AI in K-12 Classrooms
AI in the K-12 Classroom
Guidance & Stories for Teaching, Professional Learning, Planning
Students and teachers face complex
challenges alongside the opportunities that AI brings to
learning. To help schools use AI tools ethically and effectively,
SREB offers frameworks to leverage artificial intelligence
for demanding, personalized learning.
On this page, find our full guidance report, our considerations for professional learning, stories from teachers, podcasts, a procurement checklist and other resources for using AI in K-12 classrooms.
A Roadmap for Responsible, Effective AI
Guidance for the Use of AI in the K-12 Classroom
These core pillars can help K-12 educators adopt AI tools thoughtfully and responsibly. Full report >
1. Design cognitively demanding, AI-supported tasks
AI tools can help teachers develop real-world tasks where students use AI as part of the creative and learning process, building critical thinking and problem-solving skills.
Classroom examples: History in West Virginia | AP psych in Delaware
2. Streamline teacher planning and reduce administrative burden
AI can help teachers with planning, grading and communication — giving them more time to focus on student engagement and success.
Classroom examples: English in West Virginia | Biology in Florida
3. Personalize student learning
AI-powered platforms can help teachers differentiate support, automate real-time feedback and customize learning experiences to meet each student’s needs.
Classroom examples: Teacher PD in Delaware | Earth sciences in South Carolina
4. Foster ethical and informed AI use among students
The guide emphasizes critical media literacy and student ethics committees to teach students about bias, cheating, deepfakes and hallucinations.
Classroom examples: Elementary grades in Alabama | STEM in Arkansas and South Carolina

