Find the evidence in the rubric
Compare a fictional work sample with a short rubric. Separate visible evidence from assumptions about a learner's understanding, and identify a missing criterion without assigning a real student a grade.
An original hands-on example. Free to explore. This example runs in your browser; the optional AI guide below is separate.
A working local example. Your changes stay in this page until you choose to save, copy or download. No AI model is called.
Separate claims from evidence
Authored rubric: A strong explanation states a claim, gives relevant evidence and explains the connection. Sample work states a claim and quotes a relevant observation, but gives no connecting explanation. Classify what the displayed sample supports, then inspect the explanation.
- Checked
- 0 of 3
- Matches the sample
- 0 of 3
These are authored sample claims and evidence. Unsupported here means not established by this evidence, not necessarily false in the world.
For the moments like this.
A rubric promises consistency, but reviewers can still fill gaps with assumptions about effort or understanding. You want comments that point to the work rather than the learner's identity. Try the sample first, change one important detail, and decide what you would keep or revise before using this approach in your own situation.
What becomes possible
AI can help organize rubric evidence while educators retain responsibility for interpretation and consequential judgments. The local evidence exercise contains three authored sample claims and visible supporting material. Classify each claim and inspect the explanation. It checks against its disclosed sample key rather than conducting live research or detecting every error.
Take the next little step.
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Continue in your ChatGPT.
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A little help, right here.
The personalized guide is awaiting its approved connection in this studio preview. The interactive experience and your ChatGPT starter work without it.
The guide helps you explore and apply an idea. Your direction, decisions and approval remain yours.
Sources, capability notes and how this example works
This local experience uses authored sample content and deterministic controls. Changing an input updates the example; no model runs, outside records are checked, or real-world actions are performed. Use the sources for the underlying AI capabilities and audience context, and the human check above when you apply the idea.
Gallup: Teachers' reported AI use ↗June 24, 2025. Survey of 2,232 U.S. public K-12 teachers; reported use and savings are not causal evidence.
OpenAI: How educators can get started with ChatGPT ↗Checked September 11, 2026. Suggested preparation techniques requiring educator review.
Research checked September 11, 2026. Access to specific AI features depends on your account, plan and region. Sample amounts, timings, scores and feedback illustrate the method rather than claim measured outcomes.