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A growth mixture modelling study of learning trajectories in an extended computerised working memory training programme developed for young children diagnosed with attention-deficit/hyperactivity disorder

A growth mixture modelling study of learning trajectories in an extended computerised working memory training programme developed for young children diagnosed with attention-deficit/hyperactivity disorder
A growth mixture modelling study of learning trajectories in an extended computerised working memory training programme developed for young children diagnosed with attention-deficit/hyperactivity disorder
This study explored (1) whether growth mixture modelling (GMM) could identify different trajectories of learning efficiency during a working memory (WM) training programme for young children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD), compared with a typically developing (TD) control group, and (2) if learning trajectories and outcomes were different for simple and complex training tasks. Children completed simple visuospatial short-term memory (VSSTM) and complex visuospatial WM (VSWM) tasks for 15 minutes a day, 5 days a week and for 8 weeks. Parent-reported executive functioning, and children’s WM and attention control, educational achievement, and IQ were measured prior to (T1), immediately following (T2) and three months after training (T3). GMM analysis showed that WM training was represented as one learning curve, and there was no difference for the trajectories of the ADHD and TD groups. The learning trajectory for the VSSTM tasks across groups was represented as one learning curve and for the VSWM tasks there were three learning curves. Learning for the VSSTM tasks and for most children in the VSWM tasks was characterized by an inverted-U shape, indicating that training was effective for up to 15 sessions, was stable and declined thereafter, highlighting an optimal training timeframe. For the VSWM tasks, the two remaining groups showed either a U-shaped or a high inverted U-shaped trajectory, with the latter group achieving the highest T1T2 change score (i.e., children showed a lower starting point and the most gain in terms of learning and post-training performance). There were no broader benefits of training at post-test or follow-up. Further research should explore who would benefit most from intensive cognitive training, as well as the potential benefits for mental health and well-being.
2504-284X
Orylska, Anna
4d4e26ee-7068-450c-82f1-f8faf82b7b1d
Hadwin, Julie
a364caf0-405a-42f3-a04c-4864817393ee
Kroemek, Aleksandra
4631d324-ce89-415b-b3b3-008892cb0e20
Sonuga-barke, Edmund J
bc80bf95-6cf9-4c76-a09d-eaaf0b717635
Orylska, Anna
4d4e26ee-7068-450c-82f1-f8faf82b7b1d
Hadwin, Julie
a364caf0-405a-42f3-a04c-4864817393ee
Kroemek, Aleksandra
4631d324-ce89-415b-b3b3-008892cb0e20
Sonuga-barke, Edmund J
bc80bf95-6cf9-4c76-a09d-eaaf0b717635

Orylska, Anna, Hadwin, Julie, Kroemek, Aleksandra and Sonuga-barke, Edmund J (2019) A growth mixture modelling study of learning trajectories in an extended computerised working memory training programme developed for young children diagnosed with attention-deficit/hyperactivity disorder. Frontiers in Education. (doi:10.3389/feduc.2019.00012).

Record type: Article

Abstract

This study explored (1) whether growth mixture modelling (GMM) could identify different trajectories of learning efficiency during a working memory (WM) training programme for young children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD), compared with a typically developing (TD) control group, and (2) if learning trajectories and outcomes were different for simple and complex training tasks. Children completed simple visuospatial short-term memory (VSSTM) and complex visuospatial WM (VSWM) tasks for 15 minutes a day, 5 days a week and for 8 weeks. Parent-reported executive functioning, and children’s WM and attention control, educational achievement, and IQ were measured prior to (T1), immediately following (T2) and three months after training (T3). GMM analysis showed that WM training was represented as one learning curve, and there was no difference for the trajectories of the ADHD and TD groups. The learning trajectory for the VSSTM tasks across groups was represented as one learning curve and for the VSWM tasks there were three learning curves. Learning for the VSSTM tasks and for most children in the VSWM tasks was characterized by an inverted-U shape, indicating that training was effective for up to 15 sessions, was stable and declined thereafter, highlighting an optimal training timeframe. For the VSWM tasks, the two remaining groups showed either a U-shaped or a high inverted U-shaped trajectory, with the latter group achieving the highest T1T2 change score (i.e., children showed a lower starting point and the most gain in terms of learning and post-training performance). There were no broader benefits of training at post-test or follow-up. Further research should explore who would benefit most from intensive cognitive training, as well as the potential benefits for mental health and well-being.

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Accepted/In Press date: 4 February 2019
e-pub ahead of print date: 22 February 2019
Published date: February 2019

Identifiers

Local EPrints ID: 428338
URI: http://eprints.soton.ac.uk/id/eprint/428338
ISSN: 2504-284X
PURE UUID: beeb808e-9b90-4d93-8985-405e0ed800af

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Date deposited: 21 Feb 2019 17:30
Last modified: 16 Mar 2024 07:35

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Contributors

Author: Anna Orylska
Author: Julie Hadwin
Author: Aleksandra Kroemek
Author: Edmund J Sonuga-barke

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