The Rage For MOOCs
An anonymous reader writes "Ever since Stanford's Sebastian Thrun and Google's Peter Norvig signed up 160,000 people for their online artificial intelligence course last year, educators and entrepreneurs have been going ga-ga for 'MOOCs' — massive open online courses. A new article in Technology Review, The Crisis in Higher Education, gives a balanced overview of the pluses and minuses of MOOCs as well as some of the technical challenges they face in areas like machine learning and cheating detection. The author, Nicholas Carr, draws an interesting parallel with the 'correspondence course mania' of the 1920s, when people rushed to sign up to take courses by mail. 'Four times as many people were taking them as were enrolled in all the nation's colleges and universities combined.' That craze fizzled when investigations revealed that the quality of the teaching was poor and dropout rates astronomical. 'Is it different this time?' asks Carr. 'Has technology at last advanced to the point where the revolutionary promise of distance learning can be fulfilled?'"
The issue is not technology, it is teaching methodology. It is not clear if we have developed teaching methods that are appropriate for large online courses, or even for small courses.
Palm trees and 8
It's a faulty assumption that lack of technology caused high dropout rates in during the correspondence craze of the 20's. The real issue is that a low entry cost coupled with a lack of requiring people to attend a physical room or building means that walking away doesn't involve any walking. You simply don't watch anymore. It's as easy as changing the channel on the TV. Essentially you're commoditizing education. Without a requiring a large investment of cash, all but the most serious students students feel no remorse about walking away.
If you just wanna learn, all you need is a good textbook, and some patience.
Or you could watch a video or read some shit on the internet, or whatever.
Learning isn't really that hard to come by.
If, on the other hand, you want to have evidence showing that you do, in fact, know the material, then it gets much trickier.
It's particularly tricky to automate, since it's intrinsically an arms race between students and testers.
The usual approach for automating decision problems is heuristic + blacklist + whitelist.
We can't really whitelist anyone, since generating a whitelist is, itself, the whole point. Your college diploma is the whitelist entry.
We can blacklist people, but only if they get caught, and it doesn't work all that well if they can just retake the course at no extra cost.
We can't use heuristics because with so much at stake, the students are highly motivated to cheat, and will exploit any weakness they can find.
The heuristic will quickly be broken and the whole thing goes to shit.
So basically, we go nothing that works here.
The traditional solution is tests taken in a controlled environment, under supervision of paid humans, with harsh punishments for cheating.
So far, I've yet to see any alternative to that, regardless of computers or the internet.
There is no breakthrough in sight.