How Will Generative AI Change My Course (GenAI Checklist)?

With the growing prevalence of generative AI applications like ChatGPT and the ongoing discussions surrounding their integration in higher education, it can be overwhelming to contemplate their impact on your courses, learning materials, and field. As we navigate these new technologies, it is crucial to reflect on how generative AI can either hinder or enhance your teaching methods. CATL has created a checklist designed to help instructors consider how generative artificial intelligence (GAI) products like Copilot, ChatGPT, and more may affect your courses and learning materials (syllabi, learning outcomes, and assessment).

Each step provides guidance on how to make strategic course adaptations and set course expectations that address these tools. As you go through the checklist, you may find yourself revisiting previous steps as you reconsider your course specifics and understanding of GAI.

Checklist for Assessing the Impact of Generative AI on your Course

View the 2024 Checklist for Assessing the Impact of Generative AI on your Course as a PDF.

Step One: Experiment with Generative AI

  • Experiment with GAI tools like Copilot (available to UWGB faculty, staff, and students), ChatGPT, or a similar application by inputting your own assignment prompts and assessing their performance in completing your assignments.
  • Research the potential benefits, concerns, and use cases regarding generative AI to gain a sense of the potential applications and misuses of this technology.

Step Two: Review Your Learning Outcomes

  • Reflect on your course learning outcomes. A good place to start is by reviewing this resource on AI and Bloom’s Taxonomy which considers AI capabilities for each learning level. Which outcomes lend themselves well to the use of generative AI and which outcomes emphasize your students’ distinctive human skills? Keep this in mind as you move on to steps three and four, as the way students demonstrate achieved learning outcomes may need to be revised.

Step Three: Assess the Extent of GAI Use in Class

  • Assess to what extent your course or discipline will be influenced by AI advancements. Are experts in your discipline already collaborating with GAI tools? Will current or future careers in your field work closely with these technologies? If so, consider what that means about your responsibility to prepare students for using generative AI effectively and ethically.
  • Determine the extent of usage appropriate for your course. Will you allow students to use GAI all the time or not at all? If students can use it, is it appropriate only for certain assignments/activities with guidance and permission from the instructor? If students can use GAI, how and when should they cite their use of these technologies? Be specific and clear with your students.
  • Revisit your learning outcomes (step two). After assessing the impact of advancements in generative AI on your discipline and determining how the technology will be used (or not used) in your course, return to your learning outcomes and reassess if they align with course changes/additions you may have identified in this step.

Step Four: Review Your Assignments/Assessments

  • Evaluate your assignments to determine how AI can be integrated to support learning outcomes. The previous steps asked you to consider the relevance of AI to your field and its potential impact on students’ future careers. How are professionals in your discipline using AI, and how might you include AI-related skills in your course? What types of skills will students need to develop independently of AI, such as creativity, interpersonal skills, judgement, metacognitive reflection, and contextual reasoning? Can using AI for some parts of an assignment free up students’ time to focus more on the parts that develop these skills?
  • View, again, this resource on AI capabilities versus distinctive human skills as they relate to the levels of Bloom’s Taxonomy.
  • Define AI’s role in your course assignments and activities. Like step three, you’ll want to be clear with your students on how AI may be used for specific course activities. Articulate which parts of an assignment students can use AI assistance for and which parts students need to complete without AI. If AI use doesn’t benefit an assignment, explain to your students why it’s excluded and how the assignment work will develop relevant skills that AI can’t assist with. If you find AI is beneficial, consider how you will support your students’ usage for tasks like editing, organizing information, brainstorming, and formatting. In your assignment instructions, explain how students should cite or otherwise disclose their use of AI.
  • Apply the TILT framework to your assignments to help students understand the value of the work and the criteria for success.

Step Five: Update Your Syllabus

  • Add a syllabus statement outlining the guidelines you’ve determined pertaining to generative AI in your course. You can refer to our syllabus snippets for examples of generative AI-related syllabi statements.
  • Include your revised or new learning outcomes in your syllabus and consider how you will emphasize the importance of those course outcomes for students’ career/skill development.
  • Address and discuss your guidelines and expectations for generative AI usage with students on day one of class and put them in your syllabus. Inviting your students to provide feedback on course AI guidelines can help increase their understanding and buy-in.

Step Six: Seek Support and Resources

  • Engage with your colleagues to exchange experiences and practices for incorporating or navigating generative AI.
  • Stay informed about advancements and applications of generative AI technology.

