Best Practice: Use Generative AI for Assessment and Feedback

Instructors can utilize generative AI to automate assessments and provide immediate, personalized feedback to learners. This helps identify areas of improvement and supports learning progress.

Applicable Principles (the why)

Academic Integrity

  • Instructors and learners should use AI in ethical ways.
  • Instructors and learners must acknowledge when and how they have used AI in learning.

Keeping Humans in an Active Role

  • Instructors and learners should balance AI and Human work.
  • Instructors should facilitate learning with AI.

Complementing Creativity

  • Instructors should consider roles for AI within assignments that develop learner metacognitive skills.
  • Learners should use AI to build on their own original, creative ideas and experiences, rather than replace them.

Inclusion, Equity, and Access

  • Instructors and learners should be aware of potential biases in their use of AI.
  • Instructors and learners should have equitable access to generative AI tools and their needs should be accommodated.

Data Privacy and Security:

  • Instructors and learners must their privacy and security protected.

Practical Application (the what)

Instructors can leverage generative AI tools to automate assessments such as assignments, quizzes, or tests. They also can program the tools so that they provide immediate feedback based on preset criteria such as correctness or completeness. This feedback can be personalized to each learner’s strengths and weaknesses.  It can also incorporate peer feedback that can be analyzed by generative AI tools to ensure quality and consistency. Generative AI tools can analyze different content and provide real-time feedback on activities, presentations, and discussions. It can also identify patterns and trends and provide instructors with information on knowledge gaps and misconceptions to address. 

Instructors can also connect learners’ performance on assessments to and adjust the difficulty level and content of the learning materials. While some generative AI models are quite accurate, no current model is free from hallucinations and misunderstandings. Students and instructors should consider AI assessment and feedback critically, and any assessment performed by generative AI should be reviewed by a human before being used for evaluation.

Resources