Automated Essay Grading with AI Feedback Workflow Guide

Automated Essay Grading and Feedback Workflow

1. Essay Submission

1.1 Student Submission

Students submit their essays through an online platform.

1.2 Initial Formatting Check

The system performs a preliminary check for formatting issues (e.g., word count, paragraph structure).

2. AI-Driven Analysis

2.1 Content Evaluation

Utilize AI tools such as Grammarly and Turnitin for plagiarism detection and grammar checks.

2.2 Semantic Analysis

Implement AI language models like OpenAI’s GPT to assess the coherence and relevance of the essay’s content.

2.3 Rubric Scoring

AI algorithms score the essay based on predefined rubrics, considering criteria such as argument strength, organization, and style.

3. Feedback Generation

3.1 Constructive Feedback

AI tools generate personalized feedback highlighting strengths and areas for improvement.

3.2 Feedback Customization

Incorporate tools like Quillbot to provide suggestions for paraphrasing and enhancing clarity.

4. Review and Adjustment

4.1 Instructor Review

Instructors review AI-generated scores and feedback for accuracy and fairness.

4.2 Adjustments and Finalization

Instructors can adjust scores and feedback as necessary before finalizing the assessment.

5. Student Feedback Delivery

5.1 Notification System

Students are notified via email or through the platform when their essay has been graded.

5.2 Access to Feedback

Students access their grades and feedback through the online platform, allowing for self-reflection and improvement.

6. Continuous Improvement

6.1 Data Analysis

Analyze grading data to identify trends and areas for curriculum improvement.

6.2 AI Model Refinement

Continuously refine AI models based on feedback from instructors and students to enhance accuracy and effectiveness.