VIRTUAL MADRID FOCUS ON PEDAGOGY
Abstract
Higher education institutions face increasing challenges related to fragmented project management, low data integration, limited analytical culture, and insufficient technological adoption, which constrain evidence-based decision-making and institutional performance. Despite the growing potential of artificial intelligence (AI) and data science, their application in educational project management remains limited, especially in Latin American contexts. This study aims to develop an integrated model based on AI and data science to enhance organizational and project management in educational institutions, promoting efficiency, transparency, and sustainability. A mixed-methods approach was employed, combining a systematic literature review with empirical analysis through case studies and pilot implementations in three educational institutions. Quantitative data were used to assess technological maturity and validate model performance, while qualitative insights were obtained through interviews and expert judgment. The results indicate that AI-driven analytics significantly improve project planning, resource allocation, and risk prediction. Additionally, data science tools enable real-time monitoring and decision-making, reducing administrative inefficiencies and enhancing institutional responsiveness. The implementation of the model demonstrated improvements of up to 25% in project execution efficiency and a 30% reduction in decision-making time. The proposed model integrates predictive analytics, governance frameworks, and ethical guidelines, ensuring responsible and scalable implementation. In conclusion, the integration of AI and data science into educational project management fosters a transition toward data-driven organizations, improving institutional effectiveness and social impact. The study contributes a validated framework to similar contexts, supporting transformation in education while addressing ethical, organizational, and technological challenges.
Sergio Zabala-Vargas – Electrical Engineer. Master’s degree in E-learning. Ph.D. in Educational Technology. Researcher with 20 years of experience training trainers in the use of gamification and the integration of artificial intelligence in the classroom. Author of numerous articles, books, software programs, and industrial prototypes. Passionate about educational technology.
Maria Jaimes-Quintanilla – Industrial Engineer with a Master’s degree in Quality and Comprehensive Management. Interested in process evaluation and improvement. She has 11 years of experience as a professor and researcher
Nelson Torifio-Sanchez – Theologian, Master of Education, and Doctor of Theology. Expert in educational training, humanism in education, and social advocate. Eudist priest.