Translation, adaptation, and validation of the AIAS-4 Scale of attitudes toward Artificial Intelligence in Sports Science
DOI:
https://doi.org/10.47197/retos.v79.117745Keywords:
Attitudes , teaching, surveys, psychometric assessment, artificial intelligenceAbstract
Introduction: The rapid advancement of artificial intelligence is reshaping the global educational landscape. Assessing attitudes toward artificial intelligence among sports science teachers is an essential step in guiding the pedagogical use of educational technology.
Objective: To translate, culturally adapt, and evaluate the psychometric properties of the Artificial Intelligence Attitude Scale (AIAS-4) among Colombian sports science teachers.
Methodology: Cross-sectional validation study developed in four phases. (1) Translation and back-translation, (2) cultural adaptation, (3) content validation with 15 experts, and (4) psychometric evaluation in a sample of (n=303) sports science teachers.
Results: Content validity was high with an Aiken V coefficient of 0.92 [95% CI 0.85-0.94]. Internal consistency was adequate with a Cronbach's α of 0.908 and a McDonald's ω of 0.913. Intraclass correlation coefficient 0.601. Tests (KMO) 0.827 with Bartlett's sphericity (Χ² = 860.056; gl = 6.000; p < 0.001). Goodness indices (NFI) = 0.987, fit index (RFI) = 0.962, fit index (IFI) = 0.990, index (TLI) = 0.968, and fit index (CFI) = 0.989 were confirmed in the confirmatory factor analysis.
Conclusion: The Spanish version of the AIAS-4 scale proved to be a valid and reliable instrument for assessing attitudes among Colombian sports science teachers. Its application allows for monitoring the pedagogical integration of artificial intelligence in higher education.
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