Will AI Exacerbate or Help Remedy Inequities in K-12 Education? K-12 Leaders’ Perspectives?

• In Event: Virtual Poster Session
  In Virtual iPresentation Only: Division A - Section 3: School and District Improvement Virtual Poster Session

Abstract

Using interview and survey data gathered over the 2023-24 school year, we report on K-12 leaders’ perceptions about how using AI in K-12 schools may contribute to exacerbating or remedying current inequities, and then draw some recommendations for practice. This study shows that several K-12 leaders have already gained a nuanced awareness of both positive and negative implications of AI for two key dimensions of equity in K-12 education - the digital divide and inclusive education. This, in turn, suggests the need for K-12 leaders to take into consideration both “missing the boat” and “sinking the boat” risks with respect to equity when evaluating proposed AI-based innovations for their schools.

Authors

• Raffaella Borasi, University of Rochester

• Karen J. DeAngelis, University of Rochester

• Sharon Mason, Rochester Institute of Technology

• Patricia Vaughan-Brogan, University of Rochester

• David E. Miller, University of Rochester

• Yu Jung Han, University of Rochester