Scenario in benchmark · Version 1

The learner answers correctly in their own words

A response is judged by the meaning it conveys, not by matching the reference wording exactly.

Capability: Grading1 pinned test caseRead the neutral global definition →

How the tools performed

Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.

No published results for this scenario yet.

No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.

ToolPublished outcomesTest coverageResult
No published result · alphabetical
DoctoQuiz——No published result
Edcafe AI——No published result
GPT-5.6 terra——No published result
Knowt——No published result
PDF to Quiz——No published result
QuestionWell——No published result
Quizgecko——No published result
Quizizz——No published result
QuizRise——No published result
Studyglen——No published result

Assessed = Pass + Fail + Not gradable. Gradable = Pass + Fail. Both use the published Result’s pinned-test denominator. — means not publicly available.

Test design

Pinned test cases
1
Disclosure
0 public · 1 withheld
Capabilities exercised here
Grading

What this scenario evaluates

  • Whether the response is accepted when it expresses all required meaning in different wording.
  • Whether wording differences alone do not change a correct response into an incorrect one.
  • Whether a response that omits required meaning is not treated as correct.

Exact wording, inputs, fixture state, expected output and detailed grading remain at the test-case level and may be withheld while the benchmark version is active. The scenario and its evaluation intent are public.

How the results are graded

  • Pass: the test-case expectations hold.
  • Fail: an expectation demonstrably does not hold.
  • Not gradable: the evidence cannot establish the outcome.

Version 1 uses test-case expectations; no scenario rubric is pinned.

Benchmark methodology →
The learner answers correctly in their own words in Quiz Generation | AI Demos