Most educators approach AI integration as a detection problem. We build policies to catch AI misuse while missing AI's actual strength: helping us see problems through multiple disciplinary perspectives simultaneously.
When the same AI was asked about universal basic income in different languages, support ranged from 64% in Arabic to just 18% in Hindi. Same model. Same question. Completely different cultural assumptions baked in.
This matters because complex problems in education (Should we redesign developmental math? How do we support neurodivergent students? What makes an effective online discussion?) don't have single correct answers. They require seeing from angles we wouldn't naturally consider.
Today you'll experience "Dragonfly Thinking" by exploring one education challenge through multiple disciplinary lenses using AI.
Knowing when a problem requires multiple perspectives versus when a single answer suffices. Not every question needs five viewpoints. Checking a calculation doesn't. Designing a retention intervention does.
Your Task:
Go to this NotebookLM notebook.
Try these prompts and notice what happens:
Prompt 1: "I'm a community college instructor worried that AI tutors will make my students dependent on technology instead of learning to think. What would Howard Gardner say about this concern?"
Prompt 2: "Analyze the concept of 'liquid textbooks' from the perspective of an educational psychologist, then from the perspective of an economist. Where do they agree? Where do they clash?"
Prompt 3: "I teach [your subject]. Pick a controversial topic from my field and show me how three different disciplines would approach it differently."
Prompt 4: Make up your own. Ask about a real problem from your teaching. Request perspectives from specific disciplines. See what you discover.
Spend 15-20 minutes exploring. Screenshot or note the most surprising insight you get.
Keep experimenting with the notebook. Ask about problems from your actual work. Try perspectives you'd never consider on your own (What would a neuroscientist say? An ethicist? An economist?).
When you find something useful, create a simple one-page infographic showing:
The problem you explored
The 2-3 perspectives you found most valuable
One specific thing you'll do differently in your teaching because of this
Use any tool you want (NotebookLM, Canva, PowerPoint, even a photo of a hand-drawn sketch). Make it clear enough that a colleague could understand it in 30 seconds.
Submit your infographic or insight to the LinkedIn discussion.
Share three things in your post:
Main takeaway for your specific job: What did you learn that matters for your actual teaching context? Be specific.
Where you got that insight from: Which disciplinary perspective surfaced this? What did you ask the AI that revealed it?
What you're going to do with that information: One concrete action you'll take in the next two weeks because of this exploration.
React with ❤️ on posts that give you ideas for your own practice.