Providing Feedback & Assessing Learning

Designing AI-Enhanced Assessments

Generate new assignments and assessments or revise existing ones.
Create detailed, comprehensive rubrics aligned with student learning goals.
Align AI use with specific student learning objectives.
Design projects and assessments that use AI in specific ways.
Collaborate with students on guided questions and prompts they might use.
Explore the use of AI learning logs with students for reflecting on the thinking and learning they doing.
Assign AI critiques to analyze and verify AI responses for bias, misinformation, and hallucinations.

Have students use AI to create a draft, then ask them to deconstruct and edit it, turning in both versions for comparison.

Have students generate an argument on a topic using AI, then write a human-crafted counterargument.

Have students analyze AI output and compare it to course content, then reflect on their research and writing process for future improvement.

Have students create rubrics to assess AI-generated responses, then judge and rank responses based on established criteria.

Have students generate solutions through dialoging back and forth.

Have student practice facilitating conversations or interviewing for a job through prompting with specific contexts.

Generate personalized feedback templates informed by your expertise and student learning goals.
Create consistent feedback frameworks across assignments.
Develop scaffolded feedback for different learning levels.
Explain how feedback and assessment supports student learning.

Bowen, José Antonio and Watson, C. Edward. (2024) Teaching with AI: A Practical Guide to a New Era of Human Learning. Johns Hopkins U Press.

Dobrin, Sidney I. (2023) AI and Writing. Broadview Press

Elon University and the American Association of Colleges and Universities. (2025). “AI-U Student Guide to Artificial Intelligence 2025.”