The State of AI in Higher Education
Both industry and higher ed experts see opportunities and risk, hype and reality with AI for teaching and learning.
Matthew Rascoff, associate vice provost for Digital Education and Innovation at Duke University, views the state of artificial intelligence in education as a proxy for the “promise and perils of ed tech writ large.” As he noted in a recent panel discussion during the 2020 ASU+GSV conference, “On the one hand, you see edX getting more engagement using machine learning-driven nudges in courses, which is pretty amazing. But on the other hand, we have all these concerns about surveillance, bias and privacy when it comes to AI-driven proctoring.”
Rascoff identified “something of a conflict between the way this stuff is built and the way it’s implemented.” In his role at Duke, he noted, “It’s really hard to distinguish [in AI] what’s real and what’s not.”