It’s a pivotal time for artificial intelligence in higher education. More instructors are experimenting with adaptive-learning systems in their classrooms. College advising systems are trying to use predictive analytics to increase student retention. And the infusion of algorithms is leading to questions—ethical questions and practical questions and philosophical questions—about how far higher education should go in bringing in artificial intelligence, and who decides what the algorithms should look like.
 

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