What is AI grading?
AI grading is the use of artificial intelligence to score student work—essays, short answers, exams—based on criteria you define. The AI applies your rubric consistently and returns scores and feedback in minutes, so you spend less time on routine grading and more on teaching.
How does AI grading work?
You provide a rubric (and optionally sample answers). Students submit work digitally or via scans/photos. The AI reads the responses, applies your rubric, and generates a score and feedback. You can review and override any grade before releasing to students. Tools like GradeLab also support handwritten answer sheets via OCR, so paper-based tests can be graded the same way.
Best practices for AI grading
Use clear, explicit rubrics. Start with a few assignments to calibrate. Review flagged or low-confidence items. Keep humans in the loop for high-stakes or borderline cases. Use AI to handle the bulk so you can focus on feedback that matters most.
AI grading tools compared
Different tools focus on different needs: essay-only, exam-only, or full assessment workflows. Some integrate deeply with LMSs; others are standalone. We compared several AI grading tools for teachers—see our AI grading tools for teachers page and the full comparison. GradeLab is built for rubric-based grading across essays, exams, and handwritten work.
Implementation
Start with one course or assignment type. Define your rubric, run a pilot, then scale. Most teachers use AI grading for routine or formative work first and keep manual review for high-stakes exams until they’re comfortable. For product-specific steps, see AI grading, essay grader, test grader, and pricing.