Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Experimental Groups | 2 |
| Mathematical Formulas | 2 |
| Statistical Significance | 2 |
| Academic Achievement | 1 |
| Achievement Gains | 1 |
| Achievement Tests | 1 |
| Active Learning | 1 |
| Algebra | 1 |
| Attitude Measures | 1 |
| Comparative Analysis | 1 |
| Control Groups | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
| Grade 9 | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textÇakiroglu, Ünal – Eurasian Journal of Educational Research, 2014
Problem statement: Although there is agreement on the potential of project based learning (PBL) and virtual manipulatives (VMs), their positive impact depends on how they are used. This study was based on supporting the use of online PBL environments and improving the efficacy of the instructional practices in PBL by combining the potentials of…
Descriptors: Virtual Classrooms, Comparative Analysis, Active Learning, Student Projects
Peer reviewedMagee, Kevin N.; Overall, John E. – Educational and Psychological Measurement, 1992
Formulae for estimating individual rater reliabilities from analysis of treatment effects are presented and evaluated. Monte Carlo methods illustrate the formulae. Results indicate that large sample sizes, large true treatment effects, and large differences in the actual reliabilities of raters are required for the approach to be useful. (SLD)
Descriptors: Effect Size, Estimation (Mathematics), Experimental Groups, Mathematical Formulas
