Automated Essay Grading Workflow with AI Driven Feedback

Automated Essay Grading and Feedback Workflow

1. Submission of Essays

1.1 Student Upload

Students submit their essays through a designated online platform, such as Google Classroom or Moodle.

1.2 Format Verification

The system verifies that the essays meet the required format and guidelines (e.g., word count, file type).

2. Preprocessing of Essays

2.1 Text Extraction

Utilize Optical Character Recognition (OCR) tools, like Adobe Acrobat, if essays are submitted in image formats.

2.2 Text Cleaning

Remove any extraneous elements, such as headers, footers, and images, using natural language processing (NLP) techniques.

3. Automated Grading

3.1 AI-Driven Assessment Tools

Implement AI tools such as Turnitin’s Revision Assistant or Grammarly to evaluate the essays based on predefined criteria.

3.2 Rubric-Based Scoring

Use machine learning algorithms to score essays according to a rubric that assesses content, structure, grammar, and originality.

4. Feedback Generation

4.1 Automated Feedback Mechanism

Utilize AI-driven platforms like EssayBot or WriteLab to generate personalized feedback for each essay based on the assessment.

4.2 Customizable Feedback Templates

Incorporate customizable templates to ensure feedback is comprehensive and addresses specific areas of improvement.

5. Review and Revision

5.1 Student Access to Feedback

Students receive their graded essays along with automated feedback through the online platform.

5.2 Revision Opportunities

Encourage students to revise their essays based on the feedback and resubmit for further evaluation.

6. Final Assessment

6.1 Teacher Review

Educators review the AI-generated grades and feedback to ensure accuracy and fairness, making adjustments as necessary.

6.2 Final Grading

Finalize the grades and provide students with a comprehensive report that includes AI feedback and teacher comments.

7. Data Analysis and Reporting

7.1 Performance Metrics

Analyze data collected from the essays to identify trends in student performance and areas needing curriculum enhancement.

7.2 Continuous Improvement

Use insights from the analysis to refine the grading criteria and feedback mechanisms, ensuring alignment with educational objectives.