Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Algorithms | 2 |
| Elementary Secondary Education | 2 |
| Multivariate Analysis | 2 |
| Aesthetics | 1 |
| Algebra | 1 |
| Calculus | 1 |
| Digital Literacy | 1 |
| Econometrics | 1 |
| Elementary School Mathematics | 1 |
| Expenditure per Student | 1 |
| Information Technology | 1 |
| More ▼ | |
Publication Type
| Books | 1 |
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkHiroto Namihira – IGI Global, 2024
Academic scholars face a difficult challenge when attempting to grasp the intricate world of mathematics. The complexity of mathematical concepts often lies hidden beneath layers of formulas and procedures, obscuring their true essence. Traditional educational resources often fall short in conveying the profound meaning behind these concepts,…
Descriptors: Information Technology, Visual Aids, Mathematics Education, Technology Uses in Education
Peer reviewedBaker, Bruce D.; Richards, Craig E. – Economics of Education Review, 1999
Applies neural network methods for forecasting 1991-95 per-pupil expenditures in U.S. public elementary and secondary schools. Forecasting models included the National Center for Education Statistics' multivariate regression model and three neural architectures. Regarding prediction accuracy, neural network results were comparable or superior to…
Descriptors: Algorithms, Econometrics, Elementary Secondary Education, Expenditure per Student
