AI Integrated Essay Grading and Feedback Workflow Explained

AI-Assisted Essay Grading and Feedback

1. Essay Submission

1.1 Student Submission

Students submit their essays through the institution’s learning management system (LMS).

1.2 Initial Document Check

The LMS performs an initial check for formatting and plagiarism using tools such as Turnitin or Grammarly.

2. AI Processing

2.1 AI Essay Analysis

Utilize AI-driven tools like Gradescope or Turnitin’s Feedback Studio to analyze the essay for structure, coherence, and grammar.

2.2 Machine Learning Feedback Generation

The AI generates feedback based on predefined rubrics, assessing elements such as thesis clarity, argument strength, and evidence utilization.

3. Instructor Review

3.1 Review AI Feedback

Instructors review the AI-generated feedback and make necessary adjustments to ensure accuracy and relevance.

3.2 Manual Grading

Instructors assign grades based on both AI feedback and their own evaluation, ensuring a comprehensive assessment.

4. Feedback Delivery

4.1 Compilation of Feedback

Compile AI-generated and instructor feedback into a cohesive report for each student.

4.2 Feedback Distribution

Distribute the feedback report to students through the LMS, allowing them to view comments and grades.

5. Continuous Improvement

5.1 Data Analysis

Analyze grading patterns and feedback effectiveness using AI analytics tools like Tableau or Power BI to identify trends.

5.2 AI Model Refinement

Refine the AI models based on feedback and grading outcomes to improve future assessments.

6. Student Engagement

6.1 Student Reflection

Encourage students to reflect on the feedback received and identify areas for improvement in their writing skills.

6.2 Follow-Up Sessions

Offer follow-up workshops or one-on-one sessions utilizing AI tools for personalized writing improvement, such as ProWritingAid or Hemingway App.