Análisis del marco de competencias para estudiantes en el uso de inteligencia artificial (IA) utilizando minería de datos con la herramienta Python. Aplicada en la Universidad Central del Ecuador (UCE)

Abstract

Abstract: This thesis analyzes the artificial intelligence competency framework demonstrated by students in their use of AI tools, employing data mining techniques implemented in Python. A structured survey was administered to construct a global AI usage index and define competency dimensions based on the UNESCO framework. Using factor analysis, clustering, and regression models, distinct student profiles were identified based on competencies, usage levels, confidence in AI, and ethical practices. The results indicate that tool knowledge, AI competencies, and confidence in technology are significantly associated with higher usage and positive perceptions regarding the impact on academic performance. In contrast, transparency with instructors and ethical concerns show more moderate effects. The study provides empirical evidence to guide AI training processes and inform the design of institutional policies that promote the critical and responsible use of these tools in higher education.