The Assignment Makeover Method: A Four-Step Framework
Stop guessing if a submission is student work or an AI prompt. Fix the curriculum design problem at its source.
The reason students cheat with AI isn't necessarily a lack of integrity. It's often because the assignment itself can be fully completed by a machine in under five seconds.
The Assignment Makeover Method doesn't require you to become a tech wizard or learn complex coding. It’s an instructional design process that protects authentic human learning by shifting focus away from what a tool can produce, and onto how a student thinks.
Four steps. One redesigned assignment.
1. The Audit (Identify AI Vulnerability)
Before you change anything, you have to know where you are vulnerable. We map your current assignments across the AI Vulnerability Spectrum.
- Can a basic AI chatbot generate a passing response to this prompt instantly?
- Does the task rely entirely on a static, final written product?
- The Goal: Isolate the exact friction points where AI bypasses student critical thinking.
2. The Anchor (Protect the Core Skill)
When educators panic about AI, they often try to ban the technology entirely—which accidentally breaks the core learning objective. Step two anchors your assignment.
- What is the actual human skill or critical thinking element you are assessing?
- Is it the formatting, the research synthesis, or the original perspective?
- The Goal: Strip away the administrative filler and fiercely protect the non-negotiable human learning outcome.
3. The Redesign (Apply the 5 Design Strategies)
This is the core of the architecture. Instead of relying on software policing, we deploy five proven instructional design strategies to modify the task. We transform the assignment to ensure it requires authentic human input, iterative development, or highly contextualized problem-solving.
- The Goal: Turn a passive, AI-vulnerable prompt into an active, AI-intentional learning experience.
4. The Align (Calibrate the Rubric)
A great assignment makeover fails if your grading scale still rewards AI-generated outputs. In the final step, we realign your rubrics to measure the process of learning rather than just a polished final product.
- The Goal: Ensure teachers are grading the human thinking, the iteration, and the critical analysis—not just the text generation.
Let’s be clear about what this is.
This IS...
This is NOT…
This is NOT…
✓ A framework for designing assignments AI can't complete
✓ A practical instructional design process
✓ A way to make the work you're already doing more defensible
✓ Built for classroom and course use, starting with your next assignment
This is NOT…
This is NOT…
This is NOT…
✕ A tool for catching students using AI
✕ A policy or honor code solution
✕ One more thing to add to your plate
✕ Theoretical or research-only
Ready to Implement the Method?
Grab a copy of the Assignment Makeover Manual.
Grab a copy of the Assignment Makeover Manual.
Grab a copy of the Assignment Makeover Manual.
It contains detailed worksheets, step-by-step templates, and worked "before-and-after" examples for essays, research papers, and lab reports.
Bring it to your team
Grab a copy of the Assignment Makeover Manual.
Grab a copy of the Assignment Makeover Manual.
Bring this framework directly to your faculty. I deliver hands-on professional development workshops where your staff brings their actual lesson plans and leaves with completely redesigned, secure curriculum.