Short answer
NotebookLM can be useful when educators want AI assistance grounded in a selected set of reference materials, such as course documents, policies or professional notes.
What this means in practice
Source-grounded tools can make it easier to ask questions across material you have supplied and to organise themes or summaries around those sources.
The quality of the result still depends on the quality, completeness and currency of the source material. A source-grounded answer can faithfully reflect an outdated or weak source.
What should you check before deciding?
- Authority of the sources
- Currency of the material
- Whether sensitive data is involved
- Whether key context is missing from the source set
Important distinction
Source grounding improves traceability, not automatic truth.
Related LCT pathway
LCT offers NotebookLM for Educators within the AI professional-development pathway.
Explore NotebookLM for EducatorsEditorial information
Written byLondon College of Teachers Academic Team
Last reviewed9 August 2026
Source policyHigher-risk answers include direct links to official authorities where a suitable source is available. Readers should still verify the current rule with the relevant government authority, regulator or employer.