Prompt engineering
Also used: Prompt design
Prompt engineering is the deliberate process of designing, testing, and improving prompts so an AI system performs a task more reliably.
Why it matters to educators
For educators, the value is not finding a magical phrase. It is turning a one-time AI request into a repeatable process that colleagues can understand, test, and improve for a specific educational purpose.
The foundation
Prompt engineering begins with a clear success criterion: what should a useful response contain, avoid, and enable the educator to do? The prompt is then tested with realistic inputs, reviewed against that criterion, and revised when it fails.
A strong process may include examples, a defined role, source material, an output structure, and a step that asks the model to identify uncertainty. The best version is usually the shortest prompt that consistently supports the task—not the longest or most complicated prompt.
What this can look like in education
Build a reusable feedback workflow
A department tests a prompt that turns rubric criteria and anonymized student work into draft feedback, then revises it until the comments consistently reference the criteria and leave final judgment to the teacher.
Standardize a recurring planning task
An instructional coach creates and tests a prompt template that helps teachers unpack a standard into learning targets, likely misconceptions, and checks for understanding.
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