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Grading and Feedback with Artificial Intelligence

Description: Explore how generative AI can support grading and help you provide feedback students can use. Consider which tasks AI might assist with, where your judgment is essential, and how to protect student work and explain your process. Develop an approach that supports fair evaluation, makes grading more manageable, and helps students act on feedback.

Learning Outcome(s):

  1. Develop an AI-assisted grading approach that preserves instructor responsibility, student rights, and meaningful human review.
  2. Identify appropriate and inappropriate roles for generative AI in grading and feedback.
  3. Evaluate AI-assisted grading practices for fairness, bias, consistency, and alignment with course expectations.
  4. Apply privacy, FERPA, intellectual property, transparency, and institutional requirements when using AI with student work.
  5. Design feedback practices, with or without AI, that help students understand, act on, and learn from the feedback they receive.


Type: Mini-course

Cadence: Spring

Modality: Virtual, Asynchronous

Length: 1 week

Engagement Time: 3-4 hours

Pathway: Teaching with AI

Certification Offered: Credly