Taking AIME at AI

Integrating Artificial Intelligence in Teacher Education

The AIME Framework

A complete and actionable path for equity-driven, interdisciplinary, and assessment-literate AI integration within teacher education.

AIME Framework Visual Learn More

Resources

Impact

Workshop impact
8+

AI faculty workshops

Introducing foundational AI concepts, raising critical questions around educational ethics and equity, and encouraging open dialogue among faculty.

10

Curricula redesigned

Introducing foundational AI concepts, raising critical questions around educational ethics and equity, and encouraging open dialogue among faculty.

“It is essential that we provide our pre-service teachers with the tools they need to both use AI and help develop the AI related habits of mind of their future students. As a framework, I believe that we have a responsibility to teacher candidates and their future students to provide them with the tools they need to navigate the ever-changing landscape of education.”

— Dr. Jennifer Straub, Associate Dean, Bachelor of Education — Wilfrid Laurier University

“The AIME framework aligns with the Connectivist Learning Theory and has helped me think beyond technical design and into ethical design. The ‘I’ component in particular — Inclusive and culturally responsive integration of AI — has challenged me to consider how in my AI use, I may unintentionally reinforce exclusion through my prompting and my selection of AI tools.”

— Fei Song, Master of Educational Technology candidate — University of British Columbia

“The AIME Framework gave me the language and structure I needed to reimagine my literacy methods course and how and why we integrate AI. I now guide teacher candidates to critically analyze the cultural, ethical, and pedagogical implications of generative AI in writing instruction. AIME treats AI more than just a tool by positioning it as a context to navigate thoughtfully.”

— Professor in Language and Literacy Education, Wilfrid Laurier University

“Before AIME, AI in education felt disconnected — like something we explored in tech electives but not in core pedagogy. AIME bridges that divide. I plan on using it to redesign assessment tasks, integrating AI-supported feedback tools while helping candidates interrogate bias, transparency, and learner agency.”

“AIME speaks directly to what has long been missing in AI conversations. In my social foundations course, I now integrate AI literacy alongside discussions of surveillance, data ethics, and Indigenous knowledge systems. My students are learning to design learning opportunities that use AI. Institutionally, AIME will allow our Faculty to move toward a coherent and decolonial AI integration strategy.”

— Sam McCreedy, Lecturer, Social Foundations and Equity in Education, Master of Educational Technology Program — UBC

“It looks very promising for education training.”

— Andrew Kaiser, Founder/CEO Educated AI, Retired School Principal — Halton District School Board