Self-judgement and reflection
Overview
- Influence: Self-judgement and reflection
- Domain: Student Learning Strategies
- Sub-Domain: Meta-cognitive/self-regulated learning
- Potential to Accelerate Student Achievement: Potential to considerably accelerate
- Influence Definition: Self-judgement is a critical component of independent, self- directed learning, and yet students can often over- or underestimate their own capabilities. Educational researchers have long advocated that teachers attempt to cultivate in students the ability to dispassionately apply established standards to their own work. Such an ability has gone by several names in academic scholarship: “evaluative knowledge,” “evaluative expertise,” “sustainable assessment,” “informed judgement,” or “self-judgement.” Yet, throughout this scholarship, researchers have pressed the importance of a student’s ability to reflect on her work, discern its relationship to established standards, and make self-judgements.
Evidence
- Number of meta-analyses: 1
- Number of studies: 54
- Number of students: 0
- Number of effects: 54
- Effect size: 0.75
Meta-Analyses
| Journal Title | Author | First Author's Country | Article Name | Year Published | Variable | Number of Studies | Number of Students | Number of Effects | Effect Size |
|---|---|---|---|---|---|---|---|---|---|
| Educational Research Review | Donker, de Boer, Kostons, van Ewijk, & Van der Werf | Effectiveness of learning strategy instruction on academic performance: A meta-analysis | 2014 | Evaluation & reflection | 54 | 0 | 54 | 0.75 | |
| TOTAL/AVERAGE | 54 | 0 | 54 | 0.75 | |||||
Confidence
The Confidence is the average of these four measures, each divided into five approximately equal groups and assigned a value from 1 to 5 based on the following criteria:
-
Number of Meta-analyses
- 1 = 1
- 2 = 2–3
- 3 = 4–6
- 4 = 7–9
- 5 = 10+
-
Number of Studies
- 1 = 1–10
- 2 = 11–50
- 3 = 51–200
- 4 = 201–400
- 5 = 400+
-
Number of Students
- 1 = 1–2,500
- 2 = 2,501–10,000
- 3 = 10,000–20,000
- 4 = 20,000–100,000
- 5 = 100,001+
-
Number of Effects
- 1 = 1–100
- 2 = 101–300
- 3 = 301–600
- 4 = 601–1,200
- 5 = 1,200+
| Number of Meta-Analyses | Number of Studies | Number of Students | Number of Effects | Overall Confidence | |
|---|---|---|---|---|---|
| Confidence Factor | 1 | 3 | 1 | 1 | 2 |