AI Integration as Instructional Design: Lessons from a Cross-Institutional Faculty Collaboratory in Teacher Preparation
ORCID
Bondurant: https://orcid.org/0000-0001-8069-2382
MSU Affiliation
College of Education; Department of Teacher Education and Leadership
Creation Date
9-14-2026
Creation Date
2026-09-14
Abstract
This research agenda is informed by two years of representative survey data from American Teacher Panel, establishing priority directions for generative AI in K-12 mathematics and science education. While adoption has expanded rapidly among educators, usage remains predominantly teacher-facing and centered on instructional planning, revealing critical structural gaps in guided student learning, assessment evaluation, professional development, and district policy. Moving beyond perception-based surveys, the agenda establishes six core priority areas and five cross-cutting commitments—emphasizing objective classroom artifacts, observational metrics, and domain-specific tool design—to mobilize researchers, developers, district leaders, and funders in building actionable, rigorous evidence ahead of entrenched educational practice.
Keywords
generative AI, K12, mathematics education, science education, instructional planning
Publication Date
Fall 9-14-2026
Publisher
University of Washington
Recommended Citation
Liu, A., Zeller, A., Traynor, A., Sarmiento-Quezada, A., Walkington, C., Holtz, E., Pai, G., Lee, H., Sun, L., Bondurant, L., Burnett, S., Casey, S., Girtz, S., Sun, M. (2026). AI integration as instructional design: Lessons from a cross-institutional faculty collaboratory in teacher preparation. AmplifyGAIN Center. https://www.amplifylearn.ai/epp-collaboratory/
