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.

Publication availability: 1 tool has a current published Result.

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
Published Results · alphabetical, not ranked
Quizgecko
1 Pass1 Fail0 Not gradable
1 of 2 test cases passed · 1 failed
2 of 2 assessed2 of 2 gradableView Result →
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
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