Category: AI in Education

State AI guidance for schools
A 2026 overview of state K-12 AI guidance: how many states have issued guidance, which mandate district policies, the legislative wave, and what it means for districts.
AI acceptable use policy in a classroom
An AI acceptable use policy defines how students and staff may use AI tools. The sections to include, sample language, and how it differs from a full district AI policy.
District AI policy for schools
A district AI policy sets the rules for AI use in schools. What it must cover, the states now requiring one, and a step-by-step process for adopting a sound policy.
AI tools for schools: a teacher and young students using laptops and tablets in class
AI tools for schools: the main categories of K-12 AI, how to evaluate them for safety and fit, and where speaking practice for English Learners fits.
COPPA and AI: young elementary students using tablets with close teacher supervision
COPPA and AI: what COPPA requires for under-13 students, how schools can give consent, and how districts vet AI tools for young learners.
FERPA and AI: a school leader and teacher reviewing student data privacy on a laptop
FERPA and AI: what FERPA requires of AI tools in K-12, how the school official exception applies, and how districts vet AI vendors for compliance.
AI safety in schools: a teacher supervising young students using devices safely
AI safety in schools: student data privacy, bias, age-appropriate design, and the state and district AI policies K-12 leaders must align with in 2026.
AI tutor: a young English learner practicing speaking one-on-one with an AI tutor
What an AI tutor is, how it works, the evidence, and how K-12 districts use AI tutors for English Learners.
Conversational AI in education: a young student doing speaking practice with an AI companion as the teacher supports
Conversational AI in education: what it is, how it differs from chatbots, where it helps in K-12, and how districts adopt it safely for English Learners.
Personalized learning with AI: a teacher supporting young students at individualized activities
Personalized learning with AI: how adaptive practice and feedback individualize instruction at scale, what the evidence shows, and how districts adopt it.