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Faculty Resources · Teaching Toolkit

Artificial Intelligence

Set clear expectations, protect student and institutional information, and keep human judgment responsible for consequential decisions.

Set course expectations

AI encouraged

State the purpose

Identify acceptable tools, required disclosure and how students must verify AI-assisted work.

AI permitted with limits

Name the boundaries

Specify the stages or tasks where assistance is allowed and what independent work must remain.

AI not permitted

Explain why

Explain why independent performance matters for the learning outcome and make the expectation visible in the assignment.

Suggested college guideline: submitting AI-generated work may be treated as an academic-integrity issue when the instructor has not approved its use. Course- and assignment-specific expectations should make the allowed use clearer for students.

Design around evidence of learning

  • Make the learning outcome explicit.
  • Decide whether AI use supports or interferes with that outcome.
  • Ask for process evidence when process matters: notes, drafts, sources, decisions or reflection.
  • Use authentic and observable tasks when appropriate.
  • Tell students how AI assistance should be disclosed or cited.

If you suspect unauthorized AI use

01

Review the expectation

Start with the course and assignment rules the student was given.

02

Review the work and process

Look at drafts, sources, revision history, notes and other relevant evidence.

03

Talk with the student

Use a non-accusatory conversation to understand how the work was produced.

04

Use the normal process

If the evidence supports an academic-integrity concern, follow the college’s established process.

Do not treat an AI-detector score as proof. Detector results can be wrong and should not replace evidence, conversation or faculty judgment.

Using AI in teaching

Brainstorm

Generate examples, discussion prompts, alternative explanations or starting points for lesson planning.

Draft and revise

Use AI to generate a first draft of instructions, rubrics or practice material, then revise it with your disciplinary judgment.

Teach AI literacy

Ask students to critique AI output, verify claims, examine sources and discuss appropriate use.

Responsible use

Do not put protected student or institutional information into an unapproved AI service.

Verify facts, citations, calculations and policy claims rather than treating generated output as authoritative.

Keep a qualified person responsible for grading, accommodations and other consequential decisions.

Be transparent with students when AI materially affects course content or expectations.