Group items matching

in title, tags, annotations or url

in the absence of clear information to the contrary, most works may be assumed to be protected by federal copyright law.

We don’t count that against the kid’s grade, we put that there as a sort of brain teaser to show them that not everything is quantifiable, and to let them have a little fun,” then I’ll retract all my aspersions about how they’re money-grubbing b——- and overcharge for this stuff and sell it over and over again and underpay the poor authors they buy it off of

ata mining and take various inputs, like test question results, activity on the system, what links students clicked, etc. to make a prediction of the next best piece of content for a student to learn.

The technology seems to be working. After a pilot project at Arizona State University with 5,000 remedial math students, pass rates improved from 66 percent to 75 percent, with half the class finishing four weeks early

“The professors are much better prepared for a single class so that they can give much more individualized instruction,” Lui said. “The practical effectiveness of this means that teachers are now able to use their time more efficiently to hone in on the things that are most troublesome or useful for different groups of students. You’re not teaching to the mean or bottom quartile.”

Analyzing and collecting big data is really what Junyo is about, enabling everyone in the education sector to make the learning experience more personal.

The students also have their own dashboard to see recommended content.

Teachers don’t have the time to do detailed reporting of a student’s progress and even if they did, they wouldn’t be able to provide one on one tutoring for every single student at different stages of learning.

students are learning more outside the classroom than in the classroom, and educators are finally starting to acknowledge that.

Research shows that learners who are interested in what they are learning, achieve higher order learning outcomes.

Research shows that among friends and peers, young people fluidly contribute, share, and give feedback to one another, producing powerful learning.

Peer culture and interest-driven activity needs to be connected to academic subjects, institutions, and credentials for diverse young people to realize these opportunities.

It's unclear if the Education Department was aware of this issue until contacted by Inside Higher Ed on Friday. The department now says it will review the longstanding practice of sharing the FAFSA positions with every college.

The use of the list on the FAFSA is just another example of how colleges are using increasingly sophisticated data mining techniques to recruit and shape their classes.

"A lot of people have done a lot more and gotten a lot less, and a lot of people have done a lot less and gotten a lot more."

I got my medals, in part, because I did brave acts, but also, in part, because the kids liked me and they spent time writing better eyewitness accounts than they would have written if they hadn't liked me

The only people who will ever know the value of the ribbons on their chests are the people wearing them—and even they can fool themselves, in both directions.

he whole assault ground to a halt, except for one kid named Niemi, who had sprinted forward when we came under the intense fire and disappeared up in front of us somewhere.

alking to a group of us about when it was a platoon leader earned his pay. I knew, floating above that mess, that now that time had come. If I didn't get up and lead, we'd get wiped.

I'm most proud of is that I simply stood up, in the middle of all that flying metal, and started up the hill all by myself.

I did it for the right reasons.

At this point I saw the missing kid, Niemi, pop his head up. He sprinted across the open top of the hill, all alone.

Crashing out of the clouds into this confusion came a flaming, smoking twin-rotor CH-46 helicopter.

I saw Niemi pop into sight again. He sprinted to the downed chopper.

the only thing he could think to do was sprint across the open hilltop to see if he could find a place from which he could lay down fire to protect them.

Niemi got a Navy Cross.

I got a Navy Cross.

elicopter pilot

ont-page story

The kid who borrowed my rifle didn't get anyt

hing.

It was just about that time I got knocked out and blinded by a hand grenade. I came to, groggy.

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.