An Experience of Using Generative Artificial Intelligence as an Educational Tool in the Study of Composite Indicators for Public Policies
Autores: Valiño Castro, Aurelia (Universidad Complutense de Madrid.  Instituto Complutense de Estudios Internacionales (ICEI). Finca Mas Ferré -Edificio A- Ctra. De Humera, 96 E, 28223 Pozuelo de Alarcón, Madrid, España.)
In an educational context increasingly shaped by technology, the integration of Artificial Intelligence (AI) tools offers new opportunities to enrich learning. Within the Economics of Public Spending course - taught in the fourth year of the Bachelor’s Degree in Economics and the fifth year of the Double Degree in Economics and Public Administration- a practical exercise was designed to enable students to explore and analyze composite indicators of public policies. The main objectives were to foster autonomous learning through the use of AI, assess critical thinking and collaborative skills in a group setting, and support the development of teaching competencies in this evolving field. This article presents the experience, its outcomes, and the lessons learned.