Most retention systems flag struggling students through grades and attendance. By the time those indicators fire, many students are already halfway out the door. Elvee's survey of 1,050 U.S. college students shows why: 86% start college highly motivated, 42% come close to dropping out at some point, and only 17% of those who struggle ever request help.
In this episode of the Changing Higher Ed® podcast, Dr. Drumm McNaughton speaks with Raz Dar, CEO of Elvee, whose work with U.S. colleges centers on reading behavioral data for early signals of student disengagement.
Drawing on his background in commercial technology, Dar explains how patterns in study time, login frequency, and forum participation reveal disengagement before exam period and before failure reaches the gradebook. He and McNaughton examine why motivated students still leave, why institutions that wait for students to ask for help miss most of the students who need it, and why intervention without follow-up monitoring routinely fails.
This conversation is especially relevant for presidents, provosts, student success executives, enrollment executives, and board members looking to move retention from reactive support to proactive, early intervention.
This episode offers a practical look at what becomes possible when institutions stop waiting for students to raise their hands and start reading the signals students are already sending.
Read the transcript: https://changinghighered.com/using-ai-behavioral-signals-student-retention/
#StudentSuccess #StudentRetention #HigherEducation #HigherEducationPodcast #AIforStudentRetention