Dos  algoritmos à responsabilidade: como estudantes de medicina autorregulam a aprendizagem na interseção entre direito e tecnologia

Omar Alobud

doi:10.22633/rpge.v29iesp4.20776

Autores/as

Omar Alobud King Saud bin Abdulaziz University for Health Sciences https://orcid.org/0009-0004-7541-5873

DOI:

https://doi.org/10.22633/rpge.v29iesp4.20776

Palabras clave:

Aprendizaje autorregulado, Educación médica, Inteligencia artificial, Salud digital, Identidad profesional

Resumen

Este estudio investiga cómo los estudiantes de medicina desarrollan estrategias de aprendizaje autorregulado al se envolver en las dimensiones jurídicas y computacionales de la medicina en un entorno educativo cada vez más digital. Trece estudiantes de pregrado participaron en entrevistas semiestructuradas, analizadas mediante el enfoque temático de Braun y Clarke. Surgieron tres temas: planificación algorítmica y previsión jurídica; depuración ética y razonamiento adaptativo; y cumplimiento reflexivo y responsabilidad profesional. Inicialmente, los estudiantes percibieron el material como técnico, pero progresivamente lo reinterpretaron como un proceso de autogobernanza ética. Aprendieron a planificar con previsión moral, verificar la validez de su razonamiento y evaluar decisiones desde la perspectiva de la responsabilidad. Los hallazgos amplían la teoría tradicional del aprendizaje autorregulado al demostrar cómo la regulación metacognitiva evoluciona hacia el razonamiento ético cuando los estudiantes interactúan con contenidos interdisciplinares. Integrar la autorregulación en los currículos de tecnología y derecho puede fomentar aprendices reflexivos y responsables, preparados para actuar con integridad en una era de práctica médica guiada por datos.

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Biografía del autor/a

Omar Alobud, King Saud bin Abdulaziz University for Health Sciences

Assistant Professor, King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center (KAIMRC). Ministry of National Guard - Health Affairs, Saudi Arabia.

Citas

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