Quiz result dashboard and per-question accuracy analysis
The QuizGen.kr quiz dashboard turns submissions collected from a shared quiz into participant counts, average scores, the hardest question, per-question accuracy, and per-participant scores. You can also select a class to review the results of one group on its own.
Generating questions is only half the job. To plan the next lesson you need to see where learners actually got stuck. The dashboard reports graded submissions at both the question level and the participant level, so you can decide which concept to revisit without building your own spreadsheet.
Switch classes and open a participant result
This preview uses the same information hierarchy as the live quiz dashboard. Changing the class updates the summary, per-question accuracy, and participant list together.
Quiz dashboard
Statistics for “AI fundamentals · formative assessment”.
All classes: Average score 76.8 pts, Total participants 28
Submission overview
28 participant submissions summarised.
Average score
76.8 pts
Average points earned across 5 questions.
Total participants
28
Total participants who have taken this quiz.
Hardest question
Q3. Which activation function mitigates the vanishing gradient problem?
accuracy: 39.3%
Per-question accuracy
A chart showing the accuracy rate for each question.
Detailed data
Detailed statistics for each question.
| Question | Prompt | Correct / attempts | accuracy |
|---|---|---|---|
| Q1 | What is the role of a pooling layer in a convolutional neural network? | 24 / 28 | 85.7% |
| Q2 | Gradient descent maximises the loss function. | 26 / 28 | 92.9% |
| Q3 | Which activation function mitigates the vanishing gradient problem? | 11 / 28 | 39.3% |
| Q4 | Which method reduces overfitting, and why does it work? | 20 / 28 | 71.4% |
| Q5 | How does training data affect a generative AI model’s output? | 18 / 28 | 64.3% |
Participant scores
Use the arrow to inspect grading by question.
| Name | Class | Score | |
|---|---|---|---|
| Mina Kim | Monday A | 92 / 100 | |
| Elliot Park | Monday A | 84 / 100 | |
| Harin Lee | Monday A | 76 / 100 | |
| Theo Choi | Wednesday B | 88 / 100 | |
| Somin Jung | Wednesday B | 71 / 100 | |
| Jae Yoon | Wednesday B | 63 / 100 |
Metrics the dashboard calculates
Every metric is derived from graded submissions. The list below also notes where the basis changes by question type.
- Total participants
- Basis: Number of submissions recorded so farCounts learners who completed the quiz through the shared link. Selecting a class narrows the count to that class.
- Average score
- Basis: Mean score across all participants, shown against the total question countTells you whether the overall difficulty matched what you intended. Displayed together with the total number of questions.
- Hardest question
- Basis: The question with the lowest average score or accuracyWhen there are not enough submissions, the dashboard reports insufficient data instead of a value.
- Per-question accuracy
- Basis: Correct answers divided by attemptsUsed for multiple choice, O/X, short answer, fill in the blank, and matching questions, where an answer can be judged correct or incorrect.
- Per-question average score
- Basis: Mean score participants earned on that questionQuestions with partial credit, such as essays, are reported with participant count and average score instead of accuracy.
- Per-participant score
- Basis: Name, class, and total scoreSelecting a participant opens a detailed result with their submitted answers and grading for each question.
Example of the per-question detail table
This example shows how the dashboard detail table is organised. Actual values depend on the submissions you collect.
| Question | Type | Correct / attempts | Accuracy |
|---|---|---|---|
| 1. What is the role of a pooling layer in a convolutional neural network? | Multiple choice | 24/28 | 85.7% |
| 2. Gradient descent maximises the loss function. | O/X | 26/28 | 92.9% |
| 3. Which activation function mitigates the vanishing gradient problem? | Short answer | 11/28 | 39.3% |
| 4. Explain a method for reducing overfitting and why it works. | Essay | 28 participants / 6.4 avg | — |
Accuracy bands
- High (80% and above) — most participants understood the question.
- Medium (50–79%) — more than half answered correctly, but a recap may help.
- Low (below 50%) — the concept or the question itself likely needs revisiting.
Reviewing results by class
If you set up classes when sharing the quiz, the dashboard lets you switch between all classes and a single class to compare results.
See class and QR sharing- Switch between all classes and an individual class in the class selector.
- If a selected class has no submissions yet, the dashboard says so explicitly.
- The participant score table lists name, class, and total score together.
- Selecting a participant opens a detailed result with their total score and per-question grading.
Good to know before you start
- The dashboard requires signing in with the account that created the quiz. It is not exposed to quiz takers.
- With no submissions yet, the dashboard prompts you to share the quiz link instead of showing statistics.
- Class grouping follows the classes you configured when sharing and the affiliation participants entered.
- Questions with partial credit, such as essays, should be read as average scores rather than accuracy.
Quiz result analysis FAQ
- Can I see statistics without tallying the results myself?
- Yes. Once submissions arrive on a shared quiz, the dashboard automatically reports total participants, average score, the hardest question, and per-question statistics. No separate spreadsheet is required.
- Can I review results separately by class or team?
- Yes. If you configure classes when sharing the quiz, the class selector on the dashboard lets you switch between all classes and an individual class.
- How do I find out which question was difficult?
- The dashboard highlights the question with the lowest average score or accuracy as the hardest question, and the per-question chart and detail table show correct answers, attempts, and accuracy for every question.
- Are essay questions included in the statistics?
- They are. Because essays carry partial credit, they are reported with participant count and average score rather than an accuracy percentage.
- Can I open an individual learner answer sheet?
- Yes. Selecting a participant in the score table opens a detailed result containing their total score and the grading for each question.
- Can quiz takers see their own results?
- Quiz takers see their own graded result and explanations right after submitting. The dashboard that aggregates every participant is available only to the account that created the quiz.
Create a quiz from my material
Generating questions is only half the job. To plan the next lesson you need to see where learners actually got stuck. The dashboard reports graded submissions at both the question level and the participant level, so you can decide which concept to revisit without building your own spreadsheet.