The Rage For MOOCs 109
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?'"
Not about technology (Score:5, Insightful)
The article (Score:5, Insightful)
It's not about education, it's about credentials (Score:2, Insightful)
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.
Re:The article (Score:5, Insightful)
Who cares if you have a huge dropout rate? You'll still have a completion rate that is way more then any conventional class and even the dropouts will have learned something.
The education system has built a big blind process that isn't about learning. It is about the process. If you happen to learn at the rate that the info is fed to you and if the process intersects with your learning style then you are great. If you learn faster or slower or in a different fashion then the accepted process you are screwed.
Re:Not about technology (Score:5, Insightful)
Re:The article (Score:4, Insightful)
One of the online courses I've signed up for (a personal finance class) seems to REALLY get this point. The instructor specifically calls out the different segments of the course and suggests that some students may only be interested in certain topics, and that's perfectly fine with him if they only participate in the parts they want. From the standpoint of a traditional class, it's a "failure" if you only show up for a third of the lectures and only do a third of the homework, but it strikes me as a perfectly acceptable approach with a free online class.
As more people catch on to that kind of approach, we're going to need other kinds of metrics for determining if students had a satisfying experience from a class, based on things other than a simple "did they pass?"