https://orcid.org/0000-0003-2873-2185
Inteligencia Artificial Avanzada en Educación Superior: Fundamentos pedagógicos, arquitecturas inteligentes y desafíos éticos.
Autores/as
Palabras clave:
Hiperpersonalización del Aprendizaje,Sistemas Multiagente,Analítica del Aprendizaje Predictiva,Sesgo Algorítmico y Discriminación Automatizada,Integridad Académica AumentadaSinopsis
La incursión de la inteligencia artificial en la cotidianidad académica ha transformado, casi de manera silenciosa, los mecanismos mediante los cuales construimos y nos apropiamos del conocimiento. Lejos de limitarse a la adopción de nuevas aplicaciones informáticas, este fenómeno está rediseñando la arquitectura misma de las interacciones en el aula y las dinámicas de los resultados académicos. Nos encontramos ante lo que los autores de esta obra definen, con innegable agudeza, como un reto existencial: una coyuntura que exige a las instituciones universitarias replantear sus lógicas de enseñanza y sus cimientos éticos frente a la automatización.
El presente libro, Inteligencia Artificial Avanzada en Educación Superior: fundamentos pedagógicos, arquitecturas inteligentes y desafíos éticos, nace precisamente de la urgencia de evitar que la tecnología se implemente de forma desordenada o como un artificio vacío. Su premisa central es contundente: el impacto formativo de la tecnología no reside en la sofisticación de sus algoritmos, sino en la profundidad de la intencionalidad pedagógica que modele su adopción.
Para articular esta visión, el manuscrito despliega un recorrido metódico organizado en tres grandes bloques, permitiendo que la teoría transite de manera natural hacia la praxis. La primera sección establece el anclaje indispensable. A través de una revisión exhaustiva de marcos como el constructivismo, el conectivismo y el aprendizaje situado, los autores demuestran que las teorías educativas no son reliquias del pasado, sino la brújula necesaria para evitar que la máquina asuma el protagonismo y termine por erosionar la autonomía intelectual del estudiante.
Una vez cimentada la base didáctica, la segunda sección aterriza el debate en la realidad operativa. Aquí se diseccionan ecosistemas tecnológicos de alta complejidad: los sistemas multi-agente, la integración en entornos virtuales de aprendizaje y las innovadoras arquitecturas de Generación Aumentada por Recuperación (RAG). Estas páginas ilustran de manera magistral cómo la inteligencia artificial generativa ha dejado de arrojar respuestas mecánicas para sostener diálogos fundamentados en fuentes verificables. El resultado es un acompañamiento tutorial dinámico, capaz de adaptarse a las disonancias y ritmos propios de cada aprendiz.
El rigor de la obra alcanza su punto culminante en la tercera sección, donde se abordan sin eufemismos los dilemas éticos y las barreras institucionales. El texto disecciona tensiones contemporáneas críticas: la opacidad algorítmica, la perpetuación de sesgos históricos en los datos, el resguardo de la privacidad y el peligro latente de una dependencia digital que anule el esfuerzo cognitivo. En este punto emerge una de las contribuciones más lúcidas del libro, la cual sostiene que la alfabetización humana integral es el requisito innegociable para mediar con la tecnología, reconfigurando jamás suprimiendo el irremplazable rol del docente.
Más que ofrecer fórmulas rígidas o respuestas cerradas ante la incertidumbre tecnológica, el lector tiene en sus manos un andamiaje doctrinal sólido. Esta obra invita a la comunidad académica a comprender que la transición hacia una universidad mediada por la inteligencia artificial demanda un equilibrio inquebrantable entre el avance computacional y nuestro compromiso ético.
Capítulos
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CAPÍTULO I. FUNDAMENTOS PEDAGÓGICOS PARA LA INTEGRACIÓN DE SISTEMAS INTELIGENTES EN EDUCACIÓN SUPERIOR
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CAPÍTULO 2. USOS REALES DE LOS SISTEMAS INTELIGENTES
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CAPÍTULO 3. ÉTICA, DILEMAS Y LIMITACIONES DE LA INTELIGENCIA ARTIFICIAL EN LA EDUCACIÓN SUPERIOR
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junio 4, 2026
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Derechos de autor 2026 Juan Pablo López Goyez, Georgina Guadalupe Arcos Ponce, Alfonso González Briones (Autor/a)
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López Goyez, J. P. ., Arcos Ponce, G. G. ., & González Briones , A. . (Eds.). (2026). Inteligencia Artificial Avanzada en Educación Superior: Fundamentos pedagógicos, arquitecturas inteligentes y desafíos éticos. EDITORIAL ACACFESA . https://doi.org/10.70577/sw2hgb88/ACACFESA.EDITORIAL
