Scaling Predictive Analytics for Student Success

Wednesday, October 31 | 12:30PM–1:30PM MT | Board 105, Poster Area, Exhibit Hall B-E
Session Type: Poster Session
Delivery Format: Poster Session
Building predictive models is an active area of learning analytics practice with success at the course level. However, it is less clear what pedagogical practices and data strategies contribute to a generalizable predictive model. We will share insights gained from deploying solutions at one campus and from modeling at multiple campuses.

Outcomes: Interpret the results from these applications of predictive modeling in relation to your own campus context * Identify practices and data points to consider with your own campus to improve predictive modeling * Identify useful learning analytics resources


  • John Fritz

    Assoc. VP, Instructional Technology, University of Maryland, Baltimore County