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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

Meta-Analyses
Journal Article Author First Author's Country Journal Title 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 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Unpublished Thesis Crismore USA Landscapes: a state-of-the-art assessment of reading comprehension research 1974-1984 Final Report 1985 Summarizing strategies 100 100 1.04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+
Confidences
Number of Meta-Analyses Number of Studies Number of Students Number of Effects Overall Confidence
Confidence Factor 2 4 1 3 3
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