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Freakonomics » Women Continue to Make Education, Labor Gains - 25 views

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Teaching to the Text Message - NYTimes.com - 50 views

  • learning how to write concisely, to express one key detail succinctly and eloquently, is an incredibly useful skill, and more in tune with most students’ daily chatter, as well as the world’s conversation.
  • A lot can be said with a little — the mundane and the extraordinary. Philosophers like Confucius (“Learning without thought is labor lost. Thought without learning is perilous.”) and Nietzsche were kings of the aphorism.
  • I’m not suggesting that colleges eliminate long writing projects from English courses, but maybe we should save them for the second semester. Rewarding concision first will encourage students to be economical and innovative with language.
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    College English prof advocates teaching students to write concisely with text-like assignments.
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The Magic of Higher Education - Old School, New School - The Chronicle of Higher Education - 18 views

  • On a personal level, I find it difficult to connect with the corporate analogy. It is alienating, sterile, and ultimately…masculine.
  • When we view faculty as labor and students as customers, we do not see magic; we see expenses and revenue on a profit-and-loss sheet. We would be better off selling tickets to a magic show.
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    Corporate, capitalist imagery re higher ed = male-centric
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Call for Submissions - US Dept of Labor Employment and Training Administration - 27 views

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    See also statement by Labor Dept (http://www.dol.gov/opa/media/press/eta/eta20101436.htm) and White House (http://www.whitehouse.gov/blog/2011/01/20/new-job-training-and-education-grants-program-launched) and Chronicle article at http://chronicle.com/blogs/wiredcampus/2-billion-federal-program-could-be-windfall-for-open-online-learning/29167 $2-Billion Federal Program Could Be 'Windfall' for Open Online Learning January 22, 2011, 9:49 am By Marc Parry "The Obama administration is encouraging the development of high-quality immersive online-learning environments. It suggests courses with simulations, with constant feedback, and with interactive software that can tailor instruction and tutoring to individual students. It likes courses that students can use to teach themselves. And it demands open access to everything: "All online and technology-enabled courses must permit free public use and distribution, including the ability to re-use course modules, via an online repository for learning materials to be established by the federal government.... That's because the government is requiring that all work supported by the grants be made available under what's known as a "Creative Commons Attribution 3.0 License," which Mr. Green described as 'one of the most open content licenses that exists.'"
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The Answer Factory: Demand Media and the Fast, Disposable, and Profitable as Hell Media... - 24 views

  • Pieces are not dreamed up by trained editors nor commissioned based on submitted questions. Instead they are assigned by an algorithm, which mines nearly a terabyte of search data, Internet traffic patterns, and keyword rates to determine what users want to know and how much advertisers will pay to appear next to the answers.
  • To appreciate the impact Demand is poised to have on the Web, imagine a classroom where one kid raises his hand after every question and screams out the answer. He may not be smart or even right, but he makes it difficult to hear anybody else.
  • But what Demand has realized is that the Internet gets only half of the simplest economic formula right: It has the supply part down but ignores demand. Give a million monkeys a million WordPress accounts and you still might never get a seven-point tutorial on how to keep wasps away from a swimming pool. Yet that’s what people want to know.
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  • That’s not to say there isn’t any room for humans in Demand’s process. They just aren’t worth very much. First, a crowdsourced team of freelance “title proofers” turn the algorithm’s often awkward or nonsensical phrases into something people will understand: “How to make a church-pew breakfast nook,” for example, becomes “How to make a breakfast nook out of a church pew.” Approved headlines get fed into a password-protected section of Demand’s Web site called Demand Studios, where any Demand freelancer can see what jobs are available. It’s the online equivalent of day laborers waiting in front of Home Depot. Writers can typically select 10 articles at a time; videographers can hoard 40. Nearly every freelancer scrambles to load their assignment queue with titles they can produce quickly and with the least amount of effort — because pay for individual stories is so lousy, only a high-speed, high-volume approach will work. The average writer earns $15 per article for pieces that top out at a few hundred words, and the average filmmaker about $20 per clip, paid weekly via PayPal. Demand also offers revenue sharing on some articles, though it can take months to reach even $15 in such payments. Other freelancers sign up for the chance to copyedit ($2.50 an article), fact-check ($1 an article), approve the quality of a film (25 to 50 cents a video), transcribe ($1 to $2 per video), or offer up their expertise to be quoted or filmed (free). Title proofers get 8 cents a headline. Coming soon: photographers and photo editors. So far, the company has paid out more than $17 million to Demand Studios workers; if the enterprise reaches Rosenblatt’s goal of producing 1 million pieces of content a month, the payouts could easily hit $200 million a year, less than a third of what The New York Times shells out in wages and benefits to produce its roughly 5,000 articles a month.
  • But once it was automated, every algorithm-generated piece of content produced 4.9 times the revenue of the human-created ideas. So Rosenblatt got rid of the editors. Suddenly, profit on each piece was 20 to 25 times what it had been. It turned out that gut instinct and experience were less effective at predicting what readers and viewers wanted — and worse for the company — than a formula.
  • Here is the thing that Rosenblatt has since discovered: Online content is not worth very much. This may be a truism, but Rosenblatt has the hard, mathematical proof. It’s right there in black and white, in the Demand Media database — the lifetime value of every story, algorithmically derived, and very, very small. Most media companies are trying hard to increase those numbers, to boost the value of their online content until it matches the amount of money it costs to produce. But Rosenblatt thinks they have it exactly backward. Instead of trying to raise the market value of online content to match the cost of producing it — perhaps an impossible proposition — the secret is to cut costs until they match the market value.
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    This is facinating!!!
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Official Google Blog: Adding search power to public data - 0 views

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    The data we're including in this first launch represents just a small fraction of all the interesting public data available on the web. There are statistics for prices of cookies, CO2 emissions, asthma frequency, high school graduation rates, bakers' salaries, number of wildfires, and the list goes on. Reliable information about these kinds of things exists thanks to the hard work of data collectors gathering countless survey forms, and of careful statisticians estimating meaningful indicators that make hidden patterns of the world visible to the eye. All the data we've used in this first launch are produced and published by the U.S. Bureau of Labor Statistics and the U.S. Census Bureau's Population Division. They did the hard work! We just made the data a bit easier to find and use.
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