Design Sprint: Designing AI‑Resilient Learning Experiences
AI for Educators Design by Next Path Design
June 15–18, 2026
That assignment you’re worried AI can complete? Let’s redesign it.
Over four days this June, you’ll work through a structured, replicable design process to take one learning experience from AI‑vulnerable to AI‑resilient. You’ll start by diagnosing what’s no longer working and end with a design plan tailored to your learners that clarifies what to change and why.
Why a Design Sprint?
If you’ve ever thought, “I can’t tell if my student or AI wrote this,” you’re not alone. Academic integrity is a symptom of AI integration, not the root problem. When AI can complete a high‑stakes assignment in minutes, that’s not student misconduct. It’s a design challenge.
This Design Sprint is not about AI‑proofing assessments or finding better ways to catch cheating. It’s about designing AI‑resilient learning experiences where:
- Thinking is visible
- The learning process matters
- AI supports learning rather than replacing it
How this Design Sprint Works
This four‑day, cohort‑based Design Sprint is built around a simple sequence:
Discover → Define → Design
You’ll bring one of your own learning experiences and work through a process to:
- Discover: Diagnose where and why the experience is AI‑vulnerable
- Define: Clarify what meaningful learning should look like in an AI‑integrated world
- Design: Explore options, name trade‑offs, and choose a clear design direction
The sprint blends:
- Two one‑hour live sessions*
- Guided design activities to work on independently
- Reflection and peer dialogue
Importantly, this design process is replicable. Once you’ve applied it here, you can use it again for any learning experience you design or redesign.
Schedule
Pre‑Sprint | Asynchronous
Identify an AI‑vulnerable learning experience using two Design Brief worksheets.
Monday, June 15 | Live Session* 1–2 pm EDT: Discover
Clarify where and why the learning experience is breaking.
Tuesday, June 16 | Asynchronous ~1 hour: Define
Audit learning goals and write a clear design challenge statement.
Wednesday, June 17 | Asynchronous ~1.5 hours: Design
Generate design options, identify trade‑offs, and choose a direction.
Thursday, June 18 | Live Session* 1–2 pm EDT: Debrief & Plan
Share and compare decisions, surface patterns, and plan next steps for development and reuse.
* Can't make a live session? No problem. Recordings will be posted.
What You’ll Accomplish
You'll end the Design Sprint with Design Decision Documents for one learning experience based on:
- A clear diagnosis of why it was AI‑vulnerable
- A defined design approach grounded in your learning goals and your context
- A chosen design direction with intentional trade‑offs
- A Discover → Define → Design process you can reuse
Participants who complete the Design Sprint activities will receive a Certificate of Completion.
Is This Design Sprint for You?
This is for you if you teach, design, or lead learning in K–12, higher education, or professional learning, and you want to:
- Redesign assignments that AI can complete too easily
- Move beyond AI detection or bans
- Rethink learning goals in the age of AI
- Improve the clarity and direction of your learning experiences
This is not for you if you want:
- Quick fixes or “AI‑proof” templates
- Step‑by‑step AI tool tutorials
- Ready‑made or finalized lessons
- Credit‑bearing or compliance‑based professional development
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