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Shakir Mahmood Abdullah *1 
, Laith Mohamed Abdul_Razzaq2 , Ahmed Hisham Ahmed3 , Khaleel Setar Mohammed2 , Mohannad Salman Dawood4
, Laith Mohamed Abdul_Razzaq2 , Ahmed Hisham Ahmed3 , Khaleel Setar Mohammed2 , Mohannad Salman Dawood4
1- College of Physical Education and Sports Sciences, University of Anbar, Anbar, Iraq. , alshakir_1972@uoanbar.edu.iq
2- College of Physical Education and Sports Sciences, University of Baghdad, Baghdad, Iraq.
3- College of Basic Education, University of Mosul, Mosul, Iraq.
4- Educational Rusafa Directorate II, Ministry of Education, Baghdad, Iraq.
2- College of Physical Education and Sports Sciences, University of Baghdad, Baghdad, Iraq.
3- College of Basic Education, University of Mosul, Mosul, Iraq.
4- Educational Rusafa Directorate II, Ministry of Education, Baghdad, Iraq.
Abstract: (268 Views)
Background. The study explores the potential of integrating artificial intelligence (AI) into developing and standardizing tests designed 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 objective 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 was employed, involving 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 both 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.
Objectives. The primary objective 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 was employed, involving 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 both 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.
Keywords: Motor Creativity, Artificial Intelligence, Test Standardization, Physical Education, Sports Assessment.
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APPLICABLE REMARKS
APPLICABLE REMARKS
- Integration of AI in Sports Research: The successful use of AI in developing and standardizing the motor creativity test underscores the potential for broader AI integration in sports science research. Researchers and institutions should consider incorporating AI tools to enhance efficiency and accuracy in various aspects of sports studies.
- Continuous Validation and Updating: While the developed test shows strong validity and reliability, it is crucial to establish a protocol for regular reassessment, perhaps every 3-5 years. This ensures that the test remains relevant and accurate as the field evolves.
- Customization for Different Sports: The principles and methodologies used in this study could be adapted to create specialized motor creativity tests for different sports or athletic disciplines, allowing for more targeted assessment and training.
- Practical Implementation in Training Programs: Coaches and physical education instructors should consider incorporating these AI-assisted motor creativity tests into their regular assessment routines. This can provide valuable insights into athletes' creative motor abilities and help tailor training programs accordingly.
- Interdisciplinary Collaboration: The success of this AI-assisted approach suggests potential benefits in fostering collaborations between sports scientists, AI specialists, and data analysts to further innovate in sports research and assessment methodologies.
- Ethical Considerations: As AI becomes more prevalent in sports assessment, it is important to establish clear guidelines for its use, ensuring fairness, transparency, and privacy in applying these technologies.
- Educational Applications: The findings of this study could inform curriculum development in physical education programs, emphasizing the importance of motor creativity alongside traditional physical skills.
Type of Study: Original Article |
Subject:
Sport Biomechanics and its related branches
Received: 2024/09/4 | Accepted: 2025/01/23
Received: 2024/09/4 | Accepted: 2025/01/23
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