Generative Artificial Intelligence: Updates and Articles for Instructors

Welcome to our GAI resource-sharing blog page! Here you’ll find some of the latest updates and articles on generative AI, curated especially for faculty and instructional staff. While there are numerous resources available out there, CATL will share a select, timely sample of articles and perspectives to help instructors stay informed about new changes in AI technology and education.

For more in-depth, instructor-focused articles on generative AI by CATL, explore our AI Toolbox Articles.

Table of Contents

Generative AI Tools

UWGB faculty, staff, and students have access to Microsoft Copilot. Microsoft Copilot is a University supported tool that can be used with your UWGB account. Learn more about using and signing into Copilot below!

Stay updated on the different AI tools being created and discover what your peers or fields might be using!

(Resources in this section are updated biannually)

May 2023 – June 2024

  • Artificial Intelligence and the Future of Teaching and Learning, May 2023. This report by the Office of Educational Technology provides insights on how AI can be integrated into education practices, and recommended responses for educators.
  • The AI Index Report: Measuring trends in AI, April 2024. Created by the Institute for Human-Centered AI at Stanford University, this report provides an analysis of AI trends and metrics, including important insights into the current state and future direction of AI for educators grappling with the rapidly evolving technology and what it means for their teaching practices.
  • AI in 2024: Major Developments & Innovations, Jan. 3, 2024. This article provides a timeline of AI developments during 2023 and newest updates in 2024.
  • 2024 AI Business Predictions, 2024. This report by PwC describes how businesses are preparing for and incorporating AI, with predictions on future trends and AI strategies in the corporate world.

Monthly Resources for Educators

(Resources in this section are updated for each month)

August 2024

Tips for Teachers

  • Make sure your syllabus is ready for the upcoming semester! If you haven’t drafted an AI policy yet, now’s the time. Your students will have different experiences with generative AI—some may avoid it, while others are well-versed. Including a syllabus statement and a brief discussion on AI, even just 5 minutes, will help them understand your expectations.

Latest Educational Updates

July 2024

Tips for Teachers

  • Now that you’re signed into Copilot, give it a try with one of your assignments. You can ask Copilot to compare your assignments to the TILT framework, generate a prompt or activity with examples, or even see how well it completes the assignment and where it might miss the mark. This kind of practice will help build your confidence and comfort with using Copilot and might also offer new insights into your assignments.

Latest AI Tech Advancements

June 2024

Tips for Teachers

  • If you haven’t signed into Copilot with your UWGB account, now is the time! Microsoft Copilot, accessible through any browser and soon integrated into Windows 11, avoids using your personal email, which makes it a better alternative for classes. It doesn’t require providing, for example, a personal cellphone number for use, and it is available to all UWGB faculty, staff, and students with an institutional login and ID. Copilot also offers enhanced data protection when logged in using your UWGB account, although FERPA-protected and personally identifiable information should still not be entered. Watch this short video on how to log in. Remember, use any AI tool responsibly and always vet outputs for accuracy.

Latest Educational Updates

  • Latest AI Announcements Mean Another Big Adjustment for Educators, June 6, 2024. This article from EdSurge recaps some of the latest AI advancements that will heavily impact education and provides advice from instructors and ed tech experts on how to adapt.
  • AI Detectors Don’t Work. Here’s What to Do Instead, 2024. MIT’s Teaching & Learning Technologies Center critiques AI detection software and suggests better alternatives. The article advocates for clear guidelines, open dialogue, creative assignment design, and equitable assessment practices to effectively engage students and maintain academic standards.

May 2024

Tip for Teachers

  • Subscribe to the “One Useful Thing” blog by Ethan Mollick, an Associate Professor at the Wharton School of the University of Pennsylvania and Co-Director of the Generative AI Lab at Wharton.

Latest Educational Updates

Latest AI Tech Advancements

Generative Artificial Intelligence (GAI) and Acknowledging or Citing Use

UW-Green Bay’s libraries have an excellent student-facing webpage on how to acknowledge or formally cite the use of GAI. This blog is intended to supplement that resource with information more specific to instructors. Professors will be vital in helping students understand both the ethics and practicalities of transparency when employing GAI tools in our work. Please keep the following caveats in mind as you explore this resource.

  • As with all things GAI, new developments are rapid and commonplace, which means everyone needs to be on the alert for changes.
  • Instructors are the ones who decide their specific course policies on disclosing or citing GAI. The information below provides some options for formatting acknowledgments, but they are not exhaustive.
  • Providing acknowledgment for the use of GAI may seem straightforward, but it is actually a very nuanced topic. Questions about copyright implications, whether AI can be considered an “author,” and the ethics of relationships between large AI entities and publishing houses are beyond the scope of this blog. Know, though, that such issues are being discussed.
  • Please remember that it is not only important for students to acknowledge or cite the use of GAI. Instructors need to do so with their use of it, as well.

