Based on the data compiled by Signals, the solution displays a red, yellow, or green signal to students and faculty, indicating a student’s achievement status in a course in real time.

A red light indicates a high likelihood of failing; yellow indicates a potential problem of succeeding; and green signals a high likelihood of student achievement.

Students view the signal within the institution’s learning management system and also receive it via eMail. Along with the signal, students receive suggested resources and recommended courses of action from faculty as needed.

John Campbell, associate vice president for academic technologies at Purdue, said Signals can catch struggling students as early as two weeks into the start of their college education.

“The predictive model in Course Signals gives students a good indication very early in the course of how they are performing and whether they are starting to lag behind others in the class. This very early alert to the student is extremely valuable, even in populations where you might not think it is necessary,” Campbell said.

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