Summarization
Overview
- Influence: Summarization
- Domain: Student Learning Strategies
- Sub-Domain: Learning strategies
- Potential to Accelerate Student Achievement: Potential to considerably accelerate
- Influence Definition: The ability to summarize a text is often taken as a marker of reading comprehension, and for this reason many scholars have advocated explicit summarization training for students who struggle with comprehension. This can include deleting unnecessary material, deleting material that is redundant, substituting a subordinate term for a list of items or actions, selecting a topic sentence, and constructing a topic if one is only implicitly suggested by the text.
Evidence
- Number of meta-analyses: 3
- Number of studies: 384
- Number of students: 1,914
- Number of effects: 384
- Effect size: 0.74
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 |
---|---|---|---|---|---|---|---|---|---|
Nature: Science of Learning | Donoghue & Hattie | Australia | Learning strategies: A synthesis and conceptual model | 2018 | Summarization | 234 | 1,914 | 234 | 0.44 |
Educational Research Review | Dignath, Buettner, & Langfeldt | Netherlands | How can primary school students learn self-regulated learning strategies most effectively?: A meta-analysis on self-regulation training programmes | 2008 | Summarization | 50 | 0 | 50 | 0.75 |
Unpublished Thesis | Crismore | USA | Landscapes: a state-of-the-art assessment of reading comprehension research 1974-1984 Final Report | 1985 | Summarizing strategies | 100 | 0 | 100 | 1.04 |
TOTAL/AVERAGE | 384 | 1,914 | 384 | 0.74 |
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 | 2 | 4 | 1 | 3 | 3 |