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FLO MicroCourse: AI-Resilient Assessment Design Sprint

April 27 - May 1, 2026
Online

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This FLO MicroCourse uses a design sprint approach to help educators redesign a single assessment into AI-resilient versions. Here, AI-resilient means assessments structured so students cannot fully outsource the work to GenAI without engaging in critical thinking, decision-making, and authentic learning. The MicroCourse follows a five-step sprint approach: understand & empathize, define & frame, ideate & create, prototype & refine, and rest & pitch. Participants will apply sprint methods such as 鈥渂uild to think鈥� prototyping, and structured peer-reviewed testing.

Over five days, educators will complete guided asynchronous sprint work, supported by two synchronous sessions designed to build community, strengthen collaboration, and facilitate open peer feedback.

By the end of this course, participants will be able to:

• Identify AI-related vulnerabilities in assessment tasks and clarify the learning outcomes the assessments are intended to measure. Apply sprint methods to ground assessment decisions in learner needs and real-world learning contexts.
• Generate and prioritize multiple redesign options that support meaningful learning.
• Prototype an AI-resilient assessment and refine it through structured, constructive peer feedback.
• Publish the redesigned assessment as an OER contribution to an AI-resilient assessment bank that supports teaching and learning.

While most of the learning will happen asynchronously, we are offering two optional synchronous sessions:

• Monday, April 27, 2026, 2:00鈥�3:30 p.m.
• Wednesday, April 29, 2026, 11:00 a.m.鈥�12:30 p.m.