Providing personalized feedback to students in large courses can be daunting. Using data on student engagement and performance and Mail Merge, Adam Brummett, a faculty member in Chemistry, and the Office of Teaching, Learning & Technology designed a method to easily craft hundreds of targeted feedback messages that encouraged metacognition related to studying and performance. 

In this presentation, we'll share the process for developing personalized messages to students utilizing existing data and how the messages affected students’ behavior in a first-year chemistry course. We’ll also introduce the instructional analytics dashboard and explain how it informed the creation of the targeted messages.