Visualizing 40,000 student code submissions

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? ;)

Interesting choice of colors - red signifying that all the unit tests pass :-) (that is usually considered "green")

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&#x27;s wallpaper. It&#x27;s got quite a few comments. Still, it was nowhere near as pretty as this.

Looks like a load of Pollocks :)

I don&#x27;t exactly see the value in this visualization. Clustering measures and feature analysis would provide far more insight into what&#x27;s going on here. In fact, it&#x27;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 &quot;approaches&quot; or &quot;strategies&quot;

Probably also allows them to more easily detect cheating on coding assignments.

Very cool visualization, I&#x27;d like to see how this sort of technique could be applied to other real world problems.

And probably a way to find who is cheating and who isn&#x27;t :)