Incorporating data-mining and analysis tools, Course Signals not only predicts how well students are likely to do in a particular class, but can also detect early warning signals for those who are struggling, enabling an intervention before problems reach a critical point. Results so far are impressive. According to data released by Purdue last month, six-year graduation rates are up 21.48% since the project’s start, while grades for those students who use Signals in two or more classes are improved significantly next to those who don’t.
This Algorithm Can Predict Your Success At University ⚙ Co.Labs ⚙ code community (via infoneer-pulse)