APPLICATION OF GENERATIVE AI IN CLASSROOM TO WORK ON THE SDGS THROUGH TRANSVERSAL SKILLS
A. Quintana-Gallardo, A. Costantino, A. Jiménez-Belenguer, S. Calvet-Sanz, H. Moreno-Ramón, S. Ibañez-Asensio, M. Cabedo-Fabrés, M. Ferrando-Bataller, I. Guillen-Guillamon
This work is presented in the framework of the educational innovation project promoted by the EICE GRIPAU for ethical and responsible use of generative Artificial Intelligence (AI). The emergence of AI in society requires a thorough understanding of its ethical and social implications. Through the multidisciplinary approach applied, this work integrates AI awareness, through developing transversal competences that allow students to internalize the challenges and opportunities inherent to AI.
The methodology integrates AI application tasks related to the development of subject-specific SDG targets. These tasks are specific to each subject involved. The Bachelor’s Degrees involved span three Schools, ETSIAMN, ETSA, and ESTSIT. This multidisciplinary approach allows for exploring methodological synergies between disciplines for the integration of the Sustainable Development Goals (SDGs) in each Degree. The tasks invite reflection on AI in the university context and identify possible biases in their work. The tasks include case studies, case studies, and discussions to strengthen the understanding and applicability of these concepts to society.
Keywords: Higher education, IA.