Acknowledgment or Citation of GAI

There is a difference between acknowledging the use of GAI with a simple statement at the end of a paper, requiring students to submit a full transcript of their GAI chat in an appendix, and providing a formal citation in APA, MLA, or Chicago styles.

  • UWGB Libraries have some excellent acknowledgment examples on their page.
  • UWM’s library page provides basic templates for citations intended to be consistent with APA, MLA, and Chicago styles.
  • There are also lengthy blog explanations and detailed citation examples available directly from APA, MLA, and the Chicago Manual of Style.

Regardless of the specific format being used, the information likely to be required to acknowledge or cite GAI includes:

  1. The name of the GAI tool (e.g., Copilot, ChatGPT)
    Microsoft Copilot, OpenAI’s ChatGPT 4.o (May 23, 2024 version), etc.
  2. The specific use of the GAI tool
    “to correct grammar and reduce the length in one paragraph of a 15-page paper”
  3. The precise prompts entered (initial and follow-up)
    “please reduce this paragraph by 50 words and correct grammatical errors”; follow-up prompt: “now cut 50 words from this revised version”
  4. The specific output and how it was used (perhaps even a full transcript)
    “specific suggestions, some of which were followed, of words to cut and run-on sentences to revise”
  5. The date the content was created
    August 13, 2024

Ultimately, instructors decide what format is best for their course based on their field of study, the nature and extent of GAI use permitted, and the purpose of the assignment. It is important to proactively provide specific information to students about assignments. Professors who are particularly interested in whether students are using GAI effectively may focus on the prompts used or even ask for the full transcript of a session. If, in a specific assignment, the instructor is more interested in students learning their discipline’s citation style, then they might ask for a formal citation using APA format. Although the decision is up to the professor, they should tell students in advance and strongly encourage them to have separate Word documents for each of their classes in which they save any GAI chats (including prompts and output) and their date. That way they have records to go back to; If they use Copilot with data protection, it does not save the content of sessions.

What Messages Might I Give to Students about Using, Disclosing, or Citing GAI?

Instructors should consider how they will apply this information about acknowledgments and citations in their own classes. CATL encourages you to do the following in your work with students.

  1. Decide on a policy for acknowledging/citing GAI use for each course assignment and communicate it in your syllabus and any applicable handouts, Canvas pages, etc.
  2. Reinforce for students that GAI makes mistakes. Students are ultimately responsible for the accuracy of the work they submit and for not using others’ intellectual property without proper acknowledgment. They should be encouraged to check on the actual existence of any sources cited by a GAI tool because they are sometimes “hallucinated,” not genuine.
  3. Talk to students about the peer review and publication processes and what those mean for source credibility compared to the “scraping” process used to train GAI models.
  4. Explain that GAI is not objective. It can contain bias. It has been created by humans and trained on data primarily produced by humans, which means it can reflect their very real biases.
  5. Communicate that transparency in GAI use is critical. Instructors should be clear with their students about when and how they may use GAI to complete specific assignments. At the same time, one of the best ways instructors can share the importance of transparency and attribution is through modeling it themselves (e.g., an instructor disclosing that they used Copilot to create a case study for their course and modeling how to format the disclosure).
  6. Remind students that even if the specific format varies, the information they are most likely to have to produce for a disclosure/acknowledgment or citation is: a) the name of the tool, b) the specific use of the tool, c) the prompts used, d) the output produced, and e) the date of use.
  7. Finally, encourage students to copy and paste all GAI interaction information, including an entire chat history, into a Word document for your course and to save it for future reference. One advantage of Microsoft Copilot with data protections is that it does not retain chat histories. That’s wonderful from a security perspective, but it makes it impossible to re-create that information once a session has ended. They should also know that even GAI tools that save interactions and use them to train their model are unlikely to re-produce a session even if the same prompt is entered.

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

With the growing prevalence of generative AI applications 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 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 an abridged, printable version of the checklist to work through on your own.

Step One: Experiment with Generative AI

  • Experiment with GAI tools. Test Copilot (available to UWGB faculty, staff, and students) by inputting your own assignment prompts and assessing its 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 (MLA, APA, Chicago)? 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.

 

 

Canvas Discussions Redesign Arrives May 13, 2024 

In Summer 2024, Canvas will officially roll out its “Discussions Redesign,” which will bring a visual refresh to Canvas Discussions while adding some new features. UW-Green Bay will be turning on the redesign between the Spring and Summer terms on Monday, May 13, 2024. On this date, all discussions will automatically upgrade to the redesign with no action needed from instructors. Read this post to learn about the new features coming to Discussions and where to look for familiar buttons that have changed locations within the Discussions Redesign.

New Features

The