1. Upload the Student’s Answer Sheet
How to Upload:
Locate the student record under the assigned test’s Results section.
Click on the Upload Answer Sheet button next to the student’s name.
Select the student’s scanned answer sheet file (preferably in clear PDF format) from your device.
System Actions After Upload:
The platform automatically processes the uploaded document.
Using OCR (Optical Character Recognition) technology, the system:
Extracts the student’s name, roll number, and textual answers directly from the scanned document.
Prepares the extracted data for automated checking against the provided Answer Key.
📌 Important:
Make sure the scanned sheets are clear and properly aligned. Poor scan quality may cause OCR errors during evaluation.
2. Begin Auto Evaluation
Starting Evaluation:
After successful sheet upload, click on the Evaluate button.
System Actions During Evaluation:
The system automatically compares:
Each extracted answer from the student’s answer sheet
Against the expected answers provided in the uploaded Answer Key.
The AI engine analyzes correctness, marking schemes, and partial credit scenarios if applicable.
📢 Tip:
If you notice that evaluation is slow, check the file size and clarity. Larger or unclear files may take longer.
3 View Results
Post-Evaluation View:
Once evaluation completes, the system immediately updates the student’s record to Completed status.
Displays:
The student’s total marks obtained (e.g., 19 out of 20 marks).
Detailed result breakdown ready for review.
✅ Quick Actions:
Review scores instantly from the Results tab.
Use Export features to save a copy of all results for reporting purposes.
4 Review Detailed Comparison
To understand a student’s performance deeply, review the detailed side-by-side comparison.
What the System Shows:
Expected Answer (from Answer Key)
Student’s Response
Highlighted discrepancies or missing points
Auto-generated feedback for improvement
📌 Pro Tip:
Use Direct Paper View when verifying subjective answers and formatting issues.
Use Text View for quick evaluation of objective or keyword-based answers.
🔍 4.5 Analyze Further Questions
For multi-question or advanced tests, the system’s AI goes beyond basic checking:
AI-Driven Analysis Includes:
Detailed review of student responses for underlying concepts.
Identification of key topics covered, such as:
Method Overloading
Static Polymorphism
(Depending on subject, relevant concepts are detected automatically.)
Detection of:
Missing elements in the answers that were expected.
Partially correct answers or alternative correct methods.
📢 Note:
This AI capability helps instructors quickly spot conceptual misunderstandings, making feedback and re-teaching much more effective.