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One of the main problems the author has with Coursera or EdX is that it is "too fast". To address this problem, I urge the author to try Udacity [0]. You can se
by denzil_correa 14y ago
One of the main problems the author has with Coursera or EdX is that it is "too fast". To address this problem, I urge the author to try Udacity [0]. You can set learning at your own pace.
That said, not all material on Coursera is "amazing". Some of the classes have very high completion rate like Functional Programming with Scala has a 19.2% completion rate [1]. Similarly, the class taken by Andrew Ng on Machine Learning is fantastic. However, many of my peers had bad reviews on Daphne Koller's Probabilistic Graphical Models class. Last year, I myself registered for one of these MOOC's and found that half of the course was good while the other half was quite bad - both halves had different professors.
At some point of time, universities would have to realize that great researchers do not make great teachers. Some excel in both - researching & teaching while some in just one of those two fields.
PS - Other problems on reengagement do stand though.
[0] https://www.udacity.com/ https://www.udacity.com/
[1] http://www.katyjordan.com/MOOCproject.html http://www.katyjordan.com/MOOCproject.html
- DennisP 14y agoKoller's class is difficult, but it's a graduate-level CS class with almost all the same material as the class at Stanford. I thought she taught it well. It was rough, and I didn't make it through the whole thing the first time, but I'm back to try again.
- denzil_correa 14y agoKoller's class is difficult, but it's a graduate-level CS class A graduate level class is not a guilt-free pass to make it "difficult". A course no matter what level, should be engaging and challenging. It need not be difficult to be an engaging course.