September 27, 2019
12:00pm to 1:00pm
Wegmans Hall, 1400 (auditorium)
250 Hutchison Rd, Rochester, NY 14620
Given current and forthcoming transformative applications of AI in the workplace, K-12 schools are coming to appreciate the need to introduce all students to AI before they go to college – yet there are many challenges to be overcome before AI becomes part of the K-12 curriculum. Building on the combined expertise of UR faculty in computer science and education, this session will provide the foundations for a discussion engaging the audience on what key AI concepts should be taught and learned in high school; whether this content should be part of the computer science, mathematics, or science curriculum; and, how AI could be made more accessible to students with limited math and computational backgrounds. The session will also encourage a conversation about how learning about AI in high school may promote students learning in STEM – as well as other subjects.
Presenters: Zhen Bai, Raffaella Borasi, Michael Daley, Dave Miller