Lesson 250 of 1570
School Research vs Writing: Where AI Helps Which
Research is finding what's true. Writing is making your own meaning out of it. AI is great at one and risky at the other. Knowing which is which is half the skill.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1Two different jobs, one project
- 2research
- 3writing
- 4synthesis
Concept cluster
Terms to connect while reading
Section 1
Two different jobs, one project
When you write a research paper, you're really doing two jobs: finding stuff out, and turning what you found into something that's yours. AI is great at the first one (with caution) and very risky at the second one. People mix them up and get into trouble.
Research = AI helps a lot
- Find sources: "List 5 reputable articles on [topic]" (Perplexity is best)
- Summarize sources: "Summarize this article in 5 bullets, with quotes I can cite"
- Compare sources: "What do these two articles disagree on?"
- Background context: "Explain [historical event] like I'm 12, then point me to original sources"
Writing = AI mostly hurts
- Building a thesis you actually care about — that's you
- Picking which evidence matters — that's you
- Tone, voice, the way you make a sentence — that's you
- Synthesis: "these three things together mean something new" — that's you
Compare the options
| Research phase | Writing phase |
|---|---|
| Use AI: yes, a lot | Use AI: only as editor |
| Cite the AI? Sometimes (research tools, like Perplexity) | Cite the AI? Disclose any text help |
| Risk if you cheat? Wrong info | Risk if you cheat? You learned nothing |
Try it: split your project
On your next research paper, draw a line on a sheet of paper: research / writing. Every time you open AI, ask yourself which side you're on. If you're on the writing side, ask: "am I asking AI to do my thinking?" If yes, close the chat and try yourself first.
End-of-lesson quiz
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