What is Generative Artificial Intelligence (GAI)? Exploring AI Tools and Their Relationship with Education

Generative Artificial Intelligence (GAI) and machine-generated content have become prominent in educational discussions. Amidst technical jargon and concerns about the impact of traditional learning, writing, and other facets, understanding what these tools are and what they can do can be overwhelming. This toolbox guide provides insights into some commonly used generative AI tools and explains how they are changing the landscape of higher education.

What is Generative AI?

CATL created a short video presentation in Fall 2023 that provides instructors with an introduction to generative AI tools. The video and the linked PowerPoint slides below can help you understand how generative AI tools work, their capabilities, and their limitations. Please note, minor parts of the tool identification in the video have been corrected below in the ‘Common Generative AI Tools’ section. 

Introduction to Generative AI – CATL Presentation Slides (PDF)

Microsoft Copilot – UWGB Supported GAI Tool

 Microsoft Copilot is the recommended tool for UWGB instructors and students for safety, equity, and GBIT technical support. Using Microsoft Copilot with your UWGB account will bypass the need for individuals to create personal accounts which require providing personal information in the sign-up process. Learn more about Copilot below.

  • Microsoft has created its own AI called Copilot using a customized version of OpenAI’s large language model and many of the features of ChatGPT. Users can interact with the AI through a chatbot, compose feature, or the with Microsoft Edge search engine. Microsoft is also rolling out Copilot-powered features in many of its Office 365 products, but these features are currently only available for an additional subscription fee.
  • Faculty, staff, and students can access Copilot (which uses both ChatGPT 4.0 and Bing Chat) with their UWGB account. Visit www.copilot.microsoft.com to try out Copilot or watch our short video on how to log in using a different browser. By logging in with UWGB credentials, a green shield and “protected” should appear on the screen. The specifics of what is/is not protected can be complicated, but this Microsoft document is intended to provide guidance. Regardless of potential protections, FERPA and HIPPA-protected information (student or employee) should not be entered.
home page for Microsoft Copilot
The Microsoft Copilot home page as of May 2024

Common Generative AI Tools

Since OpenAI released ChatGPT in November 2022, various companies have developed their own generative AI applications based on or in direct competition with OpenAI’s framework. Learn more about a few common, browser-based generative AI tools below.

  • ChatGPT is an AI-powered chatbot created by OpenAI. The "GPT" in "ChatGPT" stands for Generative Pre-trained Transformer.
  • ChatGPT previously required users to sign up for an account and verify with a phone number, but it can now be used without an account. Users can use the chatbot features of ChatGPT both with or without an account (currently version ChatGPT 3.5) or access more advanced models and features with a paid account (currently version ChatGPT 4.0). For more information or to try it yourself, visit chatgpt.com.
  • Google has created their own AI tool called Gemini (formerly Google Bard). Similar to ChatGPT and Copilot, Gemini can generate content based on users’ inputs. Outputs may also include sources fetched from Google.
  • Using Gemini requires a free Google account. If you have a personal Google account, you can try out Gemini at gemini.google.com.

 

Note that we are also learning more about potential access to Adobe Express and Firefly (including their image generation features) with UWGB login credentials, at least for employees. Watch this space for additional details as they become available.

What Can Generative AI Tools Do?

The generative AI tools we’ve discussed so far are all trained on large datasets that produce outputs based on patterns in that dataset. User prompts and feedback can be used to improve their outputs and models, so these tools are constantly evolving. Explore below to learn about some use cases and limitations of text-based generative AI tools.

Generative AI tools can be used in a multitude of ways. Some common use cases for text-based generative AI tools include: 

  • Language generation: Users can ask the AI to write essays, poems, emails, research papers, and Powerpoint presentations, or code snippets on a given topic.  
  • Information retrieval: Users can ask the AI simple questions like “explain the rules of football to me” or “what is the correct way to use a semicolon?”.
  • Language translation: Users can use the AI to translate words or phrases into different languages.  
  • Text summarization: Users can ask them to condense long texts, including lecture notes or entire books, into shorter summaries.
  • Idea generation: Users can use the AI to brainstorm and generate ideas for a story, research outline, email, or cover letter. 
  • Editorial assistance: Users can input their own writing and then ask the AI to provide feedback or rewrite it to make it more concise or formal.
  • Code generation: Users can ask the AI to generate code snippets, scripts, or even full programs in various programming languages based on specific requirements or prompts.
  • Image generation: Users can ask the AI to create images or visual content from text descriptions, including illustrations, designs or conceptual art.

