Teaching and Learning Resources on Generative AI

This article aims to help faculty learn more about how to develop an approach to managing generative AI in their courses, including guidelines for how to develop a generative AI policy.

  1. Five Steps to Managing Generative AI in Your Classroom
  2. Beyond Policy to Rethinking Assessment
  3. Faculty Pause: Your Use of GenAI in Teaching
  4. Privacy Considerations, Specifically with ChatGPT

Five Steps to Managing Generative AI in Your Classroom

 

Step 1: Refine your teaching and learning goals and learn about Generative AI

 

Step 2: Test your assessments in a genAI tool.

 

Step 3: Decide how to define appropriate usage of generative AI (with student input) 

 

Step 4: Develop assessments and a genAI policy.

 

Step 5: Talk about genAI with your students.

Beyond Policy to Rethinking Assessment

Having a course AI policy is a good start. You also may have found that assessments you've relied on for years are no longer valid in an age of AI. If you have not spent time thinking about the assessments in your course in the past few years, now is the time!

Begin by reading:

Then, browse strategies:

  1. Rethinking assessment strategies in the age of artificial intelligence (AI) (Charles Sturt University)
  2. Course and Assignment (Re-)Design (University of Michigan)
  3. Integrating AI into Assignments to Support Student Learning (Derek Bruff)
  4. Key Features of High Impact Practices (George Kuh) | High Quality Impact Practices (Peter Felton)

 

Faculty Pause: Your Use of GenAI in Teaching

As generative AI tools become more available, it’s important for faculty to reflect on how and why they use these tools in their own teaching practice. Whether creating lessons, grading, or designing whole courses, thoughtful use helps preserve the human-centered values of teaching and learning.

Begin by exploring:

Then, go through the following reflection prompts:

  1.  Where in my teaching/assessment workflow do I currently use (or plan to use) generative AI?
    → e.g., drafting lesson slides, creating quizzes, grading short responses, generating rubrics.

  2. What am I hoping to achieve by using AI in that space (e.g., save time, increase consistency, enhance creativity)?
    → List benefits

  3. What might I be risking by outsourcing or automating that part (e.g., loss of personal feedback, decreased student‐instructor connection, bias/unintended messages about value of student work)?
    → Reflect on how you’ll monitor for those risks.

  4. What guardrails will I put in place to ensure the human element remains central?
    Examples: human review of all AI outputs, explicit disclosure to students, iterative drafts with instructor feedback, reflection prompts for students about how AI was used.

Privacy Considerations, Specifically with ChatGPT

When faculty are designing learning activities for courses, keep in mind the only GenAI app ITS supports is Google's Gemini App, as well as Gemini powered NotebookLM and Gems–all three have enterprise-grade data protection.

ITS does not currently engage in a contract with OpenAI (or other entities) to "License" ChatGPT for the College due to its prohibitive enterprise cost. ITS normally covers things like protecting FERPA data as part of the process of entering into contracts with vendors. Therefore, the various terms and policies on OpenAI's website will apply to faculty AND students on an individual basis. Therefore, if faculty want to require students create a ChatGPT account (or another similar platform), faculty should not only inform students of the limitations of such platforms (i.e., they can provide inaccurate or biased information, fabricated quotes, etc.) but also potential data privacy concerns. Everyone who chooses to create an account should review the terms and privacy policy to fully understand the provisions permitting the sharing of information. It is important to note that there is no recognition of potential FERPA data being entered into the system, so, therefore, there are no precautions being taken to keep that data confidential nor identifying data in that fashion.

ChatGPT has noted the following privacy concerns that students need to be aware of (along with faculty):

  • Data Collection: ChatGPT collects and stores information about the user's interactions, which could include sensitive information such as personal details or confidential academic information.  ChatGPT ignores "Do Not Track" settings.
  • Data usage: ChatGPT may use the data collected for research, analysis or commercial purposes.
  • Data security: There is always a risk of data breaches and unauthorized access to the information stored by ChatGPT.
  • Data retention: ChatGPT may retain data for an indefinite period of time, which could lead to privacy issues in the future.

If you haven't created a ChatGPT account yet, individuals are required to enter a phone number to use for verification (can receive SMS) which some people may not be comfortable providing.

INSTRUCTIONAL DESIGN PERSPECTIVE RE: DATA PRIVACY

If faculty decide they'd like students a generative AI chat tool, the College encourages the use of Google's Gemini App with enterprise-grade data protection that ITS provides students through their MyApps login. If faculty decide to use ChatGPT (or a similar, "free" generative AI tool), then they should intentionally design an alternative way of completing the assignment that removes any requirement that students must create a personal account as a part of their grade. Students should be informed of the privacy considerations mentioned above and given the agency to decide whether or not they feel comfortable creating the account or not. 

 

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As part of the College’s ongoing effort to harness the power of AI to improve productivity, the Google Gemini app (gemini.google.com) is available for the Union community. Gemini provides access to Google AI models, which will allow you to chat with the Gemini app to brainstorm ideas, answer questions, create and summarize content, get feedback and more.
NotebookLM is an AI-driven platform that transforms your course documents into interactive knowledge bases. It allows both you and your students to generate targeted summaries. ask nuanced questions about the content, discover meaningful connections between texts.