University education and artificial intelligence for the prevention of skin cancer: a training proposal with a community and inclusive approach

Authors

DOI:

https://doi.org/10.31637/epsir-2025-2480

Keywords:

university education, artificial intelligence, skin cancer, mobile application, health prevention, educational inclusion, community participation, pedagogical innovation

Abstract

Introduction: The prevention of skin cancer, still scarcely treated in educational contexts, requires new pedagogical strategies that integrate technology, community awareness and social inclusion. Methodology: A mixed sequential explanatory design was used, with the participation of university students from health, computer science and education careers. In the initial phase, knowledge and perceptions about skin cancer were diagnosed through a structured questionnaire. Subsequently, a training experience based on project-based learning was developed, where students co-designed and programmed a mobile application assisted by artificial intelligence for the early detection of skin cancer, with an educational and preventive approach. The intervention included interdisciplinary workshops, training in AI ethics, and functional validation of the prototype in simulated scenarios and university extension activities. Results: The development of the mobile application allowed to articulate technical, clinical and social competencies in a context of active university education. Conclusions: The collaborative creation of an application with artificial intelligence in the university context not only favors meaningful learning and curricular integration, but also promotes education with social sense, technological ethics and community participation.

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Published

2025-09-30

How to Cite

Valle Medina, F. D., Valle Medina, G. I., Barba Chérrez, D. J., & Suárez-Carreño, F. (2025). University education and artificial intelligence for the prevention of skin cancer: a training proposal with a community and inclusive approach. European Public & Social Innovation Review, 10, 1–15. https://doi.org/10.31637/epsir-2025-2480

Issue

Section

MISCELLANEOUS