Archive for the ‘technology’ Category
Arizona State has been in higher ed news a lot this week. The Atlantic just published a fairly fawning article on ASU’s partnership with Starbucks, featuring trenchant critiques of traditional colleges like, “The customer service is atrocious.”
Today, the news is ASU’s announcement that it will offer its entire freshman year online, through MOOCs. (Just when you thought they were dead!) Here’s the deal: ASU is partnering with EdX, the nonprofit Harvard-MIT collaboration, to produce the MOOCs. Students don’t have to apply, and they don’t have to pay in advance. But after they complete the class, if they decide they want college credit, they can pay ASU $300-600 (the final price is not set) and it will show up on a transcript indistinguishable from any other class.
Of course, people love to hate on ASU president Michael Crow. Dean Dad pointed out that Maricopa Community College, in ASU’s backyard, only charges $250 a credit and provides library access, among other amenities. John Warner focuses on the importance of the first year to student persistence, implying that disadvantaged students will be hurt. Jonathan Rees amps up the rhetoric, calling ASU the first “predator university.”
The Chronicle’s analysis focuses on what it sees as the catch: ASU’s MOOC students won’t be eligible for financial aid. Because students won’t officially enroll until after they’ve completed the MOOC, what they’ve learned is considered “prior knowledge,” making them ineligible for federal aid. ASU admits this is an obstacle, but suggested that “the university hoped to find some way to make aid possible in the future.”
What the Chronicle doesn’t point to, though, is where this road ultimately leads. There’s no way ASU is committing to this if it doesn’t see a pathway to federal aid down the road. Who among the underemployed folks ASU is targeting can cough up $600 to pay for a single course? That’s more than two weeks’ work at minimum wage.
And indeed, noises about how to solve this problem are already being made. Conversations are underway in the Senate about finding ways to give accreditation — and thus access to aid — to “nontraditional providers” like (drumroll…) EdX.
Truthfully, I’m not that worried about ASU and EdX. I think it’s going to prove hard to get the disadvantaged students they’re aiming for to finish MOOCs, even with financial aid, and even with ASU’s well-publicized innovations in data analytics. And I think that the nonprofit EdX, with its close ties to Harvard and MIT, is unlikely to launch a race to the bottom in extracting revenues from students.
But you know who would be happy to suck at the teat of the federal financial aid system? The edutech disruptors, who talk a good game about transforming higher education but will quickly enough start tranforming student loans into company profits once it’s time to raise the next round of venture capital.* When we have the opportunity to channel our financial aid dollars not only to the University of Phoenix but to the Disruptive EduBadge Academy, then we will have fully corrupted the system. The reason, if it needs to be spelled out, is that there is no reason to think that their courses will require learning, that pesky obstacle between them and those tantalizing financial aid dollars.
I’m not anti-technology, or anti-innovation. And I think traditional colleges are deeply flawed. But I am very, very much against expanding the money-laundering side of our financial aid system. And that is the coal mine into which the ASU-EdX canary is being lowered.
* I just Googled “silicon valley edutech” and got the San Francisco EduTech Meetup Group for — you can’t make this stuff up — “connecting folks who are passionate about the education space.”
In my course in introductory sociology, I have a module on health. One lecture describes the leading causes death, across age groups and across time periods. In modern times, one of the leading causes of death is “unintentional injury.” What does that mean? Roughly speaking, the three major categories of unintentional injury death are, in order, falling, auto accidents, and accidental poisoning.
The interesting thing is that these are all types of death that relate to economic development: cars, chemical, tall buildings, stairs and so forth. The other side is that economic development can also help us out. For example, in about one generation, driverless cars will be widespread. The implication is that drunk driving will be eliminated over night and accidents relating to drifting driver attention will disappear overnight. Truck accidents should also disappear. My hypothesis is that computer driven cars will probably be better than most people when they drive in the rain or snow. They might even automatically shut down if conditions are bad enough.
Bottom line: Economic development has unintended consequences. Sometimes they are bad, such as auto related deaths. But development can introduce solutions. The driverless car will be one such example.
