Automated Grading and Feedback with AI Integration Workflow

Automated Grading and Feedback Generation

1. Submission of Student Work

1.1. Upload Mechanism

Students submit their assignments through a dedicated online portal.

1.2. File Format Validation

The system checks for acceptable file formats (e.g., PDF, DOCX) using validation tools.

2. Preprocessing of Submitted Work

2.1. Text Extraction

Utilize Optical Character Recognition (OCR) tools, such as Google Cloud Vision, to convert scanned documents into editable text.

2.2. Plagiarism Detection

Implement AI-driven plagiarism detection tools like Turnitin or Grammarly to ensure originality.

3. Automated Grading

3.1. Rubric Definition

Define grading rubrics using AI algorithms to assess various criteria (e.g., content quality, structure, grammar).

3.2. AI Grading Tool Integration

Integrate AI tools such as Gradescope or Cognii, which can evaluate assignments based on predefined rubrics.

3.3. Feedback Generation

Employ natural language processing (NLP) models to generate personalized feedback based on the grading outcomes.

4. Review and Finalization

4.1. Instructor Review

Instructors review AI-generated grades and feedback for accuracy and relevance.

4.2. Adjustment Mechanism

Allow instructors to adjust grades or feedback if necessary, ensuring human oversight in the evaluation process.

5. Feedback Delivery

5.1. Student Notification

Notify students via email or the learning management system (LMS) of their grades and feedback.

5.2. Access to Feedback

Provide students with access to detailed feedback through the LMS, utilizing tools like Canvas or Moodle.

6. Data Analysis and Improvement

6.1. Performance Analytics

Utilize analytics tools to evaluate overall student performance trends and identify areas for improvement.

6.2. Continuous Improvement

Regularly update grading rubrics and feedback mechanisms based on data insights and instructor feedback.

7. Reporting and Compliance

7.1. Generate Reports

Automate the generation of performance reports for administrative review using tools like Tableau or Power BI.

7.2. Compliance Checks

Ensure that all grading practices comply with educational standards and institutional policies.