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John Mikton

2013. Seven myths about young children and technology | Lydia Plowman - Academia.edu - 2 views

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    " 1 "
Jon Zurfluh

Are We Learning From Evaluations? - Leadership 360 - Education Week « TechTied - 0 views

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    My rebuttal.
John Mikton

The Curse of Email | Challies Dot Com - 2 views

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    The Curse of Email
John Mikton

If this doesn't terrify you... Google's computers OUTWIT their humans * The Register - 1 views

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    If this doesn't terrify you... Google's computers OUTWIT their humans 'Deep learning' clusters crack coding problems their top engineers can't
John Mikton

The Online Education Revolution Drifts Off Course : NPR - 2 views

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    The Online Education Revolution Drifts Off Course by
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    "We [added] human mentors," says Thrun. "We have people almost 24-7 that help you when you get stuck. We also added a lot of projects that require human feedback and human grading. "And that human element, surprise, surprise, makes a huge difference in the student experience and the learning outcomes," he says. So true! That's what independent schools have known for a long long time.
John Mikton

Brainlike Computers, Learning From Experience - NYTimes.com - 2 views

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    Brainlike Computers, Learning From Experience
John Mikton

If This Doesn't Terrify You … Google's Computers OUTWIT Their Humans | Fluenc... - 0 views

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    Google no longer understands how its "deep learning" decision-making computer systems have made themselves so good at recognizing things in photos. This means the internet giant may need fewer experts in future as it can instead rely on its semi-autonomous, semi-smart machines to solve problems all on their own. The claims were made at the Machine Learning Conference in San Francisco on Friday by Google software engineer Quoc V. Le in a talk in which he outlined some of the ways the content-slurper is putting "deep learning" systems to work. (You find out more about machine learning, a computer science research topic, here [PDF].)
John Mikton

0204.dvi - 0204.pdf - 0 views

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    Google no longer understands how its "deep learning" decision-making computer systems have made themselves so good at recognizing things in photos. This means the internet giant may need fewer experts in future as it can instead rely on its semi-autonomous, semi-smart machines to solve problems all on their own. The claims were made at the Machine Learning Conference in San Francisco on Friday by Google software engineer Quoc V. Le in a talk in which he outlined some of the ways the content-slurper is putting "deep learning" systems to work. (You find out more about machine learning, a computer science research topic, here [PDF].)
Arnie Bieber

Daily chart: Diligent Asia, indolent West | The Economist - 2 views

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    PISA rankings
Jon Zurfluh

Kindergarten classes should focus on more advanced content, less on basics, research sh... - 0 views

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    Overreaching conclusions from correlative research?
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