Article Personalized Learning Robotics Social Media 
User Generated Education
FEBRUARY 5, 2016
To achieve this, though, we’ll need to educate people very differently ( Robot-Proof: How Colleges Can Keep People Relevant in the Workplace ). Learners are consuming real time and constant information, media, and news via Google, Youtube, Twitter, Facebook, and forms of social media via their mobile devices.
Hack Education
MARCH 23, 2018
Each week, I gather a wide variety of links to education and education technology articles. “ Does tech designed to personalize learning actually benefit students? The third: lifelong learning. ” My favorite part of this article, I think, is where it boasts about how stable Ethiopia is these days.
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Hack Education
DECEMBER 29, 2017
There may be no better example of this in 2017 than “personalized learning.” “Personalized learning” has powerful advocates, least of which US Secretary of Education Betsy DeVos who talks about it as part of her broader initiative to “rethink school.” Manufacturing Trends.
Hack Education
DECEMBER 9, 2017
” Re-reading that article now makes me cringe. I have learned so much in the intervening years, and my analysis then strikes me as incredibly naive and shallow. More on that in a subsequent article in this series.) It’s a theme that runs throughout almost every article in this series.“Fake
User Generated Education
JULY 2, 2017
Articles, resources on social media, and conference presentations on these topics are proliferating at a rate that most educators are now familiar with maker education. Let me be really clear, making is not simply 3D printing, Art Lino, Raspberry Pi, LEDs, robots, laser and vinyl cutters.
Hack Education
DECEMBER 22, 2017
It’s a reaction, I’d say, to the current obsession with artificial intelligence and a response to all the stories we were told this year about robots on the cusp of replacing, out-“thinking,” and out-working us. I wrote about this company, along with its better known competitor ClassDojo, in an article in The Baffler.
Doug Levin
MARCH 19, 2017
Tagged on: March 17, 2017 Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans | Washington University Law Review → This article examines the matrix of vulnerabilities that low-income people face as a result of the collection and aggregation of big data and the application of predictive analytics.
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