AI Across the Curriculum
A human-centered approach to integrating AI into engineering education
Tandon has an AI strategy: build a human-centered infrastructure that first assesses what our faculty and students need, and then addresses those needs. Coordinated centrally, tailored by discipline. The initiative is led by Julia Stoyanovich, Associate Dean of AI Initiatives.
The strategy is participatory by design: the people a policy or a course will serve help shape it. In Spring 2026, every Tandon program assessed how AI is affecting its courses and submitted a strategy. Across the school, one finding dominated: faculty’s central concern is not cheating, it is learning, students submitting correct work they do not understand. Over Summer 2026, three faculty working groups, Policy, Survey, and Resources, turned those strategies into shared instruments: workable AI-use policy language any instructor can adopt, a school-wide measurement of how students actually use AI, and a shared repository of teaching materials. This fall, students joined the deliberation: in two pilot courses, about 240 students debated and voted on their own course AI policies.
This fall, the work is reaching classrooms across Tandon through a faculty development course designed to help instructors integrate AI into their teaching.
AI-Use Policy Guide
Protecting Learning: A Practical Guide to AI-Use Policy for Instructors, Departments, and Schools