Análisis del marco de competencias para estudiantes en el uso de inteligencia artificial IA utilizando minería de datos con la herramienta python. Caso de la Universidad Técnica de Ambato.

Abstract

Abstract: Artificial intelligence is a technology that is being widely used by university students; however, its specific applications and its effects on students are not yet well understood. For this reason, this research sought to determine students' levels of proficiency and how they utilize artificial intelligence tools, employing data mining techniques. The study utilized surveys conducted among students at the Technical University of Ambato; the responses were then processed using data mining techniques to extract meaning from the collected data. Through cluster analysis, cross-tabulation of variables, and decision trees, relationships were identified between students' proficiency levels, their use of AI, and factors such as their income, the frequency of plagiarism, and their level of trust in the information provided by AI. Decision trees revealed which factors were most significant for students when choosing where to conduct academic inquiries. This research uncovered the relationships between the ways students use this technology and their levels of proficiency.