Automated Grading and Feedback Workflow with AI Integration

Automated Assignment Grading and Feedback

1. Assignment Submission

1.1 Student Submission

Students submit their assignments through an online learning management system (LMS) such as Moodle or Canvas.

1.2 Document Format

Assignments can be submitted in various formats including Word documents, PDFs, or Google Docs.

2. Initial Assessment

2.1 AI-Powered Plagiarism Check

Utilize AI-driven tools like Turnitin or Grammarly to check for originality and plagiarism in submitted assignments.

2.2 Content Quality Analysis

Implement AI tools such as Copyleaks to assess the quality of writing, coherence, and structure of the assignments.

3. Automated Grading

3.1 Grading Rubric Configuration

Instructors define grading criteria and rubrics within the LMS, which can be integrated with AI grading systems.

3.2 AI Grading Tools

Utilize AI-driven grading platforms like Gradescope or Quillionz to automatically evaluate assignments based on predefined rubrics.

4. Feedback Generation

4.1 Automated Feedback Creation

AI tools such as FeedbackFruits can generate personalized feedback based on the grading results and student performance.

4.2 Tailored Suggestions

Provide specific recommendations for improvement using AI analytics tools that analyze common errors or areas needing enhancement.

5. Review and Finalization

5.1 Instructor Review

Instructors review AI-generated grades and feedback to ensure accuracy and appropriateness before final submission.

5.2 Final Grades Submission

Once approved, final grades are submitted through the LMS for students to access.

6. Student Access to Feedback

6.1 Feedback Distribution

Students receive automated notifications through the LMS when their grades and feedback are available for review.

6.2 Follow-Up Resources

Provide links to additional resources or tutorials based on common feedback themes identified by AI tools.

7. Continuous Improvement

7.1 Data Analysis

Analyze grading data and feedback trends using AI analytics tools to identify areas for curriculum improvement.

7.2 Instructor Training

Facilitate professional development sessions for instructors on effectively utilizing AI tools for grading and feedback.