Design and validation of an artificial intelligence-mediated evaluation model for Physical Education
DOI:
https://doi.org/10.47197/retos.v70.116530Keywords:
Academic performance, Artificial intelligence, Automated evaluation, Educational model, Physical education assessmentAbstract
Introduction and Objective. The development of technological tools for assessment in physical education has gained increasing interest, especially in higher education contexts that require accuracy and objectivity in measuring student performance. The objective of this research was to design, implement, and empirically validate an automated assessment model, mediated by artificial intelligence, applied to university students in the Physical Activity and Sports Pedagogy program at the University of Guayaquil.
Methodology. Validation was conducted using a quantitative design, through internal reliability analysis, comparison of means, and variance tests.
Results. The results showed significant improvements in academic performance, as well as high acceptance of the proposed model. The tool demonstrated reliability in measurement and reduced bias in the assessment process. The findings are consistent with previous research that proposes the integration of emerging technologies in physical education to promote more objective assessments adapted to student diversity.
Conclusions. It is concluded that the automated model represents a step forward in the modernization of assessment in physical education, and its implementation in other populations with adequate pedagogical support is recommended.
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