| Evaluación | Efecto | Edad promedio | Observaciones | Evaluación experimental | País | Intervención |
|---|---|---|---|---|---|---|
| Dynatski 2007 | 4 | Grado 4 | 8,020 | Si | Estados Unidos | Los alumnos usaron software de lectura o matemática durante 50 minutos por semana |
| Wijekumar 2009 | 2 | Grado 4 | 2,456 | Si | Estados Unidos | Los alumnos usaron software de matemática Odyssey Math 1 hora por semana |
| Rosas 2003 | 28 | Grado 2 | 1,105 | Si | Chile | Los alumnos jugaron videojuegos de matemática y lectura durante 20-40 minutos al día |
| Carrillo 2010 | 30 | Grado 5 | 722 | Si | Ecuador | Las escuelas recibieron 4 computadoras, los directores y 2 maestros recibieron capacitación |
| Linden 2008 i | -48 | Grado 3 | 526 | Si | India | Los alumnos resolvieron ejercicios de matemática en computadoras durante 1/3 del tiempo escolar |
Graph of Effects
This graph shows the effects of [Number of Evaluations] evaluations of [Program Type] programs. The first evaluation, [Evaluation name 1], estimated an effect of [Estimated effect Eval. 1] points (graphed with the top grey circle). Because this is an estimate, there is uncertainty about what the true effect is. But we know that the true effect will probably lie between a low value of [True effect lie between – Low value, Eval. 1] and a high value of [True effect lie between – High value, Eval. 1] (graphed with the top horizontal line). We can combine the estimates from all the evaluations and compute an average effect of [Estimated effect, Average] (graphed with the black circle). There is also uncertainty about where the true average effect is. But we know that the true average effect probably lies between [True effect lie between – Low value, Average] and [True effect lie between – High value, Average] points (graphed with the bottom horizontal line).
| Evaluación | Efectos | Valor Mínimo | Valor Máximo | Peso en el efecto promedio (%) |
|---|---|---|---|---|
| Carrillo 2010 | 30 | 2 | 58 | 5 |
| Dynatski 2007 | 4 | 1 | 8 | 49 |
| Linden 2008 i | -48 | -89 | -8 | 3 |
| Rosas 2003 | 28 | -18 | 75 | 2 |
| Wijekumar 2009 | 2 | -3 | 7 | 41 |
| Overall |