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Juan Domingo Farnós Trabajemos con el el marco SELF-TUNING en todas sus facetas en las investigaciones de la Educacion disruptiva & IA en los procesos de transformacion de la universidad y la educacion y como un paso mas de la creacion de la AGI y su intervencion en estos procesos. El marco SELF-TUNING, que puede…
Via juandoming
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Rescooped by
Ricard Lloria
from Mi Cajón de Ideas
Today, 5:12 AM
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El arqueólogo Harald Meller oyó de un artefacto que representaba el cielo y supo que podría reescribir la prehistoria, pero estaba en manos de delincuentes.
Via Alvaro Díaz A.
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Rescooped by
Ricard Lloria
from Mi Cajón de Ideas
Today, 5:12 AM
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Lucy, a 3.2-million-year-old fossilized hominin, may have been much less hairy than we imagine—a perhaps shocking revelation for our modern sense of nakedness
Via Alvaro Díaz A.
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Rescooped by
Ricard Lloria
from e-learning-ukr
Today, 5:11 AM
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With the acceleration of technology, the university experience is changing. As academics, it’s up to us to guide our students through this new normal of learning, navigating information and socialising, writes Nazlihasri Abdul Rahman
Via Vladimir Kukharenko
"GenType Alphabet Creator is free to use, and here's why you should try it ..."
Via Leona Ungerer
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Rescooped by
Ricard Lloria
from e-learning-ukr
June 23, 5:06 AM
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To determine where data is shared and what data is no longer available, this study analyzed data shared by researchers at a single university. 2166 supplemental data links were harvested from the university’s institutional repository and web scraped using R. All links that failed to scrape or could not be tested algorithmically were tested for availability by hand. Trends in data availability by link type, age of publication, and data source were examined for patterns. Results show that researchers shared data in hundreds of places. About two-thirds of links to shared data were in the form of URLs and one-third were DOIs, with several FTP links and links directly to files. A surprising 13.4% of shared URL links pointed to a website homepage rather than a specific record on a website. After testing, 5.4% the 2166 supplemental data links were found to be no longer available. DOIs were the type of shared link that was least likely to disappear with a 1.7% loss, with URL loss at 5.9% averaged over time. Links from older publications were more likely to be unavailable, with a data disappearance rate estimated at 2.6% per year, as well as links to data hosted on journal websites. The results support best practice guidance to share data in a data repository using a permanent identifier.
Via Vladimir Kukharenko
AI is transforming our lives. The AI revolution is transforming nearly every aspect of our lives, and education is no exception. As artificial intelligence (AI) technologies become more sophisticated and accessible, their potential to reshape teaching and learning is becoming increasingly apparent. From personalizing instruction to automating administrative tasks, AI promises to enhance educational outcomes and empower educators to better aid their
students.
Around the world, countries are leveraging AI to revolutionize education, each with unique approaches tailored to their specific educational goals and challenges. Singapore, for example, is setting a global benchmark with its “Smart Nation” strategy, aiming to become a world leader in AI by 2030. This includes extensive use of AI to support personalized education and help teachers better address the needs of students, especially those with special needs. Similarly, South Korea is using AI to personalize homework and learning activities based on individual educational levels and learning behaviors, while Finland is integrating AI into its national education system with a strong emphasis on ethics and equity (Lake 2023).
However, as AI proliferates in education, it is crucial for policymakers, educational institutions, and stakeholders to understand both its potential benefits and the challenges that come with its implementation. While some, like Sal Khan, founder of Khan Academy, believe that AI will be “probably the biggest transformation that education has ever seen,” others, such as Benjamin Riley, founder of Cognitive Resonance, caution that we may be misunderstanding the role technology can play in education due to a failure to properly understand the science of how humans think and learn.
Moreover, the increasing use of AI-powered tools, such as ChatGPT, has led to concerns about academic integrity and the need for AI-detection tools. A recent survey by the Center for Democracy & Technology found that while schools are adapting to the growing use of AI, there are still significant concerns about the effectiveness of AI-detection tools and the potential for false accusations of cheating.
Via Edumorfosis, juandoming
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Rescooped by
Ricard Lloria
from e-learning-ukr
June 22, 4:39 AM
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This article aims to identify and describe ways that educators can create an inclusive learning environment while also crafting content that is empathetic to the needs of the diverse nursing student population.
Via Vladimir Kukharenko
Juan Domingo Farnós Para conseguir que la AGI cambie el modelage que impone la Inteligencia artificial generativa (IAG) en la construccion de sinapsis algoritmicas en procesos de aprendizaje en Educacion superior (investigacion) y de la educación en general, dentro del marco de la Educacion disruptiva, proponemos una serie de arquitecturas y diseños que nos llevan…
Via juandoming
Las sinergias neuronales en la inteligencia artificial (IA) se refieren a la manera en que los sistemas de IA se inspiran en el funcionamiento del cerebro humano para mejorar su eficiencia y capacidad de aprendizaje. La sinapsis, que es la conexión entre las neuronas en el cerebro, ha sido un modelo para el diseño de redes neuronales artificiales, que son la base de muchos algoritmos de IA.
