Bridging Opportunity Gaps with AI & Tutors

Virtual Session Link

Inequalities in learning outcomes are especially severe in math, a key gateway for 21st century jobs. Personalized instruction has been shown to bridge these opportunity gaps, but the human resource costs are very high. We are combining advanced AI-driven adaptive learning software with human tutors to personalize math learning in Pittsburgh-area public schools. Our effort may lead to culturally responsive, cost effective ways of narrowing these opportunity gaps across the nation.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

Lee Branstetter

Carnegie Mellon University’s Heinz College

Cassandra Brentley

Center for Urban Education at the University of Pittsburgh

Ken Koedinger

Carnegie Mellon University

Stanley Thompson

The Heinz Endowments

Details

Format:

Panel

Type:

Session

Track:

Equity

Level:

Field Experience