Análisis del uso de tecnología de inteligencia artificial en las actividades académicas de las instituciones universitarias del Ecuador. Caso de estudio: Pontificia Uniersidad Católica de Santo Domingo (PUSE-SD)

Abstract

Abstract: This thesis analyzes the use of artificial intelligence technologies in the academic activities of higher education institutions in Ecuador, with a case study at the Pontificia Universidad Católica de Santo Domingo. By applying the CRISP-DM methodology and data mining techniques, such as cluster analysis, principal component analysis (PCA), and multiple linear regression analysis, the study explores students behavioral patterns regarding the use of AI tools, their impact on academic success, technological addiction, and engagement with virtual educational platforms. The results reveal distinct student groups based on their interaction with technology: one group with high adoption of AI and a positive perception of its impact on learning, and another with limited use, primarily focused on entertainment. It was found that academic workload is the primary predictor of academic success, while trust in tools like ChatGPT drives their use in academic tasks. However, intensive use of mobile devices and social media is associated with higher levels of technological addiction and reduced interaction with educational platforms. This study underscores the importance of training students and faculty in the ethical and strategic use of AI, promoting a balance between technological innovation and academic responsibility to optimize academic performance and student well-being.