Publication Date
| In 2026 | 0 |
| Since 2025 | 293 |
| Since 2022 (last 5 years) | 1593 |
| Since 2017 (last 10 years) | 3429 |
| Since 2007 (last 20 years) | 7368 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 824 |
| Teachers | 822 |
| Researchers | 200 |
| Students | 116 |
| Policymakers | 44 |
| Administrators | 34 |
| Parents | 26 |
| Community | 6 |
| Counselors | 3 |
| Media Staff | 2 |
Location
| Australia | 215 |
| Turkey | 140 |
| United States | 113 |
| China | 108 |
| Canada | 102 |
| United Kingdom | 79 |
| Indonesia | 68 |
| United Kingdom (England) | 67 |
| California | 66 |
| Spain | 66 |
| Taiwan | 66 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 15 |
| Meets WWC Standards with or without Reservations | 22 |
| Does not meet standards | 6 |
Barrouillet, Pierre; Thevenot, Catherine; Fayol, Michel – Journal of Experimental Child Psychology, 2010
The aim of this study was to provide evidence for knowledge of the syntax governing the verbal form of large numbers in preschoolers long before they are able to count up to these numbers. We reasoned that if such knowledge exists, it should facilitate the maintenance in short-term memory of lists of lexical primitives that constitute a number…
Descriptors: Syntax, Numbers, Short Term Memory, Recall (Psychology)
Tueller, Stephen; Lubke, Gitta – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Structural equation mixture models (SEMMs) are latent class models that permit the estimation of a structural equation model within each class. Fitting SEMMs is illustrated using data from 1 wave of the Notre Dame Longitudinal Study of Aging. Based on the model used in the illustration, SEMM parameter estimation and correct class assignment are…
Descriptors: Structural Equation Models, Computation, Classification, Longitudinal Studies
Duvvuri, Sri Devi; Gruca, Thomas S. – Psychometrika, 2010
Identifying price sensitive consumers is an important problem in marketing. We develop a Bayesian multi-level factor analytic model of the covariation among household-level price sensitivities across product categories that are substitutes. Based on a multivariate probit model of category incidence, this framework also allows the researcher to…
Descriptors: Marketing, Costs, Consumer Economics, Models
Modeling a Neural Network as a Teaching Tool for the Learning of the Structure-Function Relationship
Salinas, Dino G.; Acevedo, Cristian; Gomez, Christian R. – Advances in Physiology Education, 2010
The authors describe an activity they have created in which students can visualize a theoretical neural network whose states evolve according to a well-known simple law. This activity provided an uncomplicated approach to a paradigm commonly represented through complex mathematical formulation. From their observations, students learned many basic…
Descriptors: Integrated Curriculum, Mathematics, Models, Health Personnel
Asiru, Muniru A. – International Journal of Mathematical Education in Science and Technology, 2010
In this note, we introduce M-bonomial coefficients or (M-bonacci binomial coefficients). These are similar to the binomial and the Fibonomial (or Fibonacci-binomial) coefficients and can be displayed in a triangle similar to Pascal's triangle from which some identities become obvious.
Descriptors: Mathematics Activities, Mathematics Education, Theories, Number Concepts
Cakmak, Devrim – International Journal of Mathematical Education in Science and Technology, 2010
In this note, by using elementary calculus on time scales, we recall the direct proof of the equivalence between Rolle's and generalized (Cauchy's) mean value theorems on time scales.
Descriptors: Calculus, Mathematical Logic, Validity, Mathematics Education
Jue, Brian – International Journal of Mathematical Education in Science and Technology, 2010
Separate a three-digit number into its component digits. After raising each digit to the third power and computing the sum of the cubes, determine how often the original number reappears. Modular arithmetic is used to reduce the number of potential solutions to a more manageable quantity. (Contains 4 tables.)
Descriptors: Arithmetic, Mathematics Instruction, Computation, Problem Solving
Rijmen, Frank – Journal of Educational Measurement, 2010
Testlet effects can be taken into account by incorporating specific dimensions in addition to the general dimension into the item response theory model. Three such multidimensional models are described: the bi-factor model, the testlet model, and a second-order model. It is shown how the second-order model is formally equivalent to the testlet…
Descriptors: Computation, Item Response Theory, Models, Maximum Likelihood Statistics
Gilliland, Dennis; Melfi, Vince – Journal of Statistics Education, 2010
Confidence interval estimation is a fundamental technique in statistical inference. Margin of error is used to delimit the error in estimation. Dispelling misinterpretations that teachers and students give to these terms is important. In this note, we give examples of the confusion that can arise in regard to confidence interval estimation and…
Descriptors: Statistical Inference, Surveys, Intervals, Sample Size
Mason, John – Mathematics Teaching, 2010
Why do definitions play such a central role in mathematics? It may seem obvious that precision about the terms one uses is necessary in order to use those terms reasonably (while reasoning). Definitions are chosen so as to be definite about the terms one uses, but also to make both the statement of, and the reasoning to justify, theorems as…
Descriptors: Definitions, Mathematics Instruction, Mathematical Concepts, Teaching Methods
Watson, Anne – Mathematics Teaching, 2010
This article is the first in a series which draws on findings from Nunes, Watson and Bryant (2009): "Key understandings in school mathematics: a report to the Nuffield Foundation." The Nuffield report is soundly based on research about how children learn some of the concepts involved in mathematics. In this series of articles the author takes key…
Descriptors: Mathematics Instruction, Mathematical Concepts, Number Concepts, Computation
Thompson, Barry L.; Green, Samuel B.; Yang, Yanyun – Educational and Psychological Measurement, 2010
The maximal split-half coefficient is computed by calculating all possible split-half reliability estimates for a scale and then choosing the maximal value as the reliability estimate. Osburn compared the maximal split-half coefficient with 10 other internal consistency estimates of reliability and concluded that it yielded the most consistently…
Descriptors: Reliability, Computation, Simulation, Statistical Analysis
Quinn, Robert J.; Ball, Tom S.; You, Zhixia – Teaching Statistics: An International Journal for Teachers, 2010
We present a simple card game whose payout depends on a player's strategy, as well as on chance. Solutions require the use of conditional analysis and the computation of expected values.
Descriptors: Teaching Methods, Mathematics Instruction, Probability, Games
Sterba, Sonya K.; MacCallum, Robert C. – Multivariate Behavioral Research, 2010
Different random or purposive allocations of items to parcels within a single sample are thought not to alter structural parameter estimates as long as items are unidimensional and congeneric. If, additionally, numbers of items per parcel and parcels per factor are held fixed across allocations, different allocations of items to parcels within a…
Descriptors: Sampling, Computation, Statistical Analysis, Computer Software
van der Linden, Wim J.; Klein Entink, Rinke H.; Fox, Jean-Paul – Applied Psychological Measurement, 2010
Hierarchical modeling of responses and response times on test items facilitates the use of response times as collateral information in the estimation of the response parameters. In addition to the regular information in the response data, two sources of collateral information are identified: (a) the joint information in the responses and the…
Descriptors: Item Response Theory, Reaction Time, Computation, Bayesian Statistics

Peer reviewed
Direct link
