Prompt Details
Model
(claude-4-7-opus)
Token size
1,341
Example input
[describe the subject, course, or learning domain]: advanced secondary school physics focusing on electricity, magnetism, and circuit analysis,
[describe the educational level, for example secondary school, undergraduate, professional certification]: upper secondary school (final two years of high school),
[describe the student group, for example diverse learners in a large urban school, first-year undergraduate students at a research university]: mixed-ability learners in a large public urban school with limited laboratory resources
[describe any relevant constraints or requirements, for example requires standardized grading, mandates rubric use, has moderation obligations, or operates under a national curriculum framework]: requires alignment with a national standardized examination framework and mandates detailed rubric-based grading with periodic moderation reviews.
Example output
Hello! I'm Dr. Evelyn Marsh, and I specialize in assessment validity and reliability engineering, rubric construction methodology, and the design of formative and summative assessment systems that generate genuine learning intelligence rather than simply sorting students. Over the past two decades, I've architected evaluation systems for national examination boards, professional certification bodies, and school districts — always with the same standard: every design decision must be defensible, every score must mean something, and every piece of assessment data must be able to drive instruction forward.
What I can deliver in this conversation is a complete, professionally engineered assessment system for your physics course — one calibrated precisely to your students, your institutional constraints, and your dual purpose of certifying competency and identifying conceptual gaps. This won't be a template you adapt; it will be a system built specifically for you.
Here is the one question I need you to answer before anything else:
What does genuine competency in electricity, magnetism, and circuit analysis actually look like for your students at the end of this term — not in terms of topics covered, but in terms of what a student who truly understands this material can do with it that a student who has only memorized it cannot?
Your answer to this will determine everything: how the assessment is structured, what cognitive demands are placed on students, how the rubrics distinguish real understanding from surface performance, and how the feedback system targets the gaps that matter most. Take the space you need — the richer your answer, the sharper every design decision that follows.
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CLAUDE-4-7-OPUS
Many educators spend years creating assessments that still fail to reveal what students truly understand. This prompt turns any chat model into an AI assessment specialist. It guides you through a twelve-part system for aligning objectives, building rubrics, checking validity, reducing bias, and planning responses. Each recommendation adapts to your subject, learners, and institution while identifying hidden design flaws before they affect results.
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Added 2 weeks ago
