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Five Common Myths about the Brain - Scientific American - 3 views
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"ome widely held ideas about the way children learn can lead educators and parents to adopt faulty teaching principles Jan 1, 2015 Credit: Kiyoshi Takahase segundo MYTH HUMANS USE ONLY 10 PERCENT OF THEIR BRAIN FACT The 10 percent myth (sometimes elevated to 20) is mere urban legend, one perpetrated by the plot of the 2011 movie Limitless, which pivoted around a wonder drug that endowed the protagonist with prodigious memory and analytical powers. In the classroom, teachers may entreat students to try harder, but doing so will not light up "unused" neural circuits; academic achievement does not improve by simply turning up a neural volume switch. MYTH "LEFT BRAIN" and "RIGHT BRAIN" PEOPLE DIFFER FACT The contention that we have a rational left brain and an intuitive, artistic right side is fable: humans use both hemispheres of the brain for all cognitive functions. The left brain/right brain notion originated from the realization that many (though not all) people process language more in the left hemisphere and spatial abilities and emotional expression more in the right. Psychologists have used the idea to explain distinctions between different personality types. In education, programs emerged that advocated less reliance on rational "left brain" activities. Brain-imaging studies show no evidence of the right hemisphere as a locus of creativity. And the brain recruits both left and right sides for both reading and math. MYTH YOU MUST SPEAK ONE LANGUAGE BEFORE LEARNING ANOTHER FACT Children who learn English at the same time as they learn French do not confuse one language with the other and so develop more slowly. This idea of interfering languages suggests that different areas of the brain compete for resources. In reality, young children who learn two languages, even at the same time, gain better generalized knowledge of language structure as a whole. MYTH BRAINS OF MALES AND FEMALES DIFFER IN WAYS THAT DICTATE LEARNING ABILITIES FACT Diffe
Deepfakes are getting better-but they're still easy to spot | Ars Technica - 0 views
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"Last week, Mona Lisa smiled. A big, wide smile, followed by what appeared to be a laugh and the silent mouthing of words that could only be an answer to the mystery that had beguiled her viewers for centuries. A great many people were unnerved. Ars Technica Join Ars Technica and Get Our Best Tech Stories DELIVERED STRAIGHT TO YOUR INBOX. SIGN ME UP Will be used in accordance with our Privacy Policy Mona's "living portrait," along with likenesses of Marilyn Monroe, Salvador Dali, and others, demonstrated the latest technology in deepfakes-seemingly realistic video or audio generated using machine learning. Developed by researchers at Samsung's AI lab in Moscow, the portraits display a new method to create credible videos from a single image. With just a few photographs of real faces, the results improve dramatically, producing what the authors describe as "photorealistic talking heads." The researchers (creepily) call the result "puppeteering," a reference to how invisible strings seem to manipulate the targeted face. And yes, it could, in theory, be used to animate your Facebook profile photo. But don't freak out about having strings maliciously pulling your visage anytime soon. "Nothing suggests to me that you'll just turnkey use this for generating deepfakes at home. Not in the short-term, medium-term, or even the long-term," says Tim Hwang, director of the Harvard-MIT Ethics and Governance of AI Initiative. The reasons have to do with the high costs and technical know-how of creating quality fakes-barriers that aren't going away anytime soon."
Sign Generator Site - 14 views
Warning Sign Generator - 0 views
A Wonderful Poster on Failure ~ Educational Technology and Mobile Learning - 6 views
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"I have always believed that teachers (and people in general) MUST have an open midset; one that tolerates and celebrates mistakes and errors; one that looks at failure as an opportunity for a better beginning. It is through falling down that we stand up robust and it is through misfortunes that we gather our strength to live the life we want and pursue our dreams. If we want to raise up socially and emotionally strong students who can face up and overcome the hardships of life, an important key in this is to teach (and model) them about failure. We need to show them that failure is a healthy sign and a good omen for a healthy life experience. They need to view failure as an attempt for deep reflection and meditation about what work or did not work. They also need to be reminded that failure has been a common denominator behind most of the historical achievements and invention in the history of humankind."
A machine-learning revolution - Physics World - 1 views
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"The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers - harnessed to algorithms refined over the past decade - are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers When your bank calls to ask about a suspiciously large purchase made on your credit card at a strange time, it's unlikely that a kindly member of staff has personally been combing through your account. Instead, it's more likely that a machine has learned what sort of behaviours to associate with criminal activity - and that it's spotted something unexpected on your statement. Silently and efficiently, the bank's computer has been using algorithms to watch over your account for signs of theft. Monitoring credit cards in this way is an example of "machine learning" - the process by which a computer system, trained on a given set of examples, develops the ability to perform a task flexibly and autonomously. As a subset of the more general field of artificial intelligence (AI), machine-learning techniques can be applied wherever there are large and complex data sets that can be mined for associations between inputs and outputs. In the case of your bank, the algorithm will have analysed a vast pool of both legitimate and illegitimate transactions to produce an output ("suspected fraud") from a given input ("high-value order placed at 3 a.m."). But machine learning isn't just used in finance. It's being applied in many other fields too, from healthcare and transport to the criminal-justice system. Indeed, Ge Wang - a biomedical engineer from the Rensselaer Polytechnic Institute in the US who is one of those pioneering its use in medical imaging - believes that when it comes to machine learning, we're on the cusp of a revolution."
Data Never Sleeps 5.0 | Domo - 1 views
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"Data is on overdrive. It's being generated at break-neck pace, flooding out of the dozens of connected devices we use every day, and it shows no signs of slowing down. In fact, the number of internet users has grown over a billion in the last five years, more than half of the world's web traffic now comes from mobile phones. In its fifth year, Data Never Sleeps shows exactly how much data is created every single minute. From tweets to swipes, likes to shares, the digital world is exploding. Have a look."
creatingaPLN » home - 0 views
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joevans · My Wikis · My Mail · My Account · Help · Sign Out · wikispaces *This page can only be edited by organizers of this wiki.homeProtected * pagesubmenu o print o what links here? o rename o delete o redirect o unlock o view source * discussion * history * notify me Protected Welcome to our resource wiki for: Personal Learning Networks: The Power of the Human Network Judith Epcke (@jepcke) and Scott Meech (@smeech) Locations of visitors to this page Bold Italic Underline Color and Style Ordered List Unordered List Horizontal Rule Insert Link Remove Link Insert Images and Files Embed Widget Insert Table Insert Special Character Insert Code Cancel none Optional: a note about this edit for the page history log Optional: tags for this page, separated by commas Cancel Note that the content you create on http://creatingapln.wikispaces.com is licensed under the Creative Commons Attribution Share-Alike 3.0 License. Please only submit content that you write yourself or that is in the public domain. Learn more about our open content policy. Insert a File Double click an image or file to insert it into the page. Show: please wait... Page: Jump: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Double clicking a file: inserts the file links to the file Upload New File notUploading Insert External Image by URL Enter an external image address, click "Load", then double click the image to insert it into the page. * Wikispaces Wikispaces * Video Video * Audio Audio * Calendar Calendar * Spreadsheet Spreadsheet * Document Document * Polls Polls * RSS Feed RSS Feed * Chat and IM Chat and IM * Slideshow Slideshow * Map Map * Bookmark Bookmark * Other HTML Other HTML Choose the category of application you would like to embed from the list on the left. Choose the kind of content you would like
Children's math education resources for teachers | DreamBox Learning online math educat... - 0 views
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DreamBox Learning provides more than 350 math lessons and completely individualized learning in an engaging and effective game experience that kids really like!
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DreamBox Learning K-2 Math is a solid curriculum, taught in a way that enhances learning fun.
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