Where Does Thinking Happen?

👆 Click any stage above to explore where thinking happens

🧭 Pause & Reflect

Before moving on, consider your own relationship with these stages:

Which stage felt safest to give to AI?

What made it feel low-risk?

Which felt most dangerous?

What would be lost if you delegated it entirely?

Where did you disagree with this map?

What would you change about the categories or connections?

📚 For Class Discussion

Small Group Activity: In groups of 3–4, trace the path you actually took in your last research paper. Where did it diverge from this map?
Debate Prompt: Should "Draft & Revise" be blue or purple? Make your case using examples from your own writing process.
Thought Experiment: If you could only use AI for TWO stages, which would you choose and why?
Metacognitive Journal: Track one week of academic work. At which stages did you actually pause and think vs. operate on autopilot?
Redesign Challenge: Create your own version of this map for a different domain (e.g., scientific research, creative writing, data analysis).

Tools Used

Claude (Anthropic) — Conceptual framework development, content generation, code structure
Human (Research & Engagement Librarian) — Pedagogical design, course alignment, final editorial decisions

Process

1. Human Input: The librarian provided a course description, learning objectives, and initial concept for an interactive map exploring cognitive labor in academic writing.

2. AI Assistance: Claude generated the node structure, content for each stage, and the HTML/CSS/JavaScript implementation.

3. Human Refinement: The librarian reviewed all content for accuracy, pedagogical appropriateness, and alignment with course philosophy.

What Was Human-Driven

Pedagogical goals and learning outcomes
Decision to frame thinking as distributed across tasks, not binary human/AI
Choice to avoid prescriptive "right answers"
Final approval of all content and design choices

What AI Generated

Initial node descriptions and categorizations
Technical implementation (HTML/CSS/JavaScript)
Visual design suggestions and layout
Drafts of reflection questions and discussion prompts

Why This Transparency Matters

This page teaches critical thinking about AI collaboration by modeling it. Students see that meaningful work involves human judgment about goals, values, and context — even when AI handles technical execution.