These tools are constantly evolving and improving, but in their current state, many have the following limitations:

  • False or hallucinated responses: Most AI-powered text generators produce responses that they deem are likely answers based on complex algorithms and probability, which is not always the correct answer. As a result, AI may produce outputs that are misleading or incorrect. When asking AI complex questions, it may also generate an output that is grammatically correct but logically nonsensical or contradictory. These incorrect responses are sometimes called AI "hallucinations."
  • Limited frame of reference: Outputs are generated based on the user's input and the data that the AI has been trained on. When asking an AI about current events or information not widely circulated on the internet, it may produce outputs that are not accurate, relevant, or current because its frame of reference is limited to data that it has been trained on. 
  • Citation: Although the idea behind generative AI is to generate unique responses, there have been documented cases in which an AI has produced outputs containing unchanged, copyrighted content from its dataset. Even when an AI produces a unique response, some are unable to verify the accuracy of their outputs or provide sources supporting their claims. Additionally, AI tools have been known to produce inaccurate information, citations, and can even hallucinate citations 
  • Machine learning bias: AI tools may produce outputs that are discriminatory or harmful due to pre-existing bias in the data it has been trained.

The potential for GAI tools seems almost endless — writing complete essays, creating poetry, summarizing books and large texts, creating games, translating languages, analyzing data, and more. GAI tools can interpret and analyze language, similar to how human beings can. These tools have become more conversational and adaptive with each update, making it difficult to discern between what is generated by an AI and what is produced by a human, and the machine-learning models they are based upon imitate the way humans learn, so their accuracy and utility will only continue to improve over time.

What Does This Mean for Educators?

The existence of this technology raises questions about which tasks will be completed all or in part by machines in the future and what that means for our learning outcomes, assessments, and even disciplines. Some experts are discussing to what extent it should become part of the educational enterprise to teach students how to write effective AI prompts and use GAI tools to produce work that balances quality with efficiency. Other instructors are considering integrating lessons on AI ethics or information literacy into their teaching. Meanwhile, organizations like Inside Higher Ed have rushed to conduct research and surveys on current and prospective AI usage in higher ed to offer some benefits and challenges of using generative AI for leaders in higher education looking to make informed decisions about AI guidance and policy.

Next Steps for UWGB Instructors

The Universities of Wisconsin have issued official guidance on the use of generative AI, but the extent to which courses will engage with this technology is largely left up to the individual instructor. Instructors may wish to mitigate, support, or even elevate students’ use of generative AI depending on their discipline and courses.

Those interested in using these tools in the classroom should familiarize themselves with these considerations for using generative AI, especially regarding a tool’s accuracy, privacy, and security. As with any tool we incorporate into our teaching, we must be thoughtful about how and when to use AI and then provide students with proper scaffolding, framing, and guardrails to encourage responsible and effective usage.

Still, even for those who don’t want to incorporate this technology into their courses right now, we can’t ignore its existence either. All instructors, regardless of their philosophy on AI, are highly encouraged to consider how generative AI will impact their assessments, incorporate explicit guidance on AI tool usage in their syllabi, and continue to engage in conversations around these topics with their colleagues, chairs, and deans.

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!

a group of UWGB students in green t-shirts smiling and giving a thumbs up as they welcome new freshmen for move-in

Why Didn’t Anyone Do Today’s Reading? – Engaging Students by Building Relationships 

Article by Pamela Rivers

The semester is well under way. Your students have taken their first exam. Some are active and excelling. Others have stopped coming to class or are not completing the assigned readings. Welcome to the end of September.

Maybe you thought this time it wouldn’t happen. Everyone was eager and excited and answering your questions for the first few class sessions. Now, however, you are right back to encountering some disengaged students doing what feels like the bare minimum, and it’s eating away at your passion for teaching. Is this the fate for our classes, or are there more or different things we can do to reach students?

First, to be clear, engaging students is not magic, and although it should be informed by science, in many ways it’s also an art form. Like all art, some of it appeals to us and some of it doesn’t. No one can promise you a room full of fully engaged students who always turn in their homework, laugh at all your jokes, and come prepared every session. No trick or strategy works for every person, every time. There are, however, certain strategies you can employ to make it more likely your students will listen, attend, and want to do well, for you and for themselves.

Relationships Matter

In “Culturally Responsive Teachers Create Counter Narratives for Students”, Zaretta Hammond argues that relationships can be the “on ramp to learning.” She says that relationships can be as important as the curriculum. One research study cited in Relationship-Rich Education showed that alumni who had a faculty member who cared about them as a student felt more connected to their current jobs. Unfortunately, only 27% of graduates surveyed had someone in that role. This powerful research shows that developing relationships with our students not only engages them, but can also lead to their success down the road.

That is compelling research, and it can take a lot less than you might imagine to make a real difference in the lives of your students. Students want to know that you care, and they want to feel welcome in your classroom. Research suggests that colleges and universities need to invest in a “relentless welcome of their students,” (Felton and Lambert, 2020) but faculty can lead the way in their individual classrooms by integrating activities that build relationships and encourage engagement.

