AI can make learning easier—but should it? If AI simplifies access to information, explanations, tutoring, and test prep, what should learning demand more of from students and teachers?
In this thought-provoking webinar, leaders from Stanford’s Digital Media Academy and CoSN leaders explore how district systems and AI design choices can either raise expectations or quietly limit powerful learning. Looking back at 2025, one lesson is clear: so-called “soft skills” like deep reading, collaboration, mentorship, self-regulation, and independent thinking have become hard requirements.
Join us to examine:
- How AI can shift learning from busywork to problem-solving, creativity, and critical thinking
- Why collaborative AI tools matter as much as individual support
- How interfaces, agents, and dashboards shape engagement beyond the chatbot
- Where trust, ethics, and transparency must guide system-level decisions
This session is for district leaders who want AI to amplify meaningful learning—not just automate it.
Presenters:
Stacy Hawthorne, Ed.D., CETL®, CoSN Board Chair, Chief Academic Officer, Learn21 (OH)
Richard Charles, Ph.D., GSP, Chief Information Officer, Denver Public Schools (CO)
Glenn Fajardo, Chief Learning Officer, Digital Media Academy (CA)
John C Mitchell, Ph.D., Professor of Computer Science, Stanford (CA)
