To ensure assessments align with your goals, given the continued emergence of generative AI, consider re-evaluating and adapting your strategies. Begin by rethinking learning objectives: identify which skills can be reasonably offloaded to AI and which require deeper, hands-on engagement. If AI can complete a task, determine whether students should still perform it and why. Where a strong rationale exists, adjust the task to emphasize critical thinking or creativity.

Incorporate scaffolding

Break up assignments into smaller, interconnected parts—such as topic proposals, drafts, and revisions. This not only promotes genuine learning but also makes it harder for AI to generate meaningful outputs. For a practical integration of AI literacy, involve students in assignments that evaluate, refine, or critique AI-generated responses. For example, have them use AI tools, assess their outputs, and revise them to meet academic standards.

Prioritize authentic assessments

Tie assessments to to real-world applications, rewarding effort and learning rather than rote outcomes. Whenever possible, incorporate oral assessments or collaborative projects to gauge understanding in dynamic ways. Finally, ensure your redesign considers equity, privacy, and accessibility, avoiding unnecessary barriers while fostering a supportive learning environment.

The University of Chicago Academic Technology Solutions recommends other small steps faculty can take in discouraging academic dishonesty, such as randomizing quiz questions, setting availability dates for assignments, and enhancing your syllabus.

Back to Main Page (Scroll to bottom of page for links to series) – How to Foster Academic Integrity

This content draws inspiration from the  University of California San Diego Academic Integrity website. They also provide a Reinforcing Academic Integrity in the Age of AI: A Guide for Instructors, which offers additional recommendations for how to craft a GenAI policy for your courses.