ExamPlatform uses a two-track evaluation model that matches the grading approach to the question type. Objective questions — MCQ and multi-select — are graded automatically the instant a student submits their exam, with no human intervention required. Subjective questions — short answer, long answer, and image upload — enter an evaluation queue where an AI can generate a first-pass grade suggestion and an examiner reviews, adjusts, and finalises every response. The two tracks run in parallel, so objective scores are always available immediately while subjective grading proceeds at the examiner’s pace.Documentation Index
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- Objective Questions
- Subjective Questions
MCQ (single correct) and multi-select questions are evaluated automatically by comparing the student’s selected option(s) against the answer key stored in the question bank at the time the exam was created.
- Grading runs immediately on submission — there is no delay between when a student submits and when objective marks are calculated.
- Each correct answer awards the marks value configured on the question.
- Negative marking is applied if a negative marks value was configured on the question. An incorrect answer deducts that value from the student’s running score. Questions with no negative marks value configured award zero for an incorrect selection.
- For multi-select questions, the full marks are awarded only when all correct options are selected and no incorrect options are included. Partial selection behaviour follows the negative marking configuration.
- The auto-graded results feed directly into the student’s total score tally and are immediately available once the examiner publishes results.
Evaluation Workflow Settings
When creating an exam, the examiner configures three toggles in the Evaluation Workflow section of the exam creation form. These settings determine how subjective responses are handled after submission:| Setting | Description |
|---|---|
| Enable AI evaluation for subjective answers | When on, the AI model analyses each subjective response and generates a first-pass grade suggestion. When off, responses go directly to the manual review queue with no AI suggestion. |
| Allow manual examiner review | When on, the examiner can open each subjective response and submit a final grade. This is typically kept on whenever subjective questions are included in the exam. |
| Route subjective responses to manual review after AI first-pass | When on, every response that receives an AI suggestion is also placed in the manual review queue so the examiner can confirm, adjust, or override the AI grade before results are published. |
The examiner’s grade always overrides the AI suggestion. The AI first-pass is a productivity aid — it gives the examiner a starting point and reduces the cognitive effort of grading from scratch — but it carries no authority. The grade the examiner submits is the grade that appears in the student’s results.
Publishing Results
Once every answer in the exam has been evaluated — objective answers auto-graded and all subjective responses reviewed and graded — the examiner or administrator can publish results by clicking Publish Results from the Evaluation & Results section. When results are published:- Students are notified and the exam transitions from Completed to Published status.
- Each student can view a detailed results breakdown including:
- Marks obtained out of the total marks
- Percentage score
- Correct answer count
- Incorrect answer count
- Rank among all students who sat the exam
- Status — Pass or Fail, based on the passing percentage configured when the exam was created
Report Downloads
ExamPlatform provides several export options for examiners and administrators:- Exam Report — PDF: A formatted report of the exam results suitable for printing or archiving.
- Exam Report — Excel: A spreadsheet of all student scores, including marks, percentage, rank, and pass/fail status — useful for further analysis or record-keeping.
- Exam Report — CSV: A machine-readable flat-file export of the same result data.
- Question Bank — CSV: A full export of the question bank, generated server-side. This covers all questions across all subjects and includes type, difficulty, marks, and negative marking values.