Podcast Bonus: Summer Design Sprint Preview

If AI can complete your assignment in minutes, that is not a student misconduct problem. It is a design challenge.

In this bonus podcast episode, Jennifer Maddrell introduces the AI for Educators | Design Sprint: Designing AI-Resilient Learning Experiences, which was held over four days: June 15–18, 2026, and included two live sessions + guided design activities + peer dialogue. The sprint is 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

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

Thank you for following along. I’m excited to explore AI alongside you.

– Jennifer