University education and artificial intelligence for the prevention of skin cancer: a training proposal with a community and inclusive approach
DOI:
https://doi.org/10.31637/epsir-2025-2480Keywords:
university education, artificial intelligence, skin cancer, mobile application, health prevention, educational inclusion, community participation, pedagogical innovationAbstract
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.
Downloads
References
Akinwalere, S. y Ivanov, V. (2023). Artificial Intelligence in Higher Education: Challenges and Opportunities’. Border Crossing, 12(1), 1-15. https://doi.org/10.14201/eks.29901 DOI: https://doi.org/10.33182/bc.v12i1.2015
Alós, L. G. y Catalán-Gregori, B. (2025). Aplicación de la metodología aprendizaje-servicio en el ámbito universitario. European Public y Social Innovation Review, 10, 1-18. https://doi.org/10.31637/epsir-2025-1243 DOI: https://doi.org/10.31637/epsir-2025-1243
Blayone, T. J., vanOostveen, R., Barber, W., DiGiuseppe, M. y Childs, E. (2017). Democratizing digital learning: theorizing the fully online learning community model. International Journal Education Technologic High Education, 14(13).
https://doi.org/10.1186/s41239-017-0051-4 DOI: https://doi.org/10.1186/s41239-017-0051-4
Brown, J. S. y Duguid, P. (1996). Universities in the digital age. Change: The Magazine of Higher Learning, 28(4), 10-19. https://doi.org/10.1080/00091383.1996.9937757 DOI: https://doi.org/10.1080/00091383.1996.9937757
Burgard, B. y Reichrath, J. (2020). Solarium use and risk for malignant melanoma: many open questions, not the time to close the debate. En J. Reichrath (Eds.), Sunlight, Vitamin D and Skin Cancer. Springer, Cham. https://doi.org/10.1007/978-3-030-46227-7_8 DOI: https://doi.org/10.1007/978-3-030-46227-7_8
Carrascal Domínguez, S., Ceballos Viro, I. y Mejías López, J. Ángel. (2019). Retos de la educación como agente y paciente de los cambios socioculturales. Revista Prisma Social, 25, 424-438. https://revistaprismasocial.es/article/view/2721
Coca, N. A. G., Rincón, E. H. H. y Ruiz, J. C. (2016). El impacto de la prevención primaria y secundaria en la disminución del cáncer de piel. Revista CES Salud Pública, 7(2), 4. https://lc.cx/L3W5zb
Comisión Internacional sobre los Futuros de la Educación. (2021). Reimagining our futures together: A new social contract for education. UNESCO. https://doi.org/10.54675/ASRB4722 DOI: https://doi.org/10.54675/ASRB4722
Esteva, A., Kuprel, B., Novoa, R. Ko, J., Swetter, S. M., Blau, H. M. y Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542, 115-118. https://doi.org/10.1038/nature21056 DOI: https://doi.org/10.1038/nature21056
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H. y Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. https://doi.org/10.1073/pnas.1319030111 DOI: https://doi.org/10.1073/pnas.1319030111
Hartley, K. y Andújar, A. (2022). Smartphones and learning: An extension of m-learning or a distinct area of inquiry. Education Sciences, 12(1), 50. https://doi.org/10.3390/educsci12010050 DOI: https://doi.org/10.3390/educsci12010050
Holmes, W., Bialik, M. y Fadel, C. (2019). Inteligencia artificial en la educación: promesas e implicaciones para la enseñanza y el aprendizaje. Centro para el Rediseño Curricular. http://udaeducation.com/wp-content/uploads/2019/05
Ilyas, S., Umar, M., Riaz, K. y Tariq, Z. (2025). Emotion recognition in AI-powered classrooms impacts on student engagement and learning outcomes. The Critical Review of Social Sciences Studies, 3(3), 86-103. https://thecrsss.com/index.php/Journal/article/view/666 DOI: https://doi.org/10.59075/x1wkpx78
Liu, Y., Jain, A., Eng, C., Way, D. H., Lee, K., Bui, P., Kanada, K., de Oliveira Marinho, G., Gallegos, J., Gabriele, S., Gupta, V., Singh, N., Natarajan, V., Hofmann-Wellenhof, R., Corrado, G. S., Peng, L. H., Webster, D. R., Ai, D., Huang, S. J., Liu, Y. y Coz, D. (2020). (2020). A deep learning system for differential diagnosis of skin diseases. Natural Medicine, 26(6), 900-908. https://doi.org/10.1038/s41591-020-0842-3 DOI: https://doi.org/10.1038/s41591-020-0842-3
Meehan, A., de Almeida, S., Bäckström, B., Borg-Axisa, G., Friant, N., Johannessen, Ø. L. y Roman, M. (2021). Context rules! Top-level education policies for newly arrived migrant students across six European countries. International Journal of Educational Research Open, 2, 100046. https://doi.org/10.1016/j.ijedro.2021.100046 DOI: https://doi.org/10.1016/j.ijedro.2021.100046
Mezirow, J. (2000). Learning as transformation: critical perspectives on a theory in progress. the jossey-bass higher and adult education series. Jossey-Bass Publishers.
