AI USE CASES

Explore your curiosity with artificial intelligence

AI is enabling, and it’s for everyone. It’s a tool that has great potential to support the learning process for students, to expand teaching capability for faculty, and to increase capacity for non-instructive staff supporting the student experience.

Like AI, the list of use cases below is ever evolving. At UW-Whitewater, we offer a broad range of relevant and academically challenging programs that allow students to grow intellectually and creatively. The examples below should be used as a complement to that growth.

Faculty use cases

Using AI to create real-world case scenarios for student engagement
The idea: Leverage generative AI to quickly generate realistic, discipline-specific scenarios that require students to apply course concepts to authentic problems or challenges.

Make learning more applied, relevant, and engaging

Real-world scenarios help students bridge theory and practice—but designing them can be time-consuming. AI helps instructors draft thoughtful, content-aligned cases that invite analysis, decision-making, and creativity. This saves time while increasing student engagement and critical thinking.

  1. Identify a course topic or learning outcome
    1. Choose a key concept, skill, or learning outcome students need to demonstrate
  2. Use an AI tool to draft a scenario
    1. Use a generative AI tool like ChatGPT or Google Gemini.
    2. Feed it details about your course, the type of challenge you want, content you would like them to apply, and the learning level of your students.
  3. Review and customize the scenario
    1. Adjust tone, difficulty, and context to match your audience.
    2. Add guiding questions or tasks for students to complete in response.
  4. Deploy in your course
    1. Use in discussions, assignments, quizzes, or reflections.
    2. Consider adding variations or follow-up twists to promote deeper thinking, connection, and learning.

Sample prompt to use with AI

“I teach an undergraduate marketing course. Generate a realistic case scenario where a small business must decide between two marketing strategies to increase online engagement. The case should include background on the company, data from their audience, the options they’re considering, and challenges they face. Keep it concise and appropriate for college students.”

Tweak for tone and relevance
If the AI’s first draft is too generic or far-fetched, ask it to localize the setting, simplify the language, or add complexity as needed.

Add depth with follow-up questions
Ask the AI to generate 2–3 discussion or reflection questions aligned to your course outcomes. You can use these as part of a follow-up or connecting activity!

Use AI to create multiple versions
Get several variations of a scenario for use in different modules, practice sets, groups, or assessments.

Involve students (optional)
Once they’ve engaged with a scenario, ask students to use AI to create a follow-up challenge for peers or next year’s students.

Using AI to draft effective rubrics for student feedback and grading
The idea: Instructors use AI to generate or refine grading rubrics that clearly communicate assignment expectations, make grading more efficient, and provide better feedback to students.

Save time, clarify expectations, and improve student learning

Rubrics are one of the most powerful tools for supporting student success, but creating them from scratch can be time-consuming. A well-designed rubric helps students understand what quality work looks like and gives instructors a consistent, transparent framework for feedback and grading. With AI, instructors can quickly generate draft rubrics, refine existing ones, or explore alternative approaches based on their goals and preferences.

  1. Prepare your assignment materials
    1. Upload or copy/paste your assignment instructions into your AI tool.
    2. Specify how many points the assignment is worth overall and how you’d like those points distributed across the criteria.
  2. Optionally share a rubric you like
    1. If you have a rubric you like — either from another assignment or source — share that with the tool as an example. This helps the AI match your tone, structure, and preferences.
  3. Use AI to draft a rubric
    1. Ask the AI to generate an analytic or holistic rubric based on your materials.
    2. Request clear performance level descriptions (e.g., Excellent, Good, Satisfactory, Needs Improvement).
  4. Customize and align
    1. Edit the AI-generated rubric to match your voice and course rigor.
    2. Make sure criteria align directly with assignment goals and course learning outcomes.
    3. Finalize the point breakdown and clarify descriptors.
    4. Don’t be afraid to point out changes and ask the AI tool for edits!
  5. Share with students early
    1. Include the rubric with the assignment instructions in your LMS so students know how their work will be evaluated.
  6. Use for feedback
    1. During grading, use the rubric to highlight strengths and growth areas—saving you time while giving students meaningful guidance.

