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Artificial Intelligence: The Impact of AI on Education for All Learners

This publication explores the multifaceted applications of AI in education and special education, underscoring its transformative capabilities while addressing the unique challenges of students with disabilities and other learning needs. Learn more.

Multiple Authors (2024)

The following map depicts the 31 SEAs that met the AI state guidance requirements: AK, AL, CA, CO, DE, GA, IN, KY, LA, MA, ME, MI, MN, MO, MS, MT, NC, ND, NM, NV, OH, OK, OR, RI, UT, VA, VT, WA, WI, WV, and WY. Four states have been noted to have guidance and other reports, but they do not meet the criteria due to a lack of focus on K-12 students or providing a list of resources rather than guidance: AZ, CT, HI, NJ

Emergent Themes of State AI Guidance

Artificial intelligence (AI) integration in K-12 education has gained significant attention in recent years as researchers and educators recognize the potential for AI-powered systems to transform teaching and learning. Currently, there are 19 State Education Agencies (SEAs) that provide AI State Guidance for K-12 Education. Learn more.

Yerin Seung, James Basham, Ph.D., and Angelica Fulchini Scruggs, Ph.D. (2026)

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Framework for Responsible AI Integration in PreK-20 Education

This framework provides a structured and actionable approach for PreK-20 education to adopt AI tools to enhance instructional practices, protect student rights, and empower educators, ensuring technology serves as a tool for human betterment. Read the framework.

James Basham, Ph.D., Eleazar Vasquez, Ph.D., and Angelica Fulchini Scruggs, Ph.D. (2025)

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Leveraging Technologies to Support Research: A Guide for Faculty, Researchers, and Doctoral Students in Special Education

This guide seeks to provide faculty, researchers, and doctoral students in special education with specific tools and use cases that can be leveraged to support and enhance literature reviews, scholarly reading and writing, data analysis, and overall productivity. Learn more.

Samantha Goldman, Ph.D. (2024)

Images of kids in elementary classrooms participating in activities are overlapped with images of devices showing icons representing digital security.

What Every Educator Should Know About Ethics, Data, and Decision-Making When Using AI

Adaptive platforms, assessment systems, writing tools, and IEP workflows are increasingly powered by artificial intelligence, often operating quietly in the background without formal review. This free guide gives educators, school leaders, and teacher educators a practical, research-grounded framework for making ethical, data-informed decisions about AI in education. Download the free guide.

James Basham, Ph.D., Angelica Fulchini Scruggs, Ph.D., Matthew Marino, Ph.D., Jennifer Lohoefener, Ph.D., Lisa Dieker, Ph.D., Olivia Fudge Coleman, Ph.D. (2026)