Nagy, P. Mawasi, A., Eustice, K., Cook-Davis, A., Finn, E. y Wylie, R. (2022). Increasing learners self-efficacy beliefs and curiosity through a Frankenstein-themed transmedia storytelling experience. British Journal of Educational Technology, 53(3), 514-531. https://doi.org/10.1111/bjet.13202 DOI: https://doi.org/10.1111/bjet.13202
Organización Mundial de la Salud. (2021). Cáncer de piel: Prevención y detección temprana. https://www.who.int/es/news-room/fact-sheets/detail/cancer
Otten, M., van den Heuvel-Panhuizen, M., Veldhuis, M., Boom, J. y Heinze, A. (2020). Are physical experiences with the balance model beneficial for students’ algebraic reasoning? An evaluation of two learning environments for linear equations. Education Sciences, 10(6), 163. https://doi.org/10.3390/educsci10060163 DOI: https://doi.org/10.3390/educsci10060163
Ramos-Zaga, F. (2024). Transformación digital en las Instituciones de Educación Superior: Retos, estrategias y perspectivas para el siglo XXI. Punto Cero, 29(48), 42-52. https://doi.org/10.35319/puntocero.202448229
S. Légaré, M., Chagnon, A., Palijan, K. y Kojok, R. B. (2021). Sensitivity of clinician-assessed efficacy outcome measurement instruments in trials of topical therapies for atopic dermatitis: a systematic review and meta-analysis. JEADV, 36(1), 14-24. https://doi.org/10.1111/jdv.17743 DOI: https://doi.org/10.1111/jdv.17743
Salhab, R. y Daher, W. (2023) University students’ engagement in mobile learning. European Journal Investigation Health Psychology Education, 13, 202-216. https://doi.org/10.3390/ejihpe13010016 DOI: https://doi.org/10.3390/ejihpe13010016
Whiteman, D. C., Green, A. C. y Olsen, C. M. (2016). The growing burden of invasive melanoma: Projections of incidence rates and numbers of new cases in six susceptible populations through 2031. Journal of Investigative Dermatology, 136(6), 1161-1171. https://doi.org/10.1016/j.jid.2016.01.035 DOI: https://doi.org/10.1016/j.jid.2016.01.035
Winter, J., Cotton, D., Hopkinson, P. y Grant, V. (2015). The university as a site for transformation around sustainability. International Journal of Innovation and Sustainable Development, 9(3-4), 303-320. http://hdl.handle.net/10454/10223 DOI: https://doi.org/10.1504/IJISD.2015.071857
Zawacki-Richter, O., Marín, V. I., Bond, M. y Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators?. International Journal of Educational Technology in Higher Education, 16, 39. https://doi.org/10.1186/s41239-019-0171-0 DOI: https://doi.org/10.1186/s41239-019-0171-0
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Fernando David Valle Medina, Gustavo Israel Valle Medina, Diego Javier Barba Chérrez, Franyelit Suárez-Carreño

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
