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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
Baek, Youngkyun; Wang, Sasha; Yang, Dazhi; Ching, Yu-Hui; Swanson, Steve; Chittoori, Bhaskar – European Journal of STEM Education, 2019
This study, a sub-study of a National Science Foundation (NSF) funded research project, applies a modified strategy of the U[superscript 2]MC for an eight-week afterschool robotics curriculum to promote upper elementary students' computational thinking in the second grade. Twenty-one students in second grade participated in a Life on Mars project…
Descriptors: Grade 2, Robotics, Elementary School Students, Elementary School Science
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
Kiliç, Seval Deniz; Masal, Ercan – International Journal of Psychology and Educational Studies, 2019
With the understanding of importance of pedagogical content knowledge, professional noticing has become one of the research subjects of the mathematics educators for the last 10 years. This qualitative study which explores secondary school students' solution processes regarding the concept of equation ,one of the main components of algebraic…
Descriptors: Secondary School Students, Student Attitudes, Preservice Teachers, Observation
Borzekowski, Dina L. G.; Lando, Agnes Lucy; Olsen, Sara H.; Giffen, Lauren – International Journal of Early Childhood, 2019
Children in developing countries often lack sufficient support for early learning skills prior to beginning school. This research evaluates an educational media intervention using an animated cartoon program, "Akili and Me." The program was originally created in Tanzania to teach early learning skills. This program was adapted in content…
Descriptors: Educational Media, Intervention, Outcomes of Education, Early Childhood Education

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