http://patricklowenthal.com/publications/Using_Twitter_to_Enhance_Social_Presence.pdf - 0 views
What's on the Menu? - Help the New York Public Library preserve history | Apples for Geeks - 0 views
UnPlug'd - Home | Page d'accueil - 0 views
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UnPlug'd brings together Canadian educational change agents to share peer-reviewed success stories; to deepen relationships among participants; to publish the collective vision of the group. Grassroots educators will share their first-hand experiences, collectively considering modern approaches to learning. The summit will culminate with the release a publication that communicates a vision for the future of K-12 education in Canada.
The New "Publicness," the New (Networked) Privacy, and Youth Expression | Spotlight on ... - 0 views
What we learned from 5 million books | Video on TED.com - 0 views
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From YouTube version of this talk: "[Google's digtized books] are very practical and extremely awesome." Erez Lieberman Aiden and Jean-Baptiste Michel from Harvard University use the 15 million books scanned and digitized by Google to show how a visual and quantitative analysis of text can provide insights about fields as diverse as lexicography, the evolution of grammar, collective memory, the adoption of technology, the pursuit of fame, censorship, and historical epidemiology.
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ELA: There are more sobering notes among the n-grams. For instance, here's the trajectory of Marc Chagall, an artist born in 1887. And this looks like the normal trajectory of a famous person. He gets more and more and more famous, except if you look in German. If you look in German, you see something completely bizarre, something you pretty much never see, which is he becomes extremely famous and then all of a sudden plummets, going through a nadir between 1933 and 1945, before rebounding afterward. And of course, what we're seeing is the fact Marc Chagall was a Jewish artist in Nazi Germany. Now these signals are actually so strong that we don't need to know that someone was censored. We can actually figure it out using really basic signal processing. Here's a simple way to do it. Well, a reasonable expectation is that somebody's fame in a given period of time should be roughly the average of their fame before and their fame after. So that's sort of what we expect. And we compare that to the fame that we observe. And we just divide one by the other to produce something we call a suppression index. If the suppression index is very, very, very small, then you very well might be being suppressed. If it's very large, maybe you're benefiting from propaganda.
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Now when Google digitizes a book, they put it into a really nice format. Now we've got the data, plus we have metadata. We have information about things like where was it published, who was the author, when was it published. And what we do is go through all of those records and exclude everything that's not the highest quality data. What we're left with is a collection of five million books, 500 billion words, a string of characters a thousand times longer than the human genome -- a text which, when written out, would stretch from here to the Moon and back 10 times over -- a veritable shard of our cultural genome.
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Grockit Answers: Unit 0w, 1 Introduction - 0 views
How To Get Started With Google+ Hangouts On Air - 0 views
What Are Grades For? - 0 views
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There should be about as many marks of 3.5 or higher as there are pupils in a group with IQ's of 120 or above. There should be about as many marks of F (1.0 to 1.5) as there are pupils with IQ's of 95 or less. It is expected that the number of marks at the 3.5 level or higher, and at the 1.5 level or lower, may have a variance of 25 percent of the pupils in the IQ groups of 120 and up, and 95 and below. (1992, p. 10)
Free Technology for Teachers: Video - Create a Collaborative Digital Writing Portfolio - 2 views
Pioneering open-access pledges « Ceptional - 0 views
UConn Daily Digest for January 25, 2012 - 0 views
ACTFLProficiencyGuidelines2012 - 0 views
iTunes U | The New Media Consortium - 0 views
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