Home Events How Can AI Improve Educational Outcomes in the United States?

How Can AI Improve Educational Outcomes in the United States?

by Gillian Diebold

Advances in artificial intelligence (AI) are creating opportunities to improve K-12 education. Personalized learning applications can increase student engagement in the classroom and close learning gaps, while AI tools can help teachers reduce their workloads, design better interventions, and reduce burnout. But there are a number of technical, operational, and social challenges that stand in the way of widespread AI usage in schools. Moreover, policymakers have not yet embraced a strategic vision of AI to ensure effective deployment of the technology in the classroom. 

Join the Center for Data Innovation for a panel discussion about the ways policymakers can address existing concerns while supporting AI use by students, teachers, and administrators.

Date and Time:

  • May 24, 2022, from 1:00 PM to 2:00 PM (EDT)


  • Jeremy Roschelle, Executive Director of Learning Sciences Research, Digital Promise
  • Michelle Zhou, co-founder and CEO, Juji
  • Sharad Sundararajan, co-founder and Chief Software Officer, Merlyn Mind
  • Lynda Martin,  Director of Learning Strategy for Strategic Solutions, McGraw Hill
  • Gillian Diebold, Policy Analyst, Center for Data Innovation (moderator)

Additional panelists to be announced.

Register for the video webinar.

Have questions for the author? Submit them on Slido.

Follow @DataInnovation and join the discussion on Twitter with the hashtag #datainnovation.

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