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Companion Guide

Rethinking Course and Assessment Design in the AI Era

10 Pages

By Jocelyn Wright, PhD & Geri Atanassova-Boft, PhD · Six Red Marbles

A practical guide and working toolkit for faculty, instructional designers, and academic leaders — companion to the April 28, 2026 Inside Higher Ed webinar.

What Counts as Meaningful Evidence of Learning Now?

AI has changed the conditions under which students learn and complete coursework. The question nearly every campus shares: when AI can perform many traditional academic tasks, what should we be asking students to do instead?

This guide offers design principles, practical tools, and starting points you can adapt regardless of where your institution currently stands. The aim isn't perfectly AI-proof assessments — it's assessments that generate better evidence of student thinking, judgment, and learning.

What's Inside

  • •A mental model for what AI accelerates vs. what requires human judgment
  • •Three practical design moves with concrete examples
  • •Assessment Realignment Checklist (fillable tool)
  • •Faculty Conversation Starters
  • •The "Instead of/Try" assessment redesign table

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