Short answer
Teachers should learn AI literacy, task framing, prompt writing, output verification, privacy awareness, assessment adaptation and how to decide when AI should not be used.
What this means in practice
Specific tools will continue to change, so the most durable capability is being able to define an education task clearly and judge whether the generated output is accurate, appropriate and useful for real learners.
Teachers also need to understand how student access to AI changes homework, assessment, academic integrity and the evidence schools collect about learning.
What should you check before deciding?
- AI limitations and hallucinations
- Prompt structure
- Verification and source checking
- Privacy, safeguarding and assessment implications
Important distinction
Knowing how to use an AI interface is not the same as being professionally AI-literate.
Related LCT pathway
LCT AI for Educators focuses on transferable educator skills as well as tool-specific workflows.
Explore AI for EducatorsEditorial information
Written byLondon College of Teachers Academic Team
Last reviewed9 August 2026
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