Aaron Benz
CEO, Founder,
Degree Analytics
Are All Alerts Created Equal? Examples from a Public State University and a HBCU
Wednesday, October 18, 2023 | 1:35PM–1:55PM ET
Session Type:
Breakout Session
Delivery Format:
Simulive Presentation
For several decades, many studies have confirmed the effectiveness of early alerts and early alert systems on improving student persistence and success. Our panel discussion hosted by university IT and Institutional Research leaders from a state public institution and an HBCU will elaborate on promising new enhanced analytical tools and the potential of automated at-risk alerts driven by timely location and behavioral data from the campus Wi-Fi network. Our panelists understood that all at-risk alerts are not created equal. They wanted a deeper understanding of which alerts demanded more attention and which had the greatest impact. What type of alerts require immediate response? How many alerts should trigger an intervention? Who should respond? Which type of alert (class attendance, on-campus time, dining time, time in academic spaces, etc.) is more significant? Does the time of the semester it was generated matter? Our panelists will share their findings on the potential for automated alerts using Wi-Fi data to predict student persistence and provide practical strategies for encouraging student engagement. This session is intended for higher education administrators, IT and IR directors, and academic leaders who are interested in leveraging advanced analytics and gaining a deeper understanding of the role automated alerts play in promoting improved student success.
