Designing assessments in the age of AI requires more than just tougher questions—it demands smarter ones.
Here’s how I approach AI-resistant assessment design using a topic like photosynthesis:
Instead of asking students to recall definitions, we:🌱 Place them in real-world scenarios (e.g., diagnosing plant growth issues in a greenhouse)🧠 Require explanation, justification, and decision-making—not just answers📊 Use novel data sets for interpretation and experimental design🔄 Build in reflection and error analysis to uncover misconceptions🗣️ Incorporate live or in-class components to capture authentic thinking
The goal isn’t to “outsmart AI”—it’s to elevate what we value in student learning:✔️ Critical thinking✔️ Application of knowledge✔️ Clear communication✔️ Original reasoning
When assessments prioritize these skills, academic integrity becomes a byproduct—not a battle.
Curious how this could look in your classroom? Let’s connect.
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