Watching his videos highlights how little the Web has changed higher education. Many online courses at traditional colleges simply replicate the in-person model—often in ways that are not as effective. And what happens in most classrooms varies little from 50 years ago (or more). Which is why Mr. Khan's videos come as a surprise, with their informal style, bite-sized units, and simple but effective use of multimedia.
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A Self-Appointed Teacher Runs a One-Man 'Academy' on YouTube - Technology - The Chronic... - 3 views
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Mr. Khan has a vision of turning his Web site into a kind of charter school for middle- and high-school students, by adding self-paced quizzes and ways for the site to certify that students have watched certain videos and passed related tests. "This could be the DNA for a physical school where students spend 20 percent of their day watching videos and doing self-paced exercises and the rest of the day building robots or painting pictures or composing music or whatever," he said.
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"Watching his videos highlights how little the Web has changed higher education. Many online courses at traditional colleges simply replicate the in-person model-often in ways that are not as effective. And what happens in most classrooms varies little from 50 years ago (or more). Which is why Mr. Khan's videos come as a surprise, with their informal style, bite-sized units, and simple but effective use of multimedia."
Neuro-tweets: #hashtagging the brain - Research - University of Cambridge - 0 views
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human brain networks represent a balance between high efficiency of information transfer and low connection cost
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Members of the audience and other Twitter users were asked to tweet during the lecture about the concepts that were being discussed, using the hashtag #csftwitterbrain. At the end of the talk Professor Bullmore displayed the resulting image showing the interconnectivity of the hashtagged tweets, and explained how Twitter networks can be compared to the human brain network. “We found that the #twitterbrain network was somewhat like the brain network in being small-world and modular with highly connected hub nodes; however the brain network was more clustered and less efficient than the twitter network. So at first sight there were some points in common and some points of difference between these two information processing networks.”
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“It has been intriguing to see the spectacle of watching the twitter network grow or evolve over the course of several days. And I have learnt a lot about the power of new media to engage and communicate, and the potential scientific value of using Twitter to map and measure social networks.”
The Trouble With Twitter - The Chronicle Review - The Chronicle of Higher Education - 0 views
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To those who Twitter, the reporter who investigates a story before offering it to the public must also seem tediously ruminant. On Twitter, the notes become the story, devoid of even five minutes of reflection on the writer's way to the computer. I can see that there are times —an airplane landing in the Hudson, a presidential election in Iran—when this type of impromptu journalism becomes a necessity, and an exciting one at that. Luckily, reporters still exist to make sense of information bytes and expand upon them for readers—but for how much longer? I worry that microblogging cheats my students out of their trump card: a mindful attention to the subject in front of them, so that they can capture its sights and sounds, its smells and tactile qualities, to share with readers. How can Twittering stories from laptops and phones possibly replace the attentive journalist who tucks a digital recorder artfully under a notepad, pencil behind one ear, and gives full attention to the subject at hand?
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I went home after the lecture and—hypocritically, I admit—updated my Facebook status and my blog to declare how much I despise Twitter.
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Twitter serves as a source of links to longer news stories.
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Which is one of its main uses in journalism. As Jay Rosen (@jayrosennyu) and others have put it, through services like Twitter and, indeed, Diigo we edit the web for one another. We can see it as acting as human filters, intelligent gatherers and sifters of information for the various networks in which we are nodes.
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