Getting to Know You Surveys

Before class starts, whether online or face-to-face, send out a “getting to know you” survey through Canvas. This survey can ask questions specific to your discipline, but it is also a place to show interest in your students and what might hold them back from being successful. You could ask about your students’ pronouns, how they prefer to be contacted, any worries they are having about your class, and any specific needs they have. You can find a lot out about a student by simply asking. Need a ready-made survey? Reach out to CATL to get a copy of our Canvas Template, which includes a sample survey.

Ice Breakers

When you hear the word “ice breakers,” you may groan. The truth is a silly, active icebreaker is a wonderful way to get face-to-face students moving and is a start to building classroom community (Sciutto, M.J., 1995). A people bingo game, for example, can help get students talking and will help them get to know each other. If you are teaching online, there are plenty of icebreakers you can do asynchronously, including video introductions or a game like two truths and a lie.

Class Norms

Developing a set of agreed-upon class norms (expectations or guidelines), both for your students and you, that everyone is involved in creating goes a long way toward building both trust and community. Next semester, take part of your first class session to have your students help you develop norms. If you need some ideas for what these class expectations might look like, check out the “Trust” section of this CATL toolbox article.

Make It Matter

Find ways to tie your assignments to students’ goals, lives, and futures. If you ask me to spend 2 hours every week looking up dictionary definitions for words I’ve never heard of for a random quiz that doesn’t seem to have any bearing on what I’m supposed to be learning in your course, I am unlikely to be motivated to keep spending my time looking in the dictionary. If, on the other hand, you explain to me the importance of the words I’m learning, how they will be useful in my next class, and even how they may show up on a licensing exam for my future career, my motivation changes.

Unplanned Conversations

In face-to-face or synchronous online courses, you can use the time before class or while students are working to chat with those students who are unoccupied. Mention something you liked about their work, ask how their weekend was, and show a genuine interest in them. You never know what you might learn in these conversations. It may not lead to anything, or it may lead to a student feeling seen. Establishing a friendly and open line of communication with students in this way also makes it more likely that they will feel comfortable coming to you if they have a question or issue in the class.

Give Your Students a Chance to be Successful

As you build up to the major coursework in your class, have small, low-stakes assignments that give them all an opportunity for success and to receive formative feedback. As students get a small taste of success, they will want to feel that more.

Use Your Students’ Names and Pronouns

Another way to make a student feel seen is by how you address them. Ask your students what they would like to be called and what pronouns they use in a “getting to know you survey” or some other activity at the start of the semester. If you are teaching a face-to-face class and are good with names, try to memorize their names and pronouns during the first few weeks and use them frequently. If you are teaching online or have more students than you can remember for a large face-to-face roster, ask students to complete the name pronunciation activity created by CATL to help instructors with names. In face-to-face classes, also consider having students create name tents that they can pull out for class use. These small steps show that you care about making them feel comfortable in class, and help students learn the names of their peers as well.

Engagement is Key for Student Success

There are no silver bullets for engagement, but hopefully there are a few things on this list that you can consider adding to your teaching practices. And the truth is, engagement matters. According to Miller in “The Value of Being Seen: Faculty-Student Relationships as the Cornerstone of Postsecondary Learning,” engaged students experience more academic success and have higher persistence rates. Keeping our students engaged gives them the best chance at success.

References

Cohen, E., & Viola, J. (2022). The role of pedagogy and the curriculum in university students’ sense of belonging. Journal of University Teaching & Learning Practice, 19(4), 1–17.

Felton, P., & Lambert, L. (2020). Relationship-Rich Education. Johns Hopkins University Press.

Hammond, Z. (2018, June 18). Culturally Responsive Teachers Create Counter Narratives for Students. Valinda Kimmel. September 12, 2023, valinda.kimmel.com

Lu, Adrienne. (2023, February 17). Everyone Is Talking About “Belonging,” but What Does It Really Mean? Chronicle of Higher Education, 69(12), 1–6.

Miller, K. E. (2020). The Value of Being Seen: Faculty-Student Relationships as the Cornerstone of Postsecondary Learning. Transformative Dialogues: Teaching & Learning Journal, 13(1), 100–104.

Sciutto, M. J. (1995). Student-centered methods for decreasing anxiety and increasing interest level in undergraduate. Journal of Instructional Psychology, 22(3), 277.

Session Recording: “Getting Starting with Canvas: Building Your First Module” (Aug. 25, 2023)

Session Description

New to Canvas and not sure where to start? In this one-hour workshop, we will walk you through the essentials for building your first module! Learn about the features you might need to prepare your class including pages, assignments, discussions, and quizzes.

Session Recording: “Creating and Sharing Video Recordings with Kaltura My Media” (Aug. 31, 2023) 

Session Recording

Instructors at UWGB can use Kaltura My Media to create, upload, and share videos in Canvas courses. Join us for a one-hour session where we will cover how to create and share engaging instructional videos with Kaltura’s easy-to-use media tools and unlimited storage space.