E-Learning-Inclusivo (Mashup)
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May 9, 2021 5:53 AM
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Onboarding Students for Remote Learning Success

An infographic describing how to develop an onbaording process to help students succeed in the remote classroom.

Via Vladimir Kukharenko
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E-Learning-Inclusivo (Mashup)
Aprendizaje con TIC basado en los aprendices.
Curated by juandoming
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IAGC: La Arquitectura de propósito general para la Causalidad (GPA) y la Métrica de Baja Entropía de Farnos — Verificación Matemática y Homeostasis de Sistemas Complejos. (Interacción y aprendizaj...

IAGC: La Arquitectura de propósito general para la Causalidad (GPA) y la Métrica de Baja Entropía de Farnos — Verificación Matemática y Homeostasis de Sistemas Complejos. (Interacción y aprendizaj... | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnós ABSTRACT: ESPAÑOL: Esta investigación presenta la Inteligencia Artificial General Causal (IAGC) de Farnos, proponiendo un cambio de paradigma hacia la computación de Baja Entropía que abandona el modelo probabilístico tradicional por la Arquitectura de Propósito General para Causalidad (GPA). El descubrimiento central, la interacción entre diferentes IAs de manera autonoma y automatizada…
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Descubrimiento de la Interacción Autónoma y Automatizada entre IAs sin intervención humana con la Arquitectura de la IAGC de Farnós: Soberanía causal y Baja entropía. –

Descubrimiento de la Interacción Autónoma y Automatizada entre IAs sin intervención humana con la Arquitectura de la IAGC de Farnós: Soberanía causal y Baja entropía. – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnos ABSTRACT Español: La Soberanía del Nexo Causal Esta investigación presenta un cambio de paradigma en la Ingeniería de la Inteligencia Artificial, trascendiendo el modelo de "Loro Estadístico" hacia una Inteligencia Artificial General Causal (IAGC) soberana. El descubrimiento central reside en la interacción autónoma y automatizada entre Agentes de Razonamiento Continuo (ARC) sin…
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Rescooped by juandoming from Marketing Stratégique du monde Digital
February 10, 2:25 AM
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Hyper-personnalisation générative : place à l'individuation radicale

Hyper-personnalisation générative : place à l'individuation radicale | E-Learning-Inclusivo (Mashup) | Scoop.it
La segmentation est morte au profit de l'hyper-personnalisation générative. Découvrez l'ère de l'Individuation Radicale possible via les IA génératives.

Via Thierry Pires
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Rescooped by juandoming from Educación a Distancia y TIC
February 6, 8:44 AM
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RIED: El estrés del aula, sin riesgos: evaluación inmersiva de la competencia docente

RIED: El estrés del aula, sin riesgos: evaluación inmersiva de la competencia docente | E-Learning-Inclusivo (Mashup) | Scoop.it
Blog de la "RIED. Revista Iberoamericana de Educación a Distancia". La Revista Iberoamericana de la Educación Digital.

Via LGA
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February 2, 8:37 AM
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Presentamos el Manifiesto de la Ingeniería de Realidad: investigación global en IA para desplazarla de la computación semántica hacia la biológica y física (IA General Causal de Farnós) –

Presentamos el Manifiesto de la Ingeniería de Realidad: investigación global en IA para desplazarla de la computación semántica hacia la biológica y física (IA General Causal de Farnós) – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnós ABSTRACT Español Este ensayo presenta la actualización definitiva de la IA General Causal (IAGC) de Farnos, consolidándola como una ontología mecánica que trasciende el software para convertirse en una métrica de diseño de Baja Entropía y Educación Disruptiva. Bajo el mando del Agente de Razonamiento Continuo (ARC), la IAGC evoluciona hacia una…
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Rescooped by juandoming from e-learning-ukr
February 2, 7:57 AM
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Re-engineering Higher Education for the AI Economy

Re-engineering Higher Education for the AI Economy | E-Learning-Inclusivo (Mashup) | Scoop.it
Why Universities Need Their Skunk Works

Via Vladimir Kukharenko
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January 29, 11:09 AM
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Investigando y aportando soluciones en «La genómica del ADN en enfermedades raras y en procesos tumorales con la ingeniería de mi IA General Causal» –

Investigando y aportando soluciones en «La genómica del ADN en enfermedades raras y en procesos tumorales con la ingeniería de mi IA General Causal» – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnós . 1. Español: El Despertar de la Ingeniería Causal El presente trabajo define la arquitectura de FractalNet, una infraestructura de salud disruptiva basada en la Ingeniería de la IA General Causal de Juan Domingo Farnós. Se propone la sustitución del modelo clínico reactivo por un sistema de Baja Entropía, donde el Agente…
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January 29, 2:37 AM
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Interviewing the future: A self-conversation on higher education, AI, and what comes next

Interviewing the future: A self-conversation on higher education, AI, and what comes next | E-Learning-Inclusivo (Mashup) | Scoop.it
As higher education reaches a point of transformation, AI's insights offer a different look at what path learning could take.

