Could ChatGPT Do This Overnight If…?
Source: Educating AI / Nick Potkalitsky Substack
Author: Nick Potkalitsky
Original source: https://nickpotkalitsky.substack.com/p/could-chatgpt-do-this-overnight-if
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Summary
Nick Potkalitsky argues that the right response to AI-vulnerable assignments is not prohibition but redesign. If students can paste an assignment into ChatGPT and receive a finished product, the task needs to become a richer learning experience where AI supports rather than replaces thinking. The article offers six redesign filters: human/place anchors, visible process, multimodal output, collaboration and negotiation, ethical reflection, and competency lift. Each filter reframes AI as a thinking partner while preserving student agency, evidence of process, human interaction, and authentic constraints.
Big ideas
- Learning still needs some struggle, even when AI can make things easier
- Students need to bring the purpose; AI should not supply it for them
- Schools should start with learning values before choosing AI tools
Claims
- AI-assisted homework requires redesign, not just policing
- Learning requires some productive struggle that AI can remove
Key evidence and examples
- Examples include a local water-quality investigation using student-collected samples and AI-supported research.
- A persuasive essay portfolio requires drafts, revision notes, and documented AI use or rejection.
- A book trailer assignment includes filmed scenes, AI-generated music, and live pitching.
- Other examples involve real budgets, scheduling, interviews, survey data, negotiation, and presentation to authentic audiences.
Education relevance
Highly relevant for assignment design, AI policy implementation, assessment redesign, visible-process pedagogy, authentic learning, project-based learning, and teacher professional development.