Lesson 1543 of 1570
Literature Reviews with AI in 90 Minutes
A repeatable workflow for reviewing 20 papers in the time it used to take to read 2.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2literature review
- 3structured extraction
- 4comparative analysis
Concept cluster
Terms to connect while reading
Section 1
The big idea
AI tools like NotebookLM, Elicit, and Consensus let you upload, query, and compare academic papers in minutes. The teens using these for school projects and science fair are turning out work that looks graduate-level. The trick is structure — having a consistent question template you ask of every paper.
Some examples
- Use a shared question grid: question, methodology, findings, limits, my critique.
- NotebookLM grounds answers in your uploaded PDFs only — no hallucination.
- Elicit summarizes papers and extracts data tables in seconds.
- Always read at least one full paper unaided to calibrate the AI summaries.
Try it!
Pick a topic, gather five papers (Google Scholar), upload to NotebookLM, ask one question across all. Notice what emerges.
Key terms in this lesson
End-of-lesson quiz
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