Automated Essay Grading Workflow with AI Integration

Automated Essay Grading and Feedback

1. Essay Submission

1.1 Student Upload

Students submit their essays through a designated online platform.

1.2 Document Format

Ensure that submissions are in accepted formats (e.g., .docx, .pdf, .txt).

2. Preprocessing of Essays

2.1 Text Extraction

Utilize tools like Apache Tika or PDFBox to extract text from submitted documents.

2.2 Language Processing

Implement Natural Language Processing (NLP) libraries such as NLTK or SpaCy for initial text analysis.

3. Grading Criteria Setup

3.1 Define Rubric

Establish a grading rubric that includes criteria such as content, structure, grammar, and originality.

3.2 AI Model Training

Train AI models using platforms like Google Cloud AutoML or IBM Watson to understand and evaluate the rubric.

4. Automated Grading Process

4.1 AI Grading Engine

Deploy AI-driven tools such as Turnitin or Grammarly for initial grading based on defined criteria.

4.2 Feedback Generation

Utilize AI tools like Essaybot or WriteLab to generate personalized feedback for each essay.

5. Review and Adjustment

5.1 Human Oversight

Incorporate a review process where educators can validate AI-generated grades and feedback.

5.2 Continuous Improvement

Gather feedback from educators to refine the AI models and grading criteria over time.

6. Final Report Generation

6.1 Compile Results

Generate a comprehensive report that includes grades, feedback, and areas for improvement.

6.2 Distribution

Distribute reports to students through the online platform, ensuring confidentiality and data protection.

7. Post-Implementation Review

7.1 Analyze Effectiveness

Conduct surveys with students and educators to assess the effectiveness of the automated grading process.

7.2 Adjust Workflow

Make necessary adjustments to the workflow based on feedback and performance metrics.