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Background. The study explores the potential of integrating artificial intelligence (AI) into developing and standardizing tests to measure motor creativity. This research is motivated by the need to enhance the precision and reliability of assessments in physical education through advanced technological tools. Objectives. The primary aim is to construct and validate AI-assisted tests specifically targeting the motor creativity of the arms and legs among specialized sports school athletes. Additionally, the study aims to establish normative data that can be used to standardize these tests for broader applications. Methods. A descriptive methodology involved 45 athletes for the initial test construction and 278 for the subsequent standardization phase. The tests, developed with AI support, were subjected to rigorous validation processes, including reliability and objectivity assessments. Results. The findings confirm that the AI-assisted motor creativity tests are reliable and valid. The tests meet the scientific criteria necessary for standardized assessments, demonstrating strong concurrent and discriminant validity. Conclusion. The study recommends adopting AI-assisted tests for evaluating motor creativity in sports settings. It also suggests regular reviews and updates to the tests to maintain their relevance and accuracy in different populations.
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Abdullah et al. (2025) studied this question.
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