
Navigating the AI State Guidance in Education
Authors: Yerin Seung; info@ciddl.org
Associated material: CIDDL Office Hour: AI State Guidance
[embedyt] https://www.youtube.com/watch?v=lBAxvuHn7OU[/embedyt]
As artificial intelligence (AI) continues to expand and influence various fields, educators are increasingly interested in learning how AI can and should be integrated into K-12 classrooms. The Center for Innovation, Design, and Digital Learning (CIDDL) recently hosted the AI Office Hours on April 1st, 2025, and explored this very question. Led by Yerin Seung and Dr. James Basham from the University of Kansas, the session focused on the current state of AI guidance at the state level, highlighting what themes are emerging, where the gaps lie, and how the field can move forward.
State AI Guidance and Common Themes
Over the past year, CIDDL has monitored and analyzed official AI guidance documents for K-12 students from state education agencies (SEAs). To qualify for our criteria, the documents had to be endorsed by states and explicitly address guidance focusing on K-12 students, not merely curating AI resource lists or training for staff. As of February 2025, 22 states have released guidance that met CIDDL’s criteria. These are highlighted in the map of CIDDL’s downloadable resources with the links to each state’s guidance. Among these, 15 states explicitly mention students with disabilities, a critical area of focus for CIDDL. Through this analysis, eight recurring themes emerged: 1) AI for personalized learning, 2) potential benefits of AI, 3) potential to enhance accessibility, 4) potential risks of AI, 5) ethical use of AI, 6) need for ensuring equal access, 7) need for human training and support, and 8) advocating for K-12 policy development.
Major Issues and Unresolved Questions
Seung addressed that despite the promising direction of state-level AI guidance, several critical issues have emerged and require further attention. One significant gap is the lack of practical instruction in AI literacy. Although many state documents emphasize the importance of teaching both students and educators about AI, few offer frameworks and practical strategies to support this instruction in the classroom. Another concern is around cognitive development. There is limited research and guidance on how early and frequent exposure to AI tools may affect students’ learning processes and thinking skills over time. Key questions remain unanswered, such as what age is appropriate to introduce AI in education and how reliance on AI might shape long-term cognitive and academic growth. In addition, the tension between academic integrity and instructional innovation presents a complex challenge. While some states approach AI cautiously, emphasizing the need for strict guidelines to prevent plagiarism and misuse, others advocate for reimagining how assessment and learning should look in the age of AI. As Dr. Basham noted during the webinar, this debate is reminiscent of the earlier controversies around calculators in math education—raising the question of when and how to embrace new technology without undermining essential learning.
Questions from the Field
The Q&A session brought valuable discussions connecting the guidance, research, and field. One question focused on how AI could help reduce the workload for special education teachers. Dr. Basham shared his experience of how it fundamentally reshaped the teaching and learning mechanism. By using customized AI tools to plan instruction, generate classroom simulations, and facilitate data-driven decision-making, educators can create more dynamic, personalized, and engaging learning experiences that would be difficult to design without AI support. One of the participants also shared several practical examples, such as using AI tools to draft individualized education program (IEP) goals, write present levels of performance, schedule IEP meetings, and generate differentiated instructional materials. These tools not only saved time but also enhanced the quality of their work by streamlining complex and repetitive tasks.
Keep the Conversation Going!
How can teachers and students use AI effectively and responsibly? Share your thoughts and experiences in our community.
CIDDL Resources Introduced During the Office Hour
- Emergent Themes of State AI Guidance
- Artificial Intelligence for IEP Development
- Multi-Agent Systems for IEP Development
- Artificial Intelligence: The Impact of AI on Education for All Learners
- Discussing How AI Can Support Special Education Teacher Workload with Your Pre-service Teachers
- Artificial Intelligence to Help Special Education Teacher Workload
