Use focused prompts naming educator decisions and explicit rules for knowledge sources when prompting AI¶
Strategy · All strategies
Evidence · no claims cited
Description¶
This strategy specifies how to prompt AI during prototyping: name the specific decisions educators need to make, request a small number of concrete options, and require the AI to draw on a defined set of research and curriculum materials. The team found that broad prompts like "What should this dashboard include for literacy educators?" produced long, generic outputs that sounded plausible but were not useful.
Design Implications¶
Context¶
Requirements¶
- Clear prompts, focused questions, and explicit rules for what knowledge shapes outputs, derived from trusted sources
Constraints¶
Target Learners¶
- Education R&D teams prototyping tools for educators
Target Learning Goals¶
- Producing targeted, useful AI outputs for prototype design
Related Strategies¶
Examples¶
-
Key Sources¶
- McGurl, C. & Maisscotte, B. (2026). ATS Field Note: Using AI in Prototyping. In ATS Hub Field Note Series. https://doi.org/10.51388/20.500.12265/298
Page metadata
| Field | Value |
|---|---|
type |
strategy |
id |
focused-prompts-explicit-rules-for-ai-outputs |
title |
Use focused prompts naming educator decisions and explicit rules for knowledge sources when prompting AI |
description |
This strategy specifies how to prompt AI during prototyping: name the specific decisions educators need to make, request a small number of concrete options, and require the AI to draw on a defined set of research and... |
status |
review |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — mcgurl-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.