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E-Learning-Inclusivo (Mashup)
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"Do you want to promote deep and lasting learning? Of course you do. All educators want their students to learn deeply and well. And yet evidence shows that such learning is rare in many schools. To help close the gap between aspiration and common practice, let's explore four key questions about deeper learning and how it really happens in classrooms ..." © Via Leona Ungerer
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We look at the research, raw materials, and funding options for flexible spaces, and then ask over 20 teachers how they managed the transformation. Via Tom D'Amico (@TDOttawa)
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I was honoured with an invitation to speak at Michael Fullan’s conference on New Pedagogie Via Tom D'Amico (@TDOttawa)
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New Pedagogies for Deep Learning: Flourishing in a Complex World, offers an inside look into classroom, school and board-deep learning practices. Teachers and administrators talk about how this pedagogy is transforming student, teacher and system learning. Students talk about how they build knowledge as a community through deep learning and integrative thinking. It will be relevant to educators and system staff interested in the impact of deep learning on student, teacher and staff agency. Via Tom D'Amico (@TDOttawa)
FlashWebsiteHeader's curator insight,
February 28, 2018 4:26 AM
Decide the sort of data included. The data that is incorporated changes starting with one leaflet then onto the next. The handout may incorporate the association's statement of purpose, item highlights, diagrams and charts, guidelines, photographs, and a logo. To cause choose what to incorporate, think about what reason the handout serves. Is it to remind a prospect about the fundamentals of your custom brochure design company or is it to offer a particular administration or item, in which case you'll need to ensure your prospect recognizes what to do straightaway: visit your site, enter a code, call an exceptional telephone number, and so forth.
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El experto en inteligencia artificial y creador de Coursera, Andrew Ng, no cree que la sociedad se vaya a quedar sin trabajo que hacer, sino que carece de las habilidades necesarias para el futuro. Su solución es formar millones de expertos en aprendizaje profundo a través de internet Via Carlos Fosca
Carlos Fosca's curator insight,
August 17, 2017 8:16 AM
Los expertos en IA se han convertido en uno de los perfiles más buscados y mejor pagados en la economía de la tecnología actual. El aprendizaje profundo implica enseñar a una máquina a realizar una tarea compleja a partir de grandes cantidades de datos con una gran red neuronal artificial. Sin embargo, dominar la técnica ha requerido siempre un profundo conocimiento técnico y experiencia. Andrew Ng, uno de los expertos en inteligencia artificial más reconocidos del mundo y fundador de Coursera, lanza una iniciativa en línea para formar millones de expertos en inteligencia artificial (IA) en un amplio abanico de industrias.
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NPDLConnect Podcast series Michael Fullan is a worldwide authority on educational reform. Michael “walks the talk” by leading our NPDL Partnership – a global endeavor to shift pedagogy and deepen learning in over 1000 schools in 7 countries. A former Dean of the Ontario Institute for Studies in Education (OISE) of the University of Toronto, Michael … Via Tom D'Amico (@TDOttawa)
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More teachers today are providing opportunities for their students to connect and learn in powerful ways. There is an increasing focus on collaboration, competency-based learning, use of open resources, project-based learning, and learning environments are shifting to support these new opportunities. These shifts are accelerated by access to technology that has transformed how we learn and interact with one another. Via Nik Peachey
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Le deep learning, une technique qui révolutionne l'intelligence artificielle...et bientôt notre quotidien ! Le billet qui accompagne la vidéo Via JP Fourcade, michel verstrepen
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Like any proud father, Gary Marcus is only too happy to talk about the latest achievements of his two-year-old son. More unusually, he believes that the way his toddler learns and reasons may hold the key to making machines much more intelligent.
Nowadays almost everyone else trying to commercialize AI, from Google to Baidu, is focused on algorithms that roughly model the way neurons and synapses in the brain change as they are exposed to new information and experiences. This approach, known as deep learning, has produced some astonishing results in recent years, especially as more data and more powerful computer hardware have allowed the underlying calculations to grow in scale. Deep-learning methods have matched—or even surpassed—human accuracy in recognizing faces in images or identifying spoken words in audio recordings. Google, Facebook, and other big companies are applying the approach to just about any task in which it is useful to spot a pattern in huge amounts of data, such as refining search results or teaching computers how to hold a conversation (see “Teaching Machines to Understand Us”).
