AI in the classroom
What teachers actually need to know about AI, how to design assignments that hold up, and how to move from curiosity to confident daily use.
I run sessions on AI implementation, assignment design, and EdTech strategy for schools and conferences. My talks come from 15 years of hands-on work across four continents, current research from my M.Sc. at Brown on how secondary-school educators adopt and integrate AI into their teaching practice, and the daily reality of running EdTech inside a school.
What I talk about
What teachers actually need to know about AI, how to design assignments that hold up, and how to move from curiosity to confident daily use.
How schools move from one-off AI conversations to coherent policy, readiness benchmarks, and implementation plans that survive contact with classrooms.
The research behind my assignment design system, what 358 students taught us about how they use AI, and practical frameworks teachers can use tomorrow.
LMS migrations, platform evaluation, tool vetting, and building internal systems that actually serve teachers instead of creating more work.
How educators and school leaders can use AI tools — including vibe coding — to build solutions for their own schools, from dashboards to workflows to rapid prototyping, and how to actually secure what they ship.
Sample talks
A research-backed session on redesigning lessons so AI becomes a thinking partner, not a shortcut. Based on original research from Brown and my assignment design system.
Most schools aren’t stuck because of bad policy. They’re stuck because nobody has mapped readiness across curriculum, faculty confidence, and infrastructure. This session walks through the diagnostic and what to do with the results.
How educators can use AI to build the tools their schools actually need, faster than waiting for a vendor. Real examples from a real school.
Session themes
I run workshops for educators and school leaders. Sessions range from small faculty groups to 100+ participants, delivered in person, virtually, or hybrid.
getting started, advanced workflows, automation, understanding machine learning and AI, AI-assisted graphic design, vibe coding, and more!
how AI can support teachers, research-based AI use in the classroom, and assignment design in the age of AI
Canvas, Google Classroom, Google Apps for Education, and other LMS systems
project-based learning, inquiry-based learning, mobile learning, and makerspaces
cybersecurity for schools, 1:1 device programs, and EdTech tool evaluation
human-centered design, instructional coaching, and technology leadership for school administrators
designing assessments that hold up when students have AI, academic honesty frameworks, and moving from detection to better assignment design
About the speaker
Short bio (for programs and event pages)
Chris Meehan is an education technology leader with 15 years of experience across classrooms, nonprofits, and global EdTech programs. He holds an M.Sc. in Technology Leadership from Brown University, where his research focused on how secondary-school educators adopt AI, and an M.A. in Education from Loyola Marymount University. He currently leads academic technology at Berkshire School, where he manages the school’s EdTech infrastructure, trains faculty on AI and EdTech tools, and teaches AP Environmental Science. Previously, he served as Program Director at Team4Tech, leading 50+ EdTech projects across 18 countries with partners including Adobe, Salesforce, Visa, and Zoom.
One-liner (for slides and intros)
Chris Meehan leads academic technology at Berkshire School and researches AI adoption in secondary education. He’s spent 15 years making technology work inside schools across four continents.

Headshot (portrait)
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