AI-Assisted Grading

Human in the loop, by design

Labflow’s AI-assisted grading complements, rather than replaces, the educator. Instructors retain full control over the grading process, selecting which assessment items AI evaluates based on the instructor’s specified criteria. TAs remain responsible for providing student feedback—we just make the process a little easier!

Overview of the process

The first step of Labflow’s AI-assisted grading is refining the assessment question itself to generate a precise, criteria-based rubric aligned with the question prompt and learning objectives for the assignment. The AI enhances the rubric based on the original question, grading directions, and additional context from the assignment and the instructor’s laboratory manual. This ensures that the AI-assisted grading process is anchored in your course content—not just anything from the web. Better prompts lead to clearer rubric criteria, making expectations more transparent to students and improving assessment accuracy.

As an instructor, you have the opportunity to edit the rubric at this stage. You can adjust the point values for each criterion, remove rubric criteria, or revise the original question and re-run the AI-enhancement.

Once the question is finalized, the AI assesses student responses against each rubric criterion, providing a suggested determination of whether the student has met the criterion or not. In addition, each suggestion includes a clear rationale for the AI’s decision. If the AI cannot confidently decide, it explains its uncertainty, leaving the final judgement to the grader.

Instructors remain in complete control throughout the process, using AI as a tool to enhance efficiency while maintaining grading integrity. This flexibility allows you to test AI-assisted grading with your TAs, gradually building confidence in the process. By streamlining workflows without sacrificing quality, AI-assisted grading helps ensure students receive fair, consistent, and well-supported evaluations.

Key Points

  • Instructors review AI-suggestions

  • Graders use AI suggestions to sort student responses

  • AI suggestions include a rationale

  • Graders accept, modify, or override suggestions

  • Graders provide personalized feedback

Original question with a rubric

AI-Enhanced question with criterion rubric