Sample prompt to use with AI
“I’m teaching a graduate-level instructional design course. Please generate an analytic rubric for a 20-point project proposal assignment. Students should be evaluated on clarity of problem framing (5 points), integration of theory (5 points), proposed solution and rationale (5 points), and quality of writing and organization (5 points). I’ve uploaded the assignment instructions. Please write performance levels for Excellent, Good, Satisfactory, and Needs Improvement. Use clear, student-friendly language.”

Include Assignment Instructions
Upload or paste your assignment into the chat or file interface so the AI understands the context and expectations.

Be Specific About Points and Weighting
Tell the AI how many total points the assignment is worth and how you'd like those distributed across categories. You’ll get more aligned results.

Share a Sample Rubric You Like
This helps the AI match your preferred tone, layout, and granularity of feedback.

Don’t Just Accept the First Draft
Ask the AI to rewrite vague criteria, balance the levels, or adjust for Bloom’s taxonomy verbs if needed.

Use Rubrics Across Multiple Purposes
Repurpose the same rubric structure for peer review, self-assessment, or formative checkpoints.

Staff use cases

Using AI to conduct SWOT analysis on a website
The idea: Use ChatGPT to help you compare two websites and generate a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis. Great for competitive analysis, marketing reviews, or user experience assessments.

 This helps you quickly identify what’s working and what’s not on a site — whether it’s your own or a competitor’s. It’s useful for redesign planning or improving communication structure.

  • Provide links to two websites you want to compare.
  • Ask ChatGPT to review tone, usability, structure, and clarity.
  • Request a SWOT analysis summarizing findings.
  • Be clear on what you want to evaluate (tone, layout, calls to action, etc.).
  • This works well when preparing redesign proposals or justifying UX changes.

Using AI to assess attitude in open-ended surveys
The idea: Use a platform that can use AI to analyze individual and group sentiment when surveying students, faculty, staff and alums about UW-Whitewater.

  • Speeds up the process of long, quantitative surveys; can get down to 8-10 open-ended questions instead of 50-60 questions
  • Acts as a substitute for focus groups, which require a lot of scheduling and logistics; it’s an asynchronous way to get feedback
  • Speeds up analysis
  • Generates testimonials that can be used for marketing materials
  • Allows for combination of multiple studies with different audience groups

Survey questions are distributed, and participants are allowed to respond by video, audio or text. The AI platform takes the responses and generates high-level themes and takeaways in addition to analysis of each survey response. Distributors can use the software’s AI tools to look for common perceptions across audience segments and ascertain the implications for the institution’s brand identity and potential future academic offerings.

  • Allow those being surveyed to submit text to be inclusive of all (some don’t like their voice heard)
  • Use open-ended questions to allow people to answer “in their own words”
  • Make sure to review the transcript when the voice comes in - words can be misspelled or misheard (e.g, Whitewater can be labeled white water)

Using AI for student customer service
The idea: Develop an AI chatbot to answer common student questions and connect students to physical resources on campus to support retention efforts. The chatbot would be available 24/7.

  • Save time and cost of human work
  • Increase student interaction with resources on campus through chatbot referrals
  • Pair this resource with UW-Whitewater’s One Stop (physical space) and web page to create a multi-layered approach to student retention
  • Create a pipeline for student stories, feedback, and testimonials
  • Streamline outreach support (e.g., to students who have holds on their accounts)
  • Define goals and objectives for your chatbot
  • Choose a suitable platform and technology
  • Design conversational flows and create a user-friendly interface
  • Using historical data and common questions, train the chatbot using data sets
  • Test the chatbot and continue to make changes based on user interactions
  • Prioritize customer service / user experience
  • Ensure data security and privacy for the user
  • Integrate the chatbot with web and social media platforms
  • Continually monitor, update and improve the chatbot