Design Sprint Preview: Designing AI-Resilient Learning Experiences

Season #1

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