Quite cool when you think about it. Each cluster probably represent a different method for solving the problem. Awesome that it's possible to classify the solutions like this. I think this might be usable for better feedback on Coursera. Cool!
Interesting that the outer edges basically have less occurrence of failed answers. I guess that means that there is a positive correlation between thinking outside the box and success? ;)
Abstract art? Yes. Of the best variety!<p>A couple of years ago, I made some abstract art of the inheritance structure of a large project written in a language with (extensively used) multiple inheritance, there being around 1800 classes. No one was game to produce a 15m-wide, 30cm-high wallpaper (the traditional type) of it, so I just removed the class names, leaving classes just dots and made it my computer's wallpaper. It's got quite a few comments. Still, it was nowhere near as pretty as this.
I don't exactly see the value in this visualization. Clustering measures and feature analysis would provide far more insight into what's going on here. In fact, it's not even clear how large the dominant clusters are or what all of those speckles mean.
I keep meaning to take the machine learning course.<p>This is a great way of using metadata to search for patterns in student assingments. This could detect different "approaches" or "strategies"