Logging Off the LMS, Dropping Out - Paul Fain, Inside Higher Ed

Hard data on which students are failing to use learning management software can help colleges intervene to boost retention rates. Knowing how often college students log onto learning management software is one of the best ways to predict whether they will stick with their studies or drop out. That finding, which comes from a trove of data collected by Civitas, an education technology company that does predictive data analytics, might seem like common sense: students who don’t do their course work are less likely to graduate. But engagement data from learning management systems (LMS), said officials at colleges that are clients of Civitas, can be sliced and diced to much better predict which students are likely to struggle, and for colleges to act on that information. https://www.insidehighered.com/news/2016/06/13/data-student-engagement-lms-key-predicting-retention