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Por Lorenzo García Aretio RESUMEN PODCAST-AUDIO Todas las entradas de la serie “80 años. Compendio EaD”, VER AQUÍ Abrir un foro es relativa...
Via LGA
To boost enrollment and completion rates among students, higher ed institutions must provide personalized, accessible and relevant learning opportunities.
Via EDTECH@UTRGV
Purpose-built AI learning platforms that don’t give students the answer, as opposed to tools that allow for direct answer generation like ChatGPT, are the way to avoid making students utterly dependent upon AI.
Via EDTECH@UTRGV
Merece la pena repensar la relación entre activismo y deliberación no como polos opuestos, sino como formas diferentes y complementarias.
Via LGA
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Rescooped by
juandoming
from Education 2.0 & 3.0
July 29, 1:26 AM
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Chatbots can be used at scale to mimic the Socratic method in university assessment and guide students to reflect on their thinking and reasoning process
Via Yashy Tohsaku
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juandoming
from Educación a Distancia y TIC
July 28, 10:29 AM
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juandoming
from e-learning-ukr
July 25, 8:00 AM
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Many institutions must navigate limited resources, uncertainty around tools and questions of capacity if they are to embrace generative AI. This guide outlines six practical, scalable steps that build on expertise and institutional strengths
Via Vladimir Kukharenko
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Rescooped by
juandoming
from eLearning
July 23, 9:01 AM
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Let’s dive into what priming is, how it enhances AI responses, and how L&D professionals can leverage priming to generate accurate and meaningful content.
Via CommLab India
Rather than pretending students can – or even should – avoid GenAI to become critical readers, we need to develop their critical reading skills to be able to successfully and critically interrogate AI-produced materials. Here’s how
Via Vladimir Kukharenko, Ricard Lloria
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juandoming
from e-learning-ukr
July 22, 1:25 AM
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This article explores the transformative integration of Artificial Intelligence (AI) into educational systems, moving beyond superficial applications to examine profound shifts in pedagogy, assessment, and the teacher's role. Drawing on a
Via Vladimir Kukharenko
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Rescooped by
juandoming
from e-learning-ukr
July 21, 8:51 AM
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Discover how AI can make general education more relevant for working learners through personalized, job-based assignments and meaningful mentorship.
Via Vladimir Kukharenko
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juandoming
July 20, 10:23 AM
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Juan Domingo Farnós El futuro de la educación superior está en plena transformación, y en este cambio radical, los agentes inteligentes y el enrutamiento dinámico de consultas juegan un papel decisivo al ofrecer un enfoque disruptivo, más allá de los modelos tradicionales de enseñanza y aprendizaje. Los sistemas educativos, al integrar tecnologías avanzadas como la…
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juandoming
from Edumorfosis.it
July 19, 3:33 AM
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The advent of ChatGPT, and the subsequent rapid improvement in the performance of what has become known as Generative AI, has led to many pundits declaring that AI will revolutionize education, as well as work, in the future. In this paper, we argue that enthusiasm for the use of AI in tertiary education is misplaced. A proper understanding of the nature of the outputs of AI suggests that it would be profoundly misguided to replace human teachers with AI, while the history of automation in other settings suggests that it is naïve to think that AI can be developed to assist human teachers without replacing them. The dream that AI could teach students effectively neglects the importance of ‘learning how’ in order to ‘learn that’, that teachers are also role models, and the social nature of education. To the extent that students need to learn how to use AI, they should do so in specialized study skills units. Rather than creating a market for dodgy educational AI by lowering their ambitions about what they can offer, universities should invest in smaller class sizes and teachers who are passionate about their disciplines. To flourish in the future, just as much as they do today, societies will need people who have learned to think and not—or not just—intelligent machines.
Via Edumorfosis
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Rescooped by
juandoming
from e-learning-ukr
Today, 1:29 AM
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Improve student communication with practical, theory-based strategies to reach today’s learners across platforms with empathy, clarity, and connection.