Measuring such things is tough, but newly published research reports telling indicators can be found in bursts of 140 characters or less. Examining data on a county-by-county basis, it finds a strong connection between two seemingly disparate factors: deaths caused by the narrowing and hardening of coronary arteries and the language residents use on their Twitter accounts
“Given that the typical Twitter user is younger (median age 31) than the typical person at risk for atherosclerotic heart disease, it is not obvious why Twitter language should track heart disease mortality,” writes a research team led by Johannes Eichstaedt and Hansen Andrew Schwartz of the University of Pennsylvania. “The people tweeting are not the people dying. However, the tweets of younger adults may disclose characteristics of their community, reflecting a shared economic, physical, and psychological environment.”
Not a puzzle to me. I have argued that social media content is often an indicator – a smoke signal – of other trends. Thus, if people are stressed due to environmental conditions (the economy, unemployment), they will have heart attacks and write angry text. The only question is when the correlation holds. For more discussion of the more tweets/more votes/more anything phenomena, click here.
Within informatics, there is a healthy body of research showing how social media data can be used for forecasting future consumption. The latest is from a study by Nielsen, which shows some preliminary evidence that Twitter activity forecasts television program popularity. In their model, adding Twitter data increases the explained variance in how well a TV show will in addition to data on promotions and network type. Here’s the summary from Adweek.
My co-bloggers are on a roll. Zynep Tufekci and Brayden King have an op-ed in the New York Times on the topic of privacy and data:
UBER, the popular car-service app that allows you to hail a cab from your smartphone, shows your assigned car as a moving dot on a map as it makes its way toward you. It’s reassuring, especially as you wait on a rainy street corner.
Less reassuring, though, was the apparent threat from a senior vice president of Uber to spend “a million dollars” looking into the personal lives of journalists who wrote critically about Uber. The problem wasn’t just that a representative of a powerful corporation was contemplating opposition research on reporters; the problem was that Uber already had sensitive data on journalists who used it for rides.
Buzzfeed reported that one of Uber’s executives had already looked up without permission rides taken by one of its own journalists. Andaccording to The Washington Post, the company was so lax about such sensitive data that it even allowed a job applicant to view people’s rides, including those of a family member of a prominent politician. (The app is popular with members of Congress, among others.)
This is not a post about Ello. Because Ello is so last Friday. But the rapid rise of and backlash against upstart social media network Ello (if you haven’t been paying attention, see here, here, here) reminded me of something I was wondering a while back.
Lots of people are dissatisfied with Facebook — ad-heavy, curated in a way the user has little control over, privacy-poor. And it looks like Twitter, which really needs bring in more revenue, is taking steps to move in the same direction: algorithmic display of tweets, with the ultimate goal of making users more valuable to advertisers.
The question is, what’s the alternative? There have been a lot of social network flavors of the month, built on a variety of business models. Some of them, like Google Plus, are owned by already-large companies that would be subject to similar business pressures as Facebook and Twitter. Others, like Diaspora (remember Diaspora?), were startups with an anti-Facebook mission (privacy, decentralization), but collapsed under the weight of their own hype.
I can’t imagine that a public utility model would work for a social network — I just don’t see “government-owned” and “fast-moving technological change” going together successfully. But I keep wondering why a Wikipedia model couldn’t work. Make it a 501(c)3. Attract some foundation funding — it’s a pro-democracy project. Solicit gifts from pro-privacy people in the tech industry — there are lots of those. Then once it’s off the ground, ask users for donations.
Sure, there is the huge, huge hurdle of getting enough of a network base to attract new users. But it seems like the costs should not be insane. If it only takes 200 employees to run Wikipedia, as large as it is, how many would it take to get a big social network off the ground? Facebook employs 7000, but a lot of them have to be in the business of figuring out how to sell Facebook.
Maybe there have been (failed) efforts like this and I just haven’t noticed. Or maybe the getting-the-user-base issue is really insurmountable. But it seems like if a real Facebook alternative is to emerge, it can’t just be from a corporate competitor (e.g. Google), and the startup/VC model (e.g. Ello) is going to be susceptible to all the same problems as it grows. Why not a different model?
Loyal orgtheorista and sociologist Amy Binder has forwarded me this course syllabus for a course at UC San Diego. It is called Soc 211 Computational Methods in Social Science and was taught by Edward Hunter and Akos Rona-Tas. The authors are working on a textbook, the course was made open to a wide range of students, a and it was supported by the Dean at UCSD. I heard people had a nerdy good time. Click here to read the soc211_syllabus.