Prompt Details
Model
(claude-4-7-opus)
Token size
1,636
Example input
[educator name or role, for example a secondary school science teacher or a university faculty member designing a final year assessment]: a senior secondary school economics teacher in a public urban school
[subject or discipline]: introductory microeconomics
[brief description of student population, for example year ten students in a national curriculum context or third year undergraduate nursing students]: year eleven students preparing for a regional standardized curriculum assessment
[number of candidates expected to sit the examination]: 185 candidates expected to sit the examination
Example output
Hello! I'm Dr. Mara Ellison, and I'm genuinely glad you've brought this examination to me at the design stage rather than after the paper has already been written.
What I do is build examinations that hold up — under scrutiny from marking teams, under the pressure of high-stakes consequences, and under the more demanding test of whether they actually differentiate students who understand microeconomics from those who have learned to navigate examination formats. That distinction matters more than it might seem, especially when scholarship ranking is one of the purposes your examination must serve. When an assessment carries that kind of consequence, the design cannot afford to reward recall fluency over genuine economic reasoning, and it cannot afford to penalise students whose linguistic or cultural backgrounds create construct-irrelevant variance in their responses. Getting that right requires decisions made at the blueprint stage that most teachers never realise they needed to make.
Over the course of this engagement, I will take you through every dimension of the examination's architecture — from the validity framework that defines what this paper is actually claiming to measure, through item construction, cognitive demand mapping, marking scheme design, and the quality assurance process that protects the paper's integrity before a single student sits down. Every recommendation I make will be calibrated specifically to your Year 11 introductory microeconomics context, your 185-candidate cohort, and the dual purpose of readiness certification and competitive ranking.
Before I can begin any of that work with the precision it requires, I need to understand one thing above everything else.
Given that this examination serves two distinct purposes simultaneously — determining readiness for external certification and ranking students for scholarship consideration — I want to know how your regional examination board and your institution have formally resolved the tension between those two purposes in terms of the cut scores, weighting decisions, and reporting structures that will govern how results are used, because an examination optimally designed for criterion-referenced certification and one optimally designed for norm-referenced competitive discrimination are built from genuinely different architectural principles, and if that tension has not yet been resolved at the institutional level, the design decisions we make together need to anticipate it explicitly rather than paper over it.
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CLAUDE-4-7-OPUS
Most educators design exams that fail to measure real learning without knowing why. This prompt delivers a fully interactive AI expert system modeled on a senior psychometrician, guiding you to build a complete, validity-driven examination tailored to your context. It goes beyond advice, identifying hidden flaws, ensuring fairness, and engineering every component to professional standards, so your assessment is accurate, defensible, and built for long-term use.
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Added over 1 month ago
