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Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
Published on: September 20, 2020
Effect of working memory training on working memory, arithmetic and following instructions.
Sissela Bergman-Nutley1, Torkel Klingberg
1Department of Neuroscience, Karolinska Institutet, 171 76, Stockholm, Sweden.
Cognitive training improved working memory (WM) and arithmetic skills in children with WM deficits. This study shows cognitive training can benefit mathematical abilities, though further research is needed to enhance effects.
Area of Science:
- Cognitive psychology
- Educational neuroscience
- Developmental psychology
Background:
- Mathematical ability is linked to working memory (WM) capacity.
- Previous research on WM training transfer to mathematics yields inconclusive results.
Purpose of the Study:
- To investigate the effects of a 5-week working memory (WM) training program on arithmetic and non-trained WM tasks in children with WM deficits.
- To compare training-induced improvements against a control group of typically developing children.
Main Methods:
- 176 children with WM deficits underwent 5 weeks of WM training, with assessments at five intervals.
- A control group of 304 typically developing children performed the same tasks without training.
- Transfer tasks included complex WM, instruction following, and arithmetic tests.
Main Results:
- The training group showed significant improvements on all three transfer tests compared to the control group (p < 0.0001).
- Effect sizes were moderate to large for WM tasks and small for mathematics.
- Improvements correlated with training duration and gains on trained tasks.
Conclusions:
- WM training significantly improves non-trained WM tasks and, notably, arithmetic skills in children with WM deficits.
- Cognitive training holds potential for educational applications, but methods to enhance mathematical transfer require further investigation.
- Future research should focus on combining large sample sizes with high-quality data collection to detect subtle training effects.
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