AI Grading Assistant

The AI Grading Assistant helps teachers speed up marking while keeping final academic judgment in human hands.

How does the AI Grading Assistant work?

Acanalyzer compares student submissions against teacher-defined rubrics and generates draft scoring and feedback for review.

1. Rubric Configuration

Teachers create a rubric with clear criteria and point values.

• Criteria: e.g., "Logical Flow", "Evidence Usage", "Grammar".
• Weighting: Assign importance to each criterion.

2. Expert Keywords

You can add Expert Keywords to highlight concepts or terms that matter for the assignment.

Example: For a biology assignment on photosynthesis, keywords might include "chlorophyll", "light energy", and "Calvin cycle".

3. Semantic Analysis

The assistant reviews the student response against the rubric and returns a suggested score for each criterion, along with supporting feedback.

What feedback does the AI generate for each submission?

Each reviewed submission can include:

• Categorized Scores: Visual breakdown of performance.
• Written Feedback: An explanation of the suggested scoring.
• Improvement Guidance: Suggestions that can help students strengthen future work.

[!TIP] Use stricter rubric settings for objective tasks and more flexible feedback settings for open-ended assignments.

Can teachers override AI grades?

The AI is an assistant, not the final grader. Every AI-generated result should be reviewed before publication. Teachers can:

• Approve: Publish the grade instantly to the student portal.
• Edit: Adjust the score or feedback text before publishing.
• Reject: Ignore the AI result and grade the submission manually.