Classroom AI Policies

A workshop titled "Mini-Workshop: Classroom AI Policies" originally presented for CAT+FD on 27 January 2026 by Dr. Jason Todd

Abstract

Developing effective classroom AI policies requires moving beyond a simple binary of permission or restriction to a nuanced framework that considers specific course goals, institutional context, and the enhancement of student learning. Because a student’s personal ethical framework often influences their behavior more than mere awareness of rules, policies should prioritize educational transparency by clearly explaining the "why" behind boundaries and connecting them to disciplinary norms and learning outcomes. Instructors are encouraged to tailor policies for individual classes rather than applying a universal standard, acknowledging that AI can range from an academic integrity violation to a powerful research and editing tool depending on the assignment's purpose. As technology and institutional support systems evolve, maintaining an ongoing dialogue with students about ethical use and professional relevance ensures that these policies remain flexible and effective in fostering meaningful learning.

Resources

• File:Classroom-AI-Policies.pdf

References

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