Evaluación de competencias digitales en docentes de educación superior: un enfoque multimodal en el marco de la inteligencia artificial

Abstract

Introduction: Self-concept is a fundamental component of psychological and educational development, playing a critical role in students’ academic performance and emotional wellbeing. Despite its importance, gaps remain in the validation of measurement instruments tailored to specific educational contexts. Methods: This study employed a quantitative, predictive, and correlational methodology with a non-experimental cross-sectional design. A total of 172 adolescents from grades 8, 9, and 10 in a school in Santo Domingo, Ecuador, were selected through non-probabilistic convenience sampling. The Self-Concept Questionnaire FORM-5 (AF-5), which evaluates academic/occupational, social, emotional, family, and physical self-concepts, was administered. Data analysis utilized SPSS version 25 and AMOS 24 software to ensure reliability and validity through structural equation modeling