Wednesday, October 31 | 12:30PM–1:30PM MT | Board 105, Poster Area, Exhibit Hall B-E
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
Assoc. VP, Instructional Technology, University of Maryland, Baltimore County