But is deep learning based on a model of the brain that is too simple? Geometric Intelligence—indeed, Marcus himself—is betting that computer scientists are missing a huge opportunity by ignoring many subtleties in the way the human mind works. In his writing, public appearances, and comments to the press, Marcus can be a harsh critic of the enthusiasm for deep learning. But despite his occasionally abrasive approach, he does offer a valuable counter-perspective. Among other things, he points out that these systems need to be fed many thousands of examples in order to learn something. Researchers who are trying to develop machines capable of conversing naturally with people are doing it by giving their systems countless transcripts of previous conversations. This might well produce something capable of simple conversation, but cognitive science suggests it is not how the human mind acquires language. Via Dr. Stefan Gruenwald, Miloš Bajčetić, Mark E. Deschaine, PhD
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In the last few decades, we have witnessed major technological innovations such as personal computers and the internet finally reach the mainstream. And with mobile devices and social networks on the rise, we're now more connected than ever.So what's next? When is it coming? And how will it change our lives? Today I'll tell you that the next big advance is well underway and it's being fueled by a recent technique in the field of Artificial Intelligence known as Deep Learning. Tomasz Malisiewicz, 07/11/2015 Via Pierre Tran, Fernando de la Cruz Naranjo Grisales, Suvi Salo
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Create new technology solutions to address online education, mental health, digital wellness, equity and diversity challenges Via Tom D'Amico (@TDOttawa) , michel verstrepen
christijulia22's comment,
August 24, 2022 2:23 AM
2 Hour Virtual Seminar - Workplace Mental Health Challenges & the ADAAA
https://grcadvisoryonline.com/2-hour-virtual-seminar-workplace-mental-health-challenges-the-adaaa-webinar-training-web14508
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Molly Holiday's curator insight,
January 23, 2020 3:53 PM
This is a long document,but worth the read! The introduction outlines the 8 critical characteristics of future education and it aligns really well with what we're doing... plus some tweaks!
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The New Pedagogies for Deep Learning Global Team recently collaborated with Dr Jean Clinton, a Clinical Professor of Psychiatry and Behavioral Neurosciences at McMaster University in Hamilton, and her colleague, Stephen De Groot.Together we identified what’s happening in a young person’s brain when it’s engaged in learning and then considered how fostering conditions, environments and practices that promote deep learning can support mental health and well-being. Via Tom D'Amico (@TDOttawa)
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At the recent ISTE conference, I was excited to be part of the team to help spread the word about the new, Global Problem Solvers: The Series (GPS: The Via Tom D'Amico (@TDOttawa)
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"This blog on What is Deep Learning will provide you an overview of Artificial Intelligence, Machine Learning and Deep Learning with its applications ..." Via Leona Ungerer
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Mike Clare's curator insight,
January 27, 2017 9:46 AM
Great article. I appreciate this but why are most of the examples for primary students, what are we doing for the higher grades?
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Google MyMaps lets students create maps with custom-pinned location. The magic, though, is in what you put in those pins. Via Tom D'Amico (@TDOttawa) , Javier Sánchez Bolado
Lindsay Hoyt's curator insight,
June 26, 2017 11:42 PM
Helps make connections to geographical locations.
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Packaging the abilities of several Google tools together can lead to deep learning around a single topic. Here are some ideas. Via Tom D'Amico (@TDOttawa) , Javier Sánchez Bolado
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Techies who have some background in machine learning may want to tune into Google's new course on deep learning. Available through Udacity—home to a host of open online courses—the class is expected to run about three months, assuming people put in about six hours of work per week. Via Canadian Vocational Association / Association canadienne de la formation professionnelle
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In the past couple of years, Google has been trying to improve more and more of its services with artificial intelligence. Google also happens to own a quantum computer -- a system capable of performing certain computations faster than classical computers. Via Pierre Tran
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