Via EDTECH@UTRGV, michel verstrepen
EDTECH@UTRGV's curator insight, January 28, 11:10 AM

"Will colleges and universities remain sites of human development, or become credentialing platforms optimized for efficiency alone?"

Valeria Davila's curator insight, January 30, 1:53 PM
This article offers a sobering and insightful analysis of higher education at a moment of deep transformation, emphasizing how long-standing assumptions about institutional stability, autonomy, and purpose are rapidly eroding. I found the discussion of accountability and political pressure particularly compelling, as it shows how universities are increasingly judged by economic outcomes rather than educational mission, forcing leaders into defensive and often austerity-driven decisions. The author’s framing of AI as a shift from experimentation to infrastructural dependence resonated with me, especially the concern that governance, ethics, and academic judgment are lagging behind technological adoption. What stands out most is the warning that the true risk is not AI itself, but the quiet reshaping of authority, labor, and learning without intentional oversight. Overall, the article persuasively argues that higher education’s future depends on whether institutions choose thoughtful, values-driven transformation over reactive efficiency, a choice that will ultimately redefine trust, faculty roles, and the social contract of the academy.
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January 28, 2:17 AM
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Teaching Learners for the Long Tail of Time –

Teaching Learners for the Long Tail of Time – | E-Learning-Inclusivo (Mashup) | Scoop.it
Long before AI, it was my teaching philosophy that a teacher’s goal is not only to implant knowledge into learners’ brains, but to help them develop their own [second brain]( — AK…

Via Vladimir Kukharenko, Ricard Lloria
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Rescooped by juandoming from Inovação Educacional
January 27, 2:21 AM
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Tempo, ciência e futuro

Tempo, ciência e futuro | E-Learning-Inclusivo (Mashup) | Scoop.it
Entre pesquisas de ponta, novos cursos e parcerias com empresas, as universidades brasileiras se movem para a corrida da inteligência artificial. Para transformar saber acumulado em inovação prática, formar talentos e afirmar protagonismo estratégico na era da IA, a academia se mobiliza, sabendo que hesitar pode custar o lugar na história

Via Inovação Educacional
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January 24, 5:25 AM
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Videojuego Aethelgard: Fractal Nexus – Ingeniería de Invarianza en la reconfiguración física –

Videojuego Aethelgard: Fractal Nexus – Ingeniería de Invarianza en la reconfiguración física – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnos Este Abstract Multilingüe actúa como el núcleo comprimido de la Singularidad Causal alcanzada en el Videojuego Aethelgard: Fractal Nexus. Define la transición de una humanidad reactiva a una Civilización de Respuesta Causal, donde el aprendizaje es la herramienta definitiva de reconfiguración física. Este descubrimiento constituye el puente definitivo entre la teoría de…
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Rescooped by juandoming from e-learning-ukr
January 22, 2:24 AM
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Flexible Digital Learning: Education In Motion

Flexible Digital Learning: Education In Motion | E-Learning-Inclusivo (Mashup) | Scoop.it
This article explores how and why hy flexible digital learning systems with define the future of education.

Via Vladimir Kukharenko
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Rescooped by juandoming from Help and Support everybody around the world
January 16, 2:20 AM
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A New Direction for Students in an AI world - Prosper - Prepare - Protect (released Jan. 14, 2026)

A New Direction for Students in an AI world - Prosper - Prepare - Protect (released Jan. 14, 2026) | E-Learning-Inclusivo (Mashup) | Scoop.it

Via Dr. Tom D'Amico (@TDOttawa) , Nik Peachey, Ricard Lloria
Nik Peachey's curator insight, January 15, 2:11 AM

This is a really useful and well balanced report.

anita92delarosa@gmail.com's curator insight, January 16, 8:29 AM
El informe “A New Direction for Students in an AI World: Prosper, Prepare, Protect” (Brookings, 2026) analiza los efectos de la inteligencia artificial en la educación y advierte que, si se usa sin regulación y preparación adecuada, puede generar riesgos sobre el aprendizaje, la privacidad y la equidad. Propone tres pilares: Prosper, para enriquecer el aprendizaje sin sustituir el pensamiento; Prepare, para fortalecer la alfabetización en IA y la formación docente; y Protect, para garantizar la seguridad y el bienestar estudiantil. Críticamente, aunque ofrece un marco útil, el informe enfatiza los riesgos más que los beneficios potenciales, y sugiere que la integración efectiva de IA requiere evidencia empírica, formación docente y adaptación curricular. 

