Lecture Me! Promises and Pitfalls of Using AI for Education

Promises and Pitfalls of Using AI for Education by Professor Philip Oreopoulos from the Department of Economics.

Imagine if we had a world where every student had their own private teacher? Join Professor Oreopoulos as he discusses his work exploring ways to facilitate more personalized education. This would allow the student to progress at their own pace, receive immediate feedback working through math, science, and reading. The teacher could test for understanding and ensure that the student does not move on until demonstrating mastery at each stage along the way. With such an approach every student would be able to reach their full potential and thrive at these topics. But it is too expensive to scale – the challenge with education policy is not that we do not know what to do but that the cost is too expensive. Tutoring can help – there is lots of evidence that tutoring is one excellent way to supplement classroom instruction. But tutoring is also expensive and logistically challenging to scale. There may be an important role for technology to play. Already Computer Assisted Learning can provide a tutoring-type environment, in which students sequentially follow videos and exercises towards mastery. Professor Oreopoulos will discuss ongoing research and results to demonstrate this.

Can't attend the program in person? Attend via live stream. A link will be sent to all registrants before the program.

Event Venue & Nearby Stays

Hazel McCallion Central Library, 301 Burnhamthorpe Road West, Mississauga, Canada

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