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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.

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.

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.

United States continues its recovery led by private demand and over the second half of last year the economy expanded at an annualised rate of just over 3 per cent.

The euro area has resumed growth, albeit in a somewhat hesitant fashion and with noticeable differences in performance by country.

A few emerging economies have lately come under pressure,

In fact were the Bank of Japan (BoJ) to step up its current program of quantitative and qualitative easing, it would soon be adding more cash to the global financial system, in absolute terms, than the Federal Reserve.

China's economy grew close to, and in fact a little faster than, the government's target last year. Strong and about equal contributions to growth were made by household consumption and investment. Consumer price inflation continues to be stable.

Recent indicators have shown possible signs of slower growth in the early part of 2014: growth of industrial production slowed; retail sales and passenger vehicle sales moderated; and fixed asse

Australia certainly weathered the financial crisis well, and with a real GDP some 13 per cent larger than it was at the beginning of 2009, compares well with many other advanced countries. It is the case, though, that growth while positive, has been running at a pace a bit below its trend pace for about 18 months now. The rate of unemployment has increased by something like a percentage point over the same period.

strong conditions in the natural resources sector.

n the rest of the economy, households have spent most of the past five years behaving more conservatively, or rather more normally, than they did over a long period up to the mid 2000s when they had been in a very expansive mood. Both consumption and residential construction have been soft for a while.

esources sector's capital spending continues to fall, it

It is unlikely, though, that a pick-up in resources exports, as important as that will be, will be enough to keep overall growth on the right trac

Recent data shows stronger household consumption over the summer. The latest surve

bundant signs of confidence in the housing market

Measures of business confidence have improved over the past six months. Businesses seem, so far, to be taking a cautious approach to investment,

is important to stress that this outlook is, obviously, a balance between the large negative force of declining mining investment and, working the other way, the likely pick up in some other areas of demand helped by very low interest rates, improved confidence and so on, as well as higher resource shipments. The lower exchange rate since last April and the improved economic conditions overseas also help.

On inflation, our view is that it will be a little higher than we thought three months ago