Spectra Human-Centered Learning Framework: A Socio-Technical Architecture for AI-Supported Higher Education

Mario Guadalupe López Ayala

doi:10.32351/rca.v11.441

Autores/as

Mario Guadalupe López Ayala Universidad Autónoma de Occidente https://orcid.org/0000-0001-5377-6257

DOI:

https://doi.org/10.32351/rca.v11.441

Política de Crossmark DOI: https://doi.org/10.32351/politica-crossmark

Palabras clave:

aprendizaje centrado en el ser humano, educación superior, gobernanza de IA, inteligencia artificial, sistemas sociotécnicos

Resumen

La inteligencia artificial generativa (IAGen) permite elaborar productos universitarios convincentes, aunque su calidad no permite atribuir automáticamente al estudiante las decisiones que contienen. Este artículo propone una elaboración del Spectra Human-Centered Learning Framework orientada a entornos con IA y reconoce expresamente la formulación anterior: tres condiciones fundacionales, seis fases pedagógicas y cinco proposiciones que aquí se conservan. Mediante síntesis conceptual crítica de bibliografía seleccionada intencionalmente, se distinguen las funciones del ciclo formativo y se examina cómo pueden intervenir la asistencia de IA, la responsabilidad intelectual y las condiciones institucionales. El resultado es una arquitectura teórica que relaciona insumos del mundo real, encuadre conceptual, participación, producción, evaluación y transferencia; no es una intervención implementada. Las proposiciones heredadas se mantienen literalmente y se acompañan de interpretaciones y posibles criterios de refutación para investigaciones futuras. La ampliación, la dependencia y la sustitución designan relaciones provisionales entre personas y sistemas a escala de tarea, no perfiles validados del alumnado. El contraste selectivo con otras propuestas delimita el aporte sin reclamar eficacia o prioridad general. No se recogieron datos de estudiantes ni se realizó una revisión sistemática. Queda por examinar si la organización propuesta favorece razonamiento independiente, accesibilidad y transferencia en contextos distintos.

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Biografía del autor/a

Mario Guadalupe López Ayala, Universidad Autónoma de Occidente

Profesor universitario e investigador mexicano. Doctor en Innovación y Administración Educativa y en Psicopedagogía, desarrolla actividades académicas en la Universidad Autónoma de Occidente y la Universidad Autónoma de Sinaloa. Su trabajo integra la inteligencia artificial centrada en el ser humano, los sistemas sociotécnicos, la psicología aplicada, la innovación educativa y la gobernanza de la inteligencia artificial. Sus investigaciones examinan las relaciones entre tecnología, cognición, comportamiento humano y transformación institucional, con especial atención a sus implicaciones sociales y éticas. Es autor y coautor de publicaciones científicas, dirige el Human-Centered AI & Socio-Technical Systems Lab y desarrolla iniciativas de investigación y comunicación científica a través de Phoenix24, orientadas a la generación y transferencia social del conocimiento.

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