AI in Education: What the Research Says (and What It Doesn’t)

27 Jan 2027
School Leaders
Much of the conversation about AI in education is driven by headlines, assumptions and anecdotes rather than evidence. This round table discussion explores what current research actually reveals about AI's impact on teaching, learning, writing, critical thinking and student engagement. Using an interactive myth-versus-reality format, participants will examine common concerns, including cognitive offloading, academic integrity, writing development and critical thinking, comparing prevailing beliefs with recent research findings and discussing the implications for classroom practice and school leadership. Rather than advocating for or against AI, a principal and an AI coach offer a balanced, evidence-based perspective and translate emerging research into practical strategies. You will learn which concerns are supported by evidence, which remain unresolved and how instructional design influences outcomes. Leave with approaches for structuring AI use, supporting productive cognitive engagement and developing evidence-based policies and professional learning you can apply immediately.
Speakers
Amelia Zaiser
Amelia Zaiser, Co-Founder, Campus AI Coach, and Teacher - 4 Pillars Learning Lab
David Dunn
David Dunn, Principal - Shadow Hills High School

Access Type

All Registration Types Permitted

Content Topic

Professional Development

Curriculum Area

Professional Development

Session Type

Leadership Round Tables

Education Challenges

AI Guidance Policy Implementation Strategy,AI Guidance Policy Implementation Strategy,AI Guidance Policy Implementation Strategy,AI Guidance Policy Implementation Strategy

EdTech Product

Educator Curriculum & Instructional Technology,Future Learning Technology (STEAM),Student Learning Technology