Scenario in benchmark · Version 1

The learner's answer is partly correct

A learner response is partly correct when it includes one required idea, leaves out another, and does not contradict the correct part.

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
2
Disclosure
0 public · 2 withheld
Capabilities exercised here
Grading, Answer Feedback

What this scenario evaluates

  • Whether the response is treated as partially correct rather than fully correct or fully incorrect.
  • Whether the system preserves the learner's correct idea while identifying the missing required idea.
  • Whether feedback explains what is present, what is absent, and what must be added or corrected.
  • Whether the same underlying response can support both a grading judgement and explanatory feedback without changing the scenario.

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's answer is partly correct in Quiz Generation | AI Demos