The Future of Edtech: Building Better AI for Schools
AI showed up in your schools before anyone wrote a policy for it. Eighty-five percent of teachers and 86 percent of students say they use it, while only five percent of superintendents have set AI policies.
This guide gives K-12 district leaders practical guidance for forming an AI strategy, including questions to ask vendors, risks to watch, and what good AI looks like when it's tied to curriculum, data governance, and student learning.
What district leaders will find
The ebook walks through where AI adoption actually stands and how to judge a tool by its effect on learning.
- Size up the distance between AI use and AI policy, using research from RAND, the Center for Democracy & Technology, Common Sense Media, and Instructure.
- Evaluate any tool against the five risks that matter most in K-12: less learning, weaker teaching, equity gaps, student data privacy, and ad hoc adoption.
- Ask vendors the questions that separate real evidence from a demo, including what student data a tool touches and where human oversight sits.
- Compare what good looks like against the AI your schools run today.
- See how Canvas by Instructure, Mastery, and IgniteAI handle AI at the platform level instead of feature by feature.
Let's make clear standards today, so we have clear pathways for safe and effective teaching and learning experiences tomorrow.
