AI Implications for Teaching, Learning, and Policy

In this episode of Abstract we spoke with researchers and leaders from school divisions and state agencies to discuss the implications of artificial intelligence (AI) for teaching, learning, and policy. The discussion was grounded in two MERC reports exploring the topic through research literature as well as policy at the state and school division level. Guests include Jon Becker (Associate Professor of Educational Leadership - Virginia Commonwealth University), Calypso Gilstrap (Executive Director of the Office of Innovation - Virginia Department of Education), Sidney Gunter (Director of Academic Programs and Supports - Richmond Public Schools), Jesse Senechal (Executive Director of the Institute for Collaborative Research and Evaluation - Virginia Commonwealth University) and Matthew Stanley (Senior Advisor for Advocacy and Policy - Richmond Public Schools). Hosted by MERC Director David Naff. MERC reports: https://merc.soe.vcu.edu/reports/reports/ai-in-pk-12-education-implications-for-teaching-and-learning.html https://merc.soe.vcu.edu/reports/reports/ai-policy-in-virginia-public-schools-a-comparative-analysis.html VDOE resources: https://www.doe.virginia.gov/programs-services/school-operations-support-services/technology-in-education