scholarly journals Improving fluid intelligence with training on working memory: a meta-analysis

2014 ◽  
Vol 22 (2) ◽  
pp. 366-377 ◽  
Author(s):  
Jacky Au ◽  
Ellen Sheehan ◽  
Nancy Tsai ◽  
Greg J. Duncan ◽  
Martin Buschkuehl ◽  
...  
2019 ◽  
Author(s):  
Giovanni Sala ◽  
Fernand Gobet

Working memory (WM) training in typically developing (TD) children aims to enhance not only performance in memory tasks but also other domain-general cognitive skills such as fluid intelligence. These benefits are then believed to positively affect academic achievement. Despite the numerous studies carried out, researchers still disagree over the real benefits of WM training. This meta-analysis (m = 41, k = 393, N = 2,375) intended to resolve the discrepancies by focusing on the potential sources of within-study and between-study true heterogeneity. Small to medium effects were observed in memory tasks (i.e., near transfer). The size of these effects was proportional to the similarity between the training task and the outcome measure. By contrast, far-transfer measures of cognitive ability (e.g., intelligence) and academic achievement (mathematics and language ability) were essentially unaffected by the training programs, especially when the studies implemented active controls (g ̅ = 0.001, SE = 0.055, p = .982, τ2 = 0.000). Crucially, all the models exhibited a null or low amount of true heterogeneity, wholly explained by the type of controls (non-active vs. active) and statistical artifacts, in contrast to the claim that this field has produced mixed results. Since the empirical evidence shows an absence of generalized effects and true heterogeneity, we conclude that there is no reason to keep investing resources in WM training research with TD children.


Author(s):  
Jacky Au ◽  
Ellen Sheehan ◽  
Nancy Tsai ◽  
Greg J. Duncan ◽  
Martin Buschkuehl ◽  
...  

2018 ◽  
Author(s):  
Anna Soveri ◽  
Jan Antfolk ◽  
Linda C. Karlsson ◽  
Benny Salo ◽  
Matti Laine

The efficacy of working memory (WM) training has been a controversial and hotly debated issue during the last years, and despite a large number of training studies and several meta-analyses, the matter has not yet been solved. We conducted a multi-level meta-analysis on the cognitive transfer effects in healthy adults who have been administered WM updating training with n-back tasks, the most common experimental WM training paradigm. Thanks to this methodological approach that has not been employed in previous meta-analyses in this field, we were able to include effect sizes from all relevant tasks used in the original studies. Altogether 203 effect sizes were derived from 33 published randomized controlled trials. In contrast to earlier meta-analyses, we separated task-specific transfer (here untrained n-back tasks) from other WM transfer tasks. Two additional cognitive domains of transfer that we analyzed consisted of fluid intelligence (Gf) and cognitive control tasks. A medium-sized transfer effect was observed to untrained n-back tasks. For other WM tasks, Gf, and cognitive control, the effect sizes were of similar size and very small. Moderator analyses showed no effects of age, training dose, training type (single vs. dual), or WM and Gf transfer task contents (verbal vs. visuospatial). We conclude that a substantial part of transfer following WM updating training with n-back is task-specific and discuss the implications of the results to WM training research.


2020 ◽  
Author(s):  
Jose A. Rodas ◽  
Ciara Greene

Meta-analyses have found that working memory (WM) can be improved with WM training programmes, however some authors have suggested that these improvements are mostly driven by biases in the measurement of WM, more specifically, by using similar tasks for assessment and training. In the present meta-analysis, we investigate if WM can be improved in healthy adults. We considered any type of cognitive training (not only WM programmes), performed a risk of bias assessment of the included studies, and the WM assessment score only included measures from tasks different to those used for training. Data from 32 studies reporting 33 independent comparisons were analysed (total N = 2560). Our results indicate that training led to small improvements in WM (g = 0.13). Larger effects were observed when the analysis was performed with scores obtained from tasks similar to those used for training (g = 0.33), suggesting strong practice effects. Fluid intelligence did not improve as a result of training and a meta-regression indicated that improvements in WM were not related to changes in fluid intelligence. Contrary to expectations, a set of meta-regressions indicated that characteristics of the training programme such as dosage and type of training do not have an impact in the effectiveness of training. The risk of bias assessment revealed some concerns in the randomisation process and possible selective reporting among studies. Our results suggest that it is possible to improve WM with cognitive training, however these effects are not large enough to generalise to complex skills such as fluid intelligence.


2010 ◽  
Vol 41 (01) ◽  
Author(s):  
C Rottschy ◽  
S Eickhoff ◽  
I Dogan ◽  
A Laird ◽  
P Fox ◽  
...  

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