Apr 152015
 
 April 15, 2015  Posted by  Youth & Schools

Sophie Quinton writes:

At Georgia State University, algorithms alert advisers when a student falls behind in class. Course-planning tools tell students the classes and majors they’re likely to complete, based on the performance of other students like them. When students swipe their ID cards to attend a tutoring or financial-literacy session, the university can send attendance data to advisers and staff.

Colleges are analyzing all kinds of student data to figure out who needs extra support and when advisers and faculty should intervene. But as technology advances, and students’ offline and online lives become more intertwined, data analytics—particularly, predictive analytics—may raise more ethical questions.

Read more on The Atlantic.

Thanks to Joe Cadillic for this link.

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