AI-Resistant
Teaching Strategies
✋ What Are AI-Resistant Assignment Strategies?
How can we redesign assignments so AI use has less relevance and student reasoning matters more?
Goals of an AI-Resistant Assignment
AI-resistant assignments significantly reduce the likelihood of students earning high marks from solely AI-generated submissions.
Minimize or eliminate AI-use
Challenge students to think critically
Relieve instructors from AI-policing
Strategy Framework
Require Specificity
Design assignments that mandate unique evidence like timestamps, specific numerical targets, and local context.
How can we redesign assignments so AI use has less relevance and student reasoning matters more?
Design assignments that mandate unique evidence:
• Timestamps
• Specific numerical targets
• Unique case study variables
• Current local date
• Internal course artifacts (course materials, specific lectures)
• Hyper-local constraints (campus/community specifics)
Requiring those specifics exposes generic AI output as incomplete, letting you grade for precision while ignoring AI-generated responses.
Before (Not AI-Resistant)
- - Write a paper (or discussion post) on why effective communication is important in the workplace.
After (AI-Resistant)
- - Using our Week 4 workplace-roleplay recording, evaluate your communication at work:
- - 1.) Pick two timestamps where you helped or hurt clarity.
- - 2.) Identify one specific phrase you used that caused confusion, and rewrite that exact sentence to be clearer.
🎯 Comprehensive Sample Assignments
Complete assignment examples that implement multiple AI-resistant strategies simultaneously.