Redesign Assessments for an AI World
META gives faculty a four-step formula—Metacognition, Ethics, Tools, Application—so assignments stay rigorous, authentic, and future-proof, even with AI is in every pocket. The META AI Assessment Redesign is a vital part of our teaching with AI certifications.
Quick Start for Faculty
✔️ Rethink how you assess learning in a world where AI is ubiquitous
✔️ Balance innovation with academic integrity using our structured META model
✔️ Get faculty and instructional designers aligned on meaningful, AI-aware assessment design
Why It Matters
Traditional Assignments Are Breaking Down
74 % of instructors report AI-generated work in 2025—yet only 18 % feel confident adjusting assignments.
AI tools like ChatGPT have changed how students complete work—often making traditional assignments obsolete. Many faculty feel caught between academic integrity concerns and the desire to encourage innovation. The META Assignment Redesign Lab gives them tools to do both. It equips instructors to create assignments that encourage reflection, transparency, and deeper learning, even in AI-rich environments.
What is META?
A Simple Framework for Complex Challenges
META stands for:
| Letter | Domain | Focus |
|---|---|---|
| M – Metacognition | Reflection & self-awareness | How did AI shape your thinking? |
| E – Ethics | Responsible & transparent use | Are biases disclosed and cited? Is use known & shared? |
| T – Tools | Intentional tool choice | Which AI tool best fits this task? |
| A – Application | Real-world transfer | Where does this skill add value beyond the class? |
Faculty use META to revise or reframe their existing assignments, not reinvent them. The framework supports creativity and encourages alignment with core outcomes.
For a limited time, special Fall discount!
Starting at $29 – Group Licenses Available
See the META Framework in Action
The META Framework is the core methodology for assignment redesign in our Teaching with AI Certification: Level 2: Build. In this certification, you will be guided through a step-by-step process to apply these principles to your own assignments, creating a portfolio-ready, AI-resilient assessment.
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