Weaving Equity and Artificial Intelligence in Preservice Teacher Education: One Assignment Across Four Courses

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Abstract

This article examines implementation of a interdisciplinary assignment across four mandatory courses in a teacher education program in southern Ontario, Canada. Thirteen instructors across two campuses co-designed and facilitated a shared public service announcement (PSA) video assignment in Fall 2024, with the option to use AI to assist with the video production. Data was collected from weekly instructor reflections, course evaluation comments, and a survey administered to students about the assignment. Findings emphasize how a shared assignment can reduce assessment fatigue, foster meaningful learning, and support faculty professional learning communities. Insights generated fill gaps in teacher education research by examining how collaborative, cross-course assessment models can promote deeper learning while reducing student and faculty burnout.

Authors

• Ardavan Eizadirad, Wilfrid Laurier University

• Keri Ewart, Wilfrid Laurier University

• Ryan Neepin, Wilfrid Laurier University

• Steve Sider, Wilfrid Laurier University