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