Una de las formas más prominentes es a través de la modelización de las redes neuronales artificiales, que se basan en la estructura y funcionamiento de las redes neuronales biológicas en el cerebro humano:
Via Edumorfosis, juandoming
It turns out the first steps to developing a learner profile are deceptively simple. See what they are and access tools to support the work.
Via Yashy Tohsaku, juandoming
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Rescooped by
Ricard Lloria
from Edumorfosis.it
Today, 5:12 AM
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En su artículo "College Should Produce Triple-Threat Graduates," Brandon Busteed destaca la necesidad urgente de que las instituciones de educación superior preparen a sus estudiantes de manera integral para el mercado laboral actual. Busteed sugiere que los graduados deben poseer tres elementos clave: participación en proyectos a largo plazo, experiencia laboral extensiva a través de prácticas académicas y la obtención de una credencial reconocida por la industria. Estos elementos no solo deben ser parte del currículo, sino también estar claramente visibles en los expedientes académicos y los currículos de los graduados para aumentar su empleabilidad y el valor percibido de la educación superior.
Via Edumorfosis
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Rescooped by
Ricard Lloria
from Mi Cajón de Ideas
Today, 5:12 AM
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La inteligencia artificial (IA) es un campo en constante evolución. En los últimos años, la discusión sobre la IA open source ha cobrado fuerza, con voces diversas intentando definir lo que realmente significa. Ahora, en TC, han investigado sobre este tema en un impresionante artículo que aquí os resumo: El Debate de la IA Open
Via Alvaro Díaz A.
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Rescooped by
Ricard Lloria
from e-learning-ukr
Today, 5:12 AM
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Social and emotional skills (SES) are important for various life outcomes, such as academic achievement, mental health, job performance or civic engagement. The assessment of these skills in children and adolescents, however, currently relie
Via Vladimir Kukharenko
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Rescooped by
Ricard Lloria
from e-learning-ukr
Today, 5:11 AM
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Learning is seen as a path to personal and professional growth and enlightenment, a journey toward acquiring knowledge and skills that can transform our lives. This journey is rarely smooth or stra…
Via Vladimir Kukharenko
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Rescooped by
Ricard Lloria
from e-learning-ukr
June 23, 5:06 AM
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Giving a talk is a lot like selling a car. Take them for a test drive, don’t read them the owner’s manual.
Via Vladimir Kukharenko
"This archaic practice wastes time, erodes trust, and detracts from what really matters ..."
Via Leona Ungerer
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Rescooped by
Ricard Lloria
from Edumorfosis.it
June 23, 5:02 AM
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En un mundo donde la tecnología inteligente domina cada vez más, la interpretabilidad de los sistemas de inteligencia artificial (IA) se convierte en un imperativo ético y educativo crucial. Los modelos de aprendizaje multidisciplinarios (MAM) emergen como una respuesta innovadora al desafío de las «cajas negras» del aprendizaje automático tradicional. Estos modelos no solo integran datos y algoritmos, sino también conocimientos interdisciplinarios de ética, psicología, sociología y derecho. Facilitan una comprensión profunda de cómo se toman decisiones y se generan predicciones, promoviendo transparencia y mitigando sesgos.
En este contexto, exploraremos cómo los MAM superan a los modelos tradicionales en precisión y transparencia, destacando su capacidad para adaptarse a contextos educativos dinámicos y complejos. Además, discutiremos el impacto potencial de estos modelos en la personalización del aprendizaje y el mejoramiento del rendimiento estudiantil en la educación superior. Sin embargo, también consideraremos las limitaciones y sesgos inherentes en los datos y algoritmos utilizados, crucial para un despliegue ético y equitativo de la IA educativa.
Via Edumorfosis
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Rescooped by
Ricard Lloria
from e-learning-ukr
June 22, 4:39 AM
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Even when course developers use imagery, many choose the wrong types of images, thus undermining their message. Here are a few simple rules for using visuals that will produce real learning and lasting retention.
Via Vladimir Kukharenko
One of the most powerful features of language-based generative AI tools like ChatGPT, Microsoft's Copilot, or AWS Code Whisperer is the ability to create computer code. After all, code is just another language – one that’s designed to be understandable by both humans and machines – and LLMs like GPT-4 are able to analyze, sequence and predict it just as they can with natural languages.
Via Edumorfosis, juandoming
Teaching financial literacy to teens can be made more effective and engaging by using real-world examples, such as interactive apps and hands-on activities like budgeting classroom dollars or plann…
Via Yashy Tohsaku, John Evans
Explore the potential benefits of active learning in math education and the impact it could have on inspiring and educating young minds.
Via Yashy Tohsaku, juandoming
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Scooped by
Ricard Lloria
June 20, 11:49 PM
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Discover the journey from burnout to brain-based breakthroughs in leadership. Learn how neuroscience can transform workplaces and unlock human potential.
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![[PDF] AI revolution in Education: What you need to know | Help and Support everybody around the world | Scoop.it](https://img.scoop.it/MRSTxTepkpzcX9apumAWBzl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
Thanks for the suggestion to April Alen Abion.