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AI-Powered Assessment of Motor Development: Using Platforms Like KineticAI to Analyze Fundamental Movement Skills in
Jing Xuan Guo1, Gao Hua Zhang2, You Ming Zhang1
1School of Physical Education and Health Science, Mudanjiang Normal University, Mudanjiang, China.
Perceptual and Motor Skills
|July 2, 2025
Summary
AI-powered motor skill assessments demonstrate high accuracy and dependability, closely matching human evaluations. This technology offers a scalable and objective alternative for evaluating children's motor development in educational and clinical settings.
Area of Science:
- Pediatric motor development
- Artificial intelligence in education
- Psychometrics and assessment validation
Background:
- Traditional motor skill assessments can be subjective and time-consuming.
- There is a growing need for objective and scalable tools to evaluate motor proficiency in children.
- KineticAI offers a novel AI-based approach to motor skill evaluation.
Purpose of the Study:
- To evaluate the precision, dependability, and relevance of AI-based motor skill assessments (KineticAI) compared to human evaluations.
- To validate KineticAI's psychometric properties using COSMIN criteria.
- To compare AI-generated scores with human ratings using the Test of Gross Motor Development, 3rd Edition (TGMD-3) as a standard.
Main Methods:
- KineticAI assessed motor skills of 200 7-8-year-old students based on movement speed, accuracy, and smoothness.
- Psychometric properties of KineticAI were evaluated using COSMIN criteria.
- Statistical analyses, including Mean Absolute Error (MAE) and Intraclass Correlation Coefficients (ICC), were used to compare AI and human scores.
Main Results:
- KineticAI demonstrated high accuracy and dependability, with an ICC of 0.94, showing strong consistency with human judgments.
- The AI system exhibited negligible MAE across motor skills, including running, jumping, hopping, and balancing.
- Significant disparities in motor proficiency were observed based on gender and school location, with urban boys scoring highest and suburban girls lowest.
Conclusions:
- KineticAI provides a scalable, objective, and efficient alternative to traditional motor skill assessments.
- The findings support the use of AI-based tools for motor skill evaluation in schools, clinics, and sports programs.
- Addressing developmental gaps through equitable access to physical activity programs is crucial.
