulty when processing reversible non-canonical sentences. Different accounts have been proposed to explain this phenomenon. The Trace Deletion account (Grodzinsky, 1995, 2000, 2006) attributes this deficit to an impairment in syntactic representations, whereas others (e.g., Caplan,…
Descriptors: Aphasia, Language Processing, Sentences, Language Impairments
DeMars, Christine E. – Educational and Psychological Measurement, 2016
Partially compensatory models may capture the cognitive skills needed to answer test items more realistically than compensatory models, but estimating the model parameters may be a challenge. Data were simulated to follow two different partially compensatory models, a model with an interaction term and a product model. The model parameters were…
Descriptors: Item Response Theory, Models, Thinking Skills, Test Items
Roy, George J.; Hodges, Thomas E.; Graul, LuAnn – Mathematics Teaching in the Middle School, 2016
Who will make a better estimate concerning the number of jelly beans in a jar, a single person or a group of people? On one side of the debate is the notion that a person would make a better decision because he or she uses unique knowledge that the group may not possess. On the opposite side of the argument is the claim that because of their…
Descriptors: Mathematics Instruction, Secondary School Mathematics, Middle School Students, Teaching Methods
Basu, Satabdi; Biswas, Gautam; Sengupta, Pratim; Dickes, Amanda; Kinnebrew, John S.; Clark, Douglas – Research and Practice in Technology Enhanced Learning, 2016
Computational thinking (CT) parallels the core practices of science, technology, engineering, and mathematics (STEM) education and is believed to effectively support students' learning of science and math concepts. However, despite the synergies between CT and STEM education, integrating the two to support synergistic learning remains an important…
Descriptors: Science Instruction, STEM Education, Concept Formation, Middle School Students
Hughes, Elizabeth M.; Powell, Sarah R.; Stevens, Elizabeth A. – Grantee Submission, 2016
One influence contributing to this trend may be the imprecise use of mathematics language. Educators may not interpret mathematics as a second (or third) language for children, when, in fact, all children are mathematical-language learners (Barrow, 2014). The numerals, symbols, and terms that explain mathematics concepts and procedures are…
Descriptors: Disabilities, Mathematics Achievement, Low Achievement, Elementary School Mathematics
Liu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
Norton, Anderson – North American Chapter of the International Group for the Psychology of Mathematics Education, 2016
In this theoretical paper, I consider reversibility as a defining characteristic of mathematics. Inverse pairs of formalized operations, such as multiplication and division, provide obvious examples of this reversibility. However, there are exceptions, such as multiplying by 0. If we are to follow Piaget's lead in defining mathematics as the…
Descriptors: Mathematical Applications, Mathematical Formulas, Mathematics Instruction, Multiplication
Education Development Center, Inc., 2016
In the domain of "Counting & Cardinality," Common Core State Standards indicate that by the time students leave kindergarten, they should know the names and sequence of number words up to 100, be able to count to determine the number of objects in a small set (up to 20), and make comparisons between small sets of objects (National…
Descriptors: Mathematics Instruction, Mathematics Skills, Computation, Numeracy
Falk, Carl F.; Cai, Li – Grantee Submission, 2016
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Item Response Theory, Guessing (Tests), Mathematics Tests, Simulation

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