Using Laurier’s AIME Architecture in Teacher Education and the Classroom
As generative AI becomes increasingly present in classrooms, new teachers face an important question: How can AI support teaching and learning without replacing students’ thinking, creativity and judgement?
In this interactive webinar, Wilfrid Laurier University professors Dr. Julie Mueller and Dr. Keri Ewart introduce AIME (Advancing Inclusive and Ethical AI Integration in Education), a practical architecture for making informed decisions about AI in the classroom. Through its four interconnected pillars — Adaptive, Inclusive, Multiple Literacies and Ethical/Experiential — participants will explore how to approach AI with intention, curiosity and a critical lens.
This hands-on session invites educators to examine a realistic classroom scenario, consider where AI adds value or presents challenges, and apply the AIME architecture to strengthen a learning activity. Participants will leave with a practical framework and an actionable strategy for integrating AI while keeping student learning and teacher judgement at the centre.
Key takeaways
- Understand the four AIME pillars and how they guide classroom decisions about AI.
- Recognize opportunities and risks when using AI in relation to student thinking, inclusion and ethical practice.
- Apply AIME to a classroom activity to make purposeful decisions about when, why and how AI can support learning.
