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Published on: September 18, 2017
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Virtual Reality Improves Predictive Internal Modeling and Object Control Skills in DCD Children
Hasan Sepehri Bonab1, Soghra Ebrahimi Sani2
1Department of Physical Education and Sport Science, Payame Noor University (PNU), Tehran, Iran.
Journal of Motor Behavior
|August 7, 2025
Summary
Virtual reality (VR) training improved internal modeling and object control skills in children with developmental coordination disorder (DCD). While VR enhanced skill acquisition and transfer, challenges in internal model updating persisted.
Area of Science:
- Motor Control and Learning
- Developmental Psychology
- Rehabilitation Technology
Background:
- Children with developmental coordination disorder (DCD) often face motor control and coordination challenges linked to internal modeling deficits.
- Virtual reality (VR) offers a promising avenue for improving motor skill acquisition and learning.
Purpose of the Study:
- To investigate the impact of VR-based interventions on internal modeling and object control skills in children with DCD.
- To assess the effectiveness of VR in enhancing predictive internal modeling and its transfer to object control tasks.
Main Methods:
- A quasi-experimental design with pretest, post-test, and follow-up was used.
- Forty female students (7-10 years) with DCD were randomly assigned to a VR training group or a control group.
- Predictive internal modeling was assessed via continuous relative phase (CRP) in a visuomotor task, and object control skills were measured using the TGMD-2.
Main Results:
- VR training significantly improved CRP acquisition (p=0.037).
- The VR group showed superior transfer of skills to object control tasks compared to controls (p<0.001).
- Improvements suggest VR facilitated internal model development and application, though compensatory strategies persisted.
Conclusions:
- VR-based interventions can effectively enhance internal modeling and object control skills in children with DCD.
- VR facilitates the development and generalization of predictive internal models for motor tasks.
- Persistent challenges in internal model updating highlight the need for continued therapeutic strategies.