Via Vladimir Kukharenko
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Rescooped by
juandoming
from e-learning-ukr
July 30, 1:47 AM
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We’re living through a watershed moment in education. As AI tools become as common as calculators once were, educators are grappling with a fundamental question: How do we assess learning when students can generate polished essays, code, and presentations with a few keystrokes? The answer isn’t to ban AI or pretend it doesn’t exist. Instead, […]
Via Vladimir Kukharenko
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juandoming
July 29, 9:21 AM
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Juan Domingo Farnos En la convergencia de la educación disruptiva y la inteligencia artificial, emergen sistemas inteligentes que implementan el concepto de NeuroAprendizaje Adaptativo, combinando análisis masivo de datos y deep learning para predecir y mitigar desconexiones cognitivas en tiempo real. Mediante el desarrollo de Modelos Cognitivos Dinámicos basados en datos emocionales y de interacción,…
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Rescooped by
juandoming
from eLearning
July 29, 7:56 AM
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In the light of AI, eLearning outsourcing vendors must offer rapid development, AI integration, scalability, and more. Fin
Via CommLab India
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Scooped by
juandoming
July 28, 10:31 AM
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Juan Domingo Farnós La teoría de aproximación ha emergido como una piedra angular en la ingeniería y la inteligencia artificial (IA), proporcionando un marco robusto para abordar problemas complejos mediante funciones matemáticas simplificadas. Su capacidad para aproximar funciones no solo ha sido fundamental en la resolución de problemas en diversos campos, sino que también está…
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juandoming
July 26, 3:53 AM
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Juan Domingo Farnós Esta investigación plantea una arquitectura prospectiva que transita desde la Inteligencia Artificial Generativa (IAGen) hacia la Inteligencia Artificial General (AGI), enmarcada en contextos educativos disruptivos, plurales y ubicuos. Propone escenarios híbridos donde docentes y algoritmos co-crean rutas de aprendizaje adaptativo, emocional y metacognitivo, anclados en ecosistemas digitales sensibles a la diversidad cognitiva…
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Scooped by
juandoming
July 23, 10:48 AM
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Juan Domingo Farnos En el umbral de una transfiguración epistémica radical, el pensamiento computacional trasciende su genealogía técnica para reconfigurarse como una arquitectura gnoseológica transdisciplinar. Este constructo se erige como un metadispositivo cognitivo polifásico, donde la abstracción algorítmica coexiste con la heurística creativa en un bucle recursivo de síntesis y proyección. El problema deja de…
Por Lorenzo García Aretio RESUMEN PODCAST-AUDIO Todas las entradas de la serie “80 años. Compendio EaD”, VER AQUÍ Las instituciones, los do...
Via LGA
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Rescooped by
juandoming
from e-learning-ukr
July 22, 8:05 AM
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A new survey from the AAUP shows that a breakdown of shared governance around implementing AI has implications for the future of teaching, learning and job security. More colleges and universities are adopting artificial intelligence tools, yet faculty are rarely part of their institution’s decision-making process, according to a survey on AI and academic professions the Am
Via Vladimir Kukharenko
Abrir un foro es relativamente sencillo, sin embargo, convertirlo en un espacio de aprendizaje profundo exige una moderación especializada y sensible. Investigaciones sobre enseñanza en línea (Shea et al., 2006; Bolkan et al., 2012) concluyen que la calidad de la presencia docente y la forma de conducir el diálogo influyen más en los resultados que […]
Via LGA
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Rescooped by
juandoming
from Education 2.0 & 3.0
July 21, 1:44 AM
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En un contexto donde la formación en gestión de proyectos se vuelve indispensable, quienes lideran iniciativas educativas necesitan integrar nuevas
Via Yashy Tohsaku
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Rescooped by
juandoming
from Education 2.0 & 3.0
July 19, 1:16 PM
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By Phillip Alcock
It's difficult to imagine education ever returning to its previous state since the arrival of Generative AI in classrooms. It was around two years ago in Monterrey, Mexico, I began exploring how artificial intelligence might reshape project-based learning. What started as experimental teaching has evolved into a significant approach now frequently referred to as
Via Yashy Tohsaku
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