Design Sprint Preview: Designing AI-Resilient Learning Experiences

If AI can complete your assignment in minutes, that is not a student misconduct problem. It is a design challenge. In this Design Sprint Preview, Jennifer Maddrell introduces the AI for Educators Design Sprint, a low-pressure, guided experience for educators, instructional designers, and learning leaders who want to redesign one AI‑vulnerable learning experience for an AI‑integrated world. Instead of seeking ways to AI-proof your assignment, this sprint begins with a more fundamental design question: What do you want learners to know and be able to do? From there, you’ll work through a practical, repeatable design process to move from diagnosis to intentional redesign. Jennifer shares her own example of a graduate‑level annotated bibliography assignment, and walks through how she: Diagnosed its vulnerabilities Clarified the real learning goals Redesigned the task to make student thinking visible in ways AI cannot easily replicate AI for Educators Design Sprint Schedule: Four Days: June 15–18, 2026 Registration: 69 USD Two live sessions + guided design activities + peer dialogue = ~5 hours Learn more and enroll: https://nextpathdesign.com/join 00:00 Welcome and Overview 01:35 Why This Design Sprint 02:35 My Path to Next Path 06:06 Programs and Community 09:30 AI Vulnerable vs Resilient 16:40 Design Sprint Framework 20:46 Annotated Bibliography Example 23:42 Schedule and How It Works 25:46 Q&A and Wrap Up