Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Computer Simulation | 3 |
| Monte Carlo Methods | 3 |
| Predictor Variables | 3 |
| Calculus | 1 |
| Computation | 1 |
| Computer Games | 1 |
| Computer Software | 1 |
| Correlation | 1 |
| Data Analysis | 1 |
| Equations (Mathematics) | 1 |
| Evaluation Methods | 1 |
| More ▼ | |
Author
| Benakli, Nadia | 1 |
| De Corte, Wilfried | 1 |
| Kostadinov, Boyan | 1 |
| Satyanarayana, Ashwin | 1 |
| Singh, Satyanand | 1 |
| Tracz, Susan M. | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkBenakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
De Corte, Wilfried – Educational and Psychological Measurement, 2004
The article describes a Windows program to estimate the expected value and sampling distribution function of the adverse impact ratio for general multistage selections. The results of the program can also be used to predict the risk that a future selection decision will result in an outcome that reflects the presence of adverse impact. The method…
Descriptors: Sampling, Measurement Techniques, Evaluation Methods, Computer Software
Peer reviewedTracz, Susan M.; And Others – Educational and Psychological Measurement, 1992
Effects of violating the independence assumption when combining correlation coefficients in a meta-analysis were studied. This Monte-Carlo simulation varied sample size, predictor number, population intercorrelation among predictors, and population correlation between predictors and criterion. Combining statistics from nonindependent data in a…
Descriptors: Computer Simulation, Correlation, Equations (Mathematics), Mathematical Models
