MERC Publications
Document Type
Article
Original Publication Date
2026
Date of Submission
May 2026
Abstract
This research and policy review from the Metropolitan Educational Research Consortium (MERC) explores the implications of artificial intelligence (AI) for teaching and learning in public PK-12 education. It is part of a two part series with a companion report focused on AI implications for PK-12 policy. The report explores two questions:
1. How is AI shaping teaching and instructional practice?
2. How is AI shaping student learning and development?
It concludes with a series of key takeaways and recommendations for PK-12 policy and practice.
Recommended Citation
Naff, D., Ellison, M., Bailey, C., Wang, T.W., & Bradford, K. (2026). AI in PK-12 Education: Implications for Teaching and Learning. Richmond, VA: Metropolitan Educational Research Consortium.
Is Part Of
VCU MERC Publications
Included in
Accessibility Commons, Curriculum and Instruction Commons, Educational Assessment, Evaluation, and Research Commons, Educational Leadership Commons, Educational Methods Commons, Educational Technology Commons, Elementary and Middle and Secondary Education Administration Commons, Elementary Education Commons, Elementary Education and Teaching Commons, Junior High, Intermediate, Middle School Education and Teaching Commons, Online and Distance Education Commons, Other Teacher Education and Professional Development Commons, Secondary Education Commons, Secondary Education and Teaching Commons, Special Education Administration Commons, Special Education and Teaching Commons