Most AI guidance for schools stops at policy: what students may or may not do. Astra starts somewhere else — with how students think while they do it.
DEEP™ is the structured model Astra uses to keep that thinking visible, so that using AI becomes a disciplined practice rather than a shortcut. It applies across subjects and grade levels, not as a one-time lesson but as a habit of mind a school builds into how it teaches.
Before a student turns to AI, they define what they’re actually trying to find out. This is the discipline of starting from a real question, rather than a vague prompt and whatever answer comes back.
Students ground their thinking in evidence they understand themselves, so that what AI contributes can be checked against something real rather than accepted on its own authority.
Students critically assess what AI returns — weighing it, testing it, deciding what holds up and what doesn’t — rather than treating the output as a finished answer.
Students explain and stand behind their own reasoning, in their own words. This is the moment that shows whether the thinking was theirs.
The four disciplines work together, not in isolation. A school does not adopt DEEP™ as an add-on lesson. It becomes part of the culture a school builds around responsible AI use, helping students develop stronger thinking habits across subjects.
For schools ready to move from discussing AI governance to implementing it:
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