AI Prompting Skill
Information SystemsReliability: alpha 0.864 sample items
About this scale
A multi-item measure of an individual's skill in crafting effective prompts for large language models — including specificity, context-setting, role assignment, and iterative refinement.
Sample item(s)
“I write clear, specific prompts that get the result I want”
“I provide enough context for the AI to give a useful answer”
“I refine my prompts when the first response is not satisfactory”
“I know how to break a complex task into multiple prompts”
Reliability
Reported internal consistency: alpha 0.86. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Increasingly relevant as prompt engineering becomes a core workplace skill.
Source & citation
Lee, U., Han, A., Lee, J., Lee, E., Kim, J., Kim, H., & Lim, C. (2024): Prompt aloud!: Incorporating image-generative AI into STEAM class with learning analytics using prompt data. Education and Information Technologies, Vol. 29, No. 8, pp. 9575–9605.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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