Checklist for Assessing the Impact of Generative AI on Your Course © 2024 by Center for the Advancement of Teaching and Learning is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

Want More Resources?

Visit the CATL blog, The Cowbell, for more resources related to generative AI in higher education.

Need Help?

CATL is available to offer assistance and support at every step of the checklist presented above. Contact CATL for a consultation or by email at CATL@uwgb.edu if you have questions, concerns, or perhaps are apprehensive to go through this checklist.

 

 

Considerations for Using Generative AI Tools

Staying updated on the rapidly evolving generative-AI tools can be challenging, and educators may hold divergent (and strong!) views about them. In a previous article, we introduced generative-AI technologies, their capabilities, and implications for higher education. While some educators are enthusiastic about incorporating AI into their teaching methodologies, others may harbor doubts, apprehensions, or simply lack interest in exploring these tools. Regardless of one’s stance, understanding the disruptive impact of these technologies is crucial as we grapple with their ethical and pedagogical implications as educators.

In this article, we will explore some considerations for using generative-AI tools in the classroom, including preliminary precautions and ethical concerns. The more we understand these technologies, the better we can adapt to maximize their potential benefits while minimizing their negative impact.

Things to Consider When Using AI-Powered Tools in your Courses

Understand the inevitability of advancing AI technology.

AI, like many other recent technologies (e.g., personal computers or the internet), will continue to advance and not go away. In fact, they will progress and become better than previous models. This is not something we can “outrun.”

Encourage dialogue on the impact of AI in education

Consider discussing AI technology and its implications with your department, colleagues, and students. In what ways will generative-AI tools change the nature of learning outcomes and even careers in your discipline? How are other instructors responding? In what ways can instructors support each other as they each grapple with these questions?

Provide clear communication with your students on expectations

Whichever camp or situation you may fall into, it is always important to provide students with clear expectations for their use of AI in the classroom. Be specific in your syllabi and assignment descriptions about where and when you will allow or prohibit the use of these tools. You should also make sure whatever guidance you provide is also consistent with UWS Chapter 14 and the communications from our Provost Office. For example statements, view our Syllabus Snippets related to generative-AI. 

Use generative-AI tools with caution

Exercise caution when using generative-AI tools because the information provided by them may not always be accurate. AI creators, like OpenAI, are upfront about the fact that ChatGPT’s answers aren’t always correct. Due to their ability to hallucinate facts and resources, it’s best to avoid using these tool as a primary source. Be sure to also watch out for potential bias that can appear in outputs by these tools as they are trained on human-generated data.

Offer alternatives for privacy-minded students

If you are asking students to complete an assignment using generative-AI technology, you will also want to provide an opt-out or alternative assignment because students may legitimately not want to provide personal information to sign-up and use certain AI technologies. Many tools openly state they will sell that information.

AI detection tools are not perfect

When using Turnitin’s AI writing detection indicator, it is important to note that there is currently insufficient data to validate its effectiveness. Therefore, results from such reports should be treated as signals that additional review may be necessary. If you suspect academic misconduct, be prepared to support the claim with additional information beyond the detection tool’s report.

Consider ethical and legal issues when using AI tools

As instructors, it is also important to consider the potential ethical, legal, and security risks of AI technologies. Many generative-AI tools are “trained” on the data we put into them, so we must exercise caution when providing prompts to the tools. For example, never put students’ personal information into an AI-powered tool, as this may violate FERPA. Asking students to submit their work (or doing it yourself) to get feedback from ChatGPT or a similar resource puts their intellectual property into the public domain. This should not be done without their explicit consent.

Prepare students to use AI effectively

If you assign tasks that require students to use AI technology, it is important to provide clear instructions about how to do so and not assume students already know. Consider incorporating a discussion on the benefits, limitations, cautions, and ethics of using generative-AI. This could be a valuable in-class activity.

Don’t get caught up in the smoke

Although the capabilities of generative-AI can be scary or worrying at this point, it is best to not get bogged down in the negatives of AI or focus on how to detect cheating through AI use. Are you worried about what AI tools mean for your course materials? Schedule a consultation with us. CATL is here to help!

Learn More

Explore even more CATL resources related to AI in education:

If you have questions, concerns, or ideas specific to generative AI tools in education and the classroom, please email us at catl@uwgb.edu or set up a consultation!