Automated Essay Grading with AI Feedback Solutions

Automated Essay Grading and Feedback

1. Essay Submission

1.1 Student Upload

Students submit their essays through an online platform, utilizing tools such as Google Classroom or Moodle.

1.2 Format Verification

The system checks for adherence to submission guidelines (e.g., file format, word count) using AI tools like Turnitin for initial checks.

2. Preprocessing of Essays

2.1 Text Analysis

Natural Language Processing (NLP) tools, such as SpaCy or NLTK, analyze the text for grammar, structure, and coherence.

2.2 Plagiarism Detection

AI-driven plagiarism detection software, such as Grammarly or Turnitin, scans the content against a database of sources to ensure originality.

3. Grading Process

3.1 Rubric Implementation

Instructors define grading rubrics within the system, which can be enhanced by AI tools like Gradescope that automate rubric scoring.

3.2 AI Grading

AI algorithms, such as those used in the ETS’s e-rater, evaluate essays based on predefined criteria, providing initial scores based on content, organization, and language use.

4. Feedback Generation

4.1 Automated Feedback

AI tools generate personalized feedback for students, focusing on areas of improvement, utilizing platforms like WriteLab or Feedback Studio.

4.2 Instructor Review

Instructors review AI-generated feedback and scores, making adjustments as necessary for accuracy and fairness.

5. Student Interaction

5.1 Feedback Delivery

Students receive their graded essays and feedback through the online platform, ensuring accessibility and transparency.

5.2 Revision Opportunities

Students are encouraged to revise their essays based on feedback, utilizing AI tools for grammar and style suggestions, such as ProWritingAid.

6. Data Analysis and Improvement

6.1 Performance Metrics

The system collects data on student performance and grading trends, which can be analyzed using AI analytics tools like Tableau or Google Data Studio.

6.2 Continuous Improvement

Based on data analysis, educators can refine grading rubrics and feedback mechanisms, ensuring the system evolves to meet educational needs.