Higher education is at a crossroads as institutions across the country grapple with how to approach artificial intelligence in the classroom.Universities have instituted policies around the technology, while some professors have returned to paper tests and taken other measures aimed at preventing students from improperly using AI.However, Harvard University Senior Research Fellow Christopher Dede says they are focusing on the wrong problem, and are not adequately preparing students to face a world in which AI is ubiquitous."The problem is that our educational systems are geared to teaching reckoning and their quality is measured by assessing reckoning, the GRE, the SAT, the LSAT, et cetera, et cetera.
And so what we're doing is preparing human beings to lose to AI as opposed to preparing human beings with skills that complement AI," Dede told Fox News Digital.EDUCATORS WARN AI DEBATE HAS FOCUSED TOO MUCH ON CHEATING, NOT ENOUGH ON STUDENT LEARNINGHarvard Senior Research Fellow Christopher Dede says higher education institutions need to focus on helping students learn to work with AI, rather than how to prevent them from using technology to cheat.(PixelVista via Getty Images)Dede is a seasoned professional when it comes to blending technology and education.
He spent 22 years as the Timothy E.Wirth Professor of Learning Technologies at Harvard before becoming a research fellow with the university.
Dede also served as the chair of the Learning & Teaching program at Harvard Graduate School of Education from 2001 to 2004.Central to Dede's view of AI in higher education is the distinction between "reckoning," or calculative prediction, and "judgment." He traces this back to philosopher Brian Cantwell Smith, explaining that while technology is good at reckoning, humans are good at judgment, making the two complementary rather than competitive.Dede noted that the vast majority of what he has read about AI in education is "about doing things better," such as revamping...