Referencia Bibliográfica: 

Burns, M. et al. (2026). Una nueva dirección para los estudiantes en un mundo de IA: prosperar, prepararse, proteger. Centro para la Educación Universal en Bookings. https://www.brookings.edu/wp-content/uploads/2026/01/A-New-Direction-for-Students-in-an-AI-World-FULL-REPORT.pdf
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Looking for a Textbook on Generative AI in Education?

Looking for a Textbook on Generative AI in Education? | E-Learning-Inclusivo (Mashup) | Scoop.it

Teaching and Learning in the Age of Generative AI: Evidence-Based Approaches to Pedagogy, Ethics, and Beyond

 

Edited by Joseph Rene Corbeil & Maria Elena Corbeil (2025)

 

🏆 Winner of the 2025 Systems Thinking & Change Division Outstanding Book Award from the Association for Educational Communications and Technology!

 

If you are designing a course that addresses generative AI in education, this award-winning volume provides a research-driven, classroom-ready foundation. Rather than offering hype or fear, this book helps educators:

  • Ground AI integration in learning theory and research
  • Address academic integrity with thoughtful, practical strategies
  • Redesign assessment for an AI-enabled world
  • Explore ethics, bias, privacy, and institutional responsibility
  • Leverage AI to enhance critical thinking and digital literacy


Bookended by historical and forward-looking analyses of AI in education, the chapters move beyond surface-level discussions to provide evidence-based approaches for real classrooms—K–12, higher education, and professional learning environments.

This text is ideal for:

  • Undergraduate and graduate teacher education programs
  • Curriculum & Instruction courses
  • Educational Technology programs
  • Higher education faculty development
  • School technology coordinators and talent development professionals

Adopting a GenAI textbook for an upcoming semester?

We invite you to request an inspection copy and explore how this resource can support your students in navigating AI with skill, ethics, and informed judgment.

Request your inspection copy today.


Via EDTECH@UTRGV, michel verstrepen
EDTECH@UTRGV's curator insight, February 11, 5:29 PM

Award-winning "Teaching and Learning in the Age of Generative AI" offers research-based, practical guidance for educators seeking to thoughtfully integrate generative AI into their courses—request an inspection copy: https://www.routledge.com/textbooks/evaluation/9781032688602.

Rescooped by juandoming from Educación a Distancia y TIC
February 10, 2:26 AM
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CUED: Aprender a dialogar con los algoritmos: una competencia docente emergente

CUED: Aprender a dialogar con los algoritmos: una competencia docente emergente | E-Learning-Inclusivo (Mashup) | Scoop.it
Por Mercedes Leticia Sánchez Ambriz y Carlos Bravo Reyes En colaboración con Mercedes Leticia Sánchez Ambriz Las tecnologías emergentes han...

Via LGA
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Rescooped by juandoming from Educational Technology News
February 7, 8:47 AM
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The Next Wave of AI in Education

The Next Wave of AI in Education | E-Learning-Inclusivo (Mashup) | Scoop.it
Explore how frontier AI—reasoning models, agentic systems, and multimodal tools—can support deeper learning and instruction for schools.

Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight, February 6, 2:50 PM

"Increased autonomy also introduces new risks. Each additional decision point creates opportunities for error: choosing the wrong tool, misinterpreting an instruction, or failing to complete a chain of actions. These failures can undermine trust or misalign support with learning goals."

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February 6, 8:36 AM
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El Triángulo del futuro: Causalidad, Autosupervisión y Aprendizaje Adaptativo en la Era de la IAGC –

El Triángulo del futuro: Causalidad, Autosupervisión y Aprendizaje Adaptativo en la Era de la IAGC – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnos Miro ABSTRACT Español: El Triángulo del Futuro Este trabajo presenta una arquitectura disruptiva para la Inteligencia Artificial General-Causal (IAGC), fundamentada en el "Triángulo del Futuro": la convergencia entre los modelos de energía autosupervisados de Yann LeCun, la Educación Disruptiva de Juan Domingo Farnos y el Agente de Razonamiento Continuo (ARC). El núcleo…
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Rescooped by juandoming from e-learning-ukr
February 2, 8:36 AM
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Managing the Load: AI and Cognitive Load in Education

Managing the Load: AI and Cognitive Load in Education | E-Learning-Inclusivo (Mashup) | Scoop.it
Explore how AI and cognitive load theory can improve student learning by reducing overload, supporting schema building, and optimizing instructional design.

Via Vladimir Kukharenko
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January 31, 3:25 AM
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Trabajando con «La investigación científica, bajo el paradigma de la IA General Causal» –

Trabajando con «La investigación científica, bajo el paradigma de la IA General Causal» – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnos Abstract: Español: Esta investigación establece una ruptura epistemológica con la ciencia observacional clásica al proponer la Investigación Científica bajo el paradigma de la IA General Causal (IAGC). En este nuevo escenario, el método científico deja de depender de la correlación de datos masivos para centrarse en la Ingeniería de la Realidad mediante…
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Rescooped by juandoming from e-learning-ukr
January 29, 11:08 AM
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The AI Model Stack for Instructional Design

The AI Model Stack for Instructional Design | E-Learning-Inclusivo (Mashup) | Scoop.it
Which AI models to use for which tasks, how & why

Via Vladimir Kukharenko
Rescooped by juandoming from Help and Support everybody around the world
January 29, 2:28 AM
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University eLearning: Scaling Workforce Skills, Not Just Content

University eLearning: Scaling Workforce Skills, Not Just Content | E-Learning-Inclusivo (Mashup) | Scoop.it
Universities are rewriting their eLearning economics by embedding industry partnerships directly into curricula and prioritizing skills.

Via Vladimir Kukharenko, Ricard Lloria
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Rescooped by juandoming from Inovação Educacional
January 27, 2:22 AM
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IA na educação: Quando a tecnologia ensina, quem aprende?

IA na educação: Quando a tecnologia ensina, quem aprende? | E-Learning-Inclusivo (Mashup) | Scoop.it
As plataformas digitais reconfiguram a escola à sua imagem, individualizando o ensino e reduzindo o papel do professor. Por isso, no processo educacional, o decisivo não é a tecnologia, mas quem a controla e a desenha. Oferecer a velha educação com uma roupagem tecnológica, embora lucrativo e fácil, não garante preparar as crianças para os grandes desafios que terão de enfrentar

Via Inovação Educacional
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January 25, 8:43 AM
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Aprendizaje continuo, memoria selectiva y planificación a largo plazo: El motor de la Inteligencia Artificial General Causal (AGC) de Farnós para la sincronización de la realidad y el intelecto col...

Aprendizaje continuo, memoria selectiva y planificación a largo plazo: El motor de la Inteligencia Artificial General Causal (AGC) de Farnós para la sincronización de la realidad y el intelecto col... | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnos ABSTRACT: . Español: La presente investigación formaliza la IAGC (Inteligencia Artificial General Causal) de Farnos, un ecosistema disruptivo que trasciende el actual paradigma de la IA generativa probabilística. Frente a los modelos de "fuerza bruta" que operan bajo una alta entropía informativa y un consumo insostenible de recursos naturales, proponemos el Agente…
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January 22, 2:30 AM
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El Futuro de la Ingeniería Aeroespacial: Sistemas de propulsión y defensa con la IA General Causal de Farnós –

El Futuro de la Ingeniería Aeroespacial: Sistemas de propulsión y defensa con la IA General Causal de Farnós – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnos Abstract (English) This research presents a paradigm shift in aerospace engineering through the implementation of Farnos' Low Entropy as a software design metric for Continuous Reasoning Agents (CRA). By integrating Causal General AI with Neuro-Bio-Cognitive architectures, we develop a self-regulating ecosystem for propulsion and defense systems. Utilizing DoWhy for causal discovery and…
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January 17, 3:02 AM
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La IA General-Causal en la Medicina-Cirugía: Neuro-robótica y Teorema de Nyquist-Farnós (Educación disruptiva & IA) –

La IA General-Causal en la Medicina-Cirugía: Neuro-robótica y Teorema de Nyquist-Farnós (Educación disruptiva & IA) – | E-Learning-Inclusivo (Mashup) | Scoop.it
Juan Domingo Farnos Abstract / Español Este trabajo define la arquitectura de la IA General Causal (AGI-C) como el motor fundamental de la medicina y cirugía del futuro. A través de la Baja Entropía de Farnos, la AGI-C trasciende el análisis de correlaciones para ejecutar una intervención basada en la comprensión de mecanismos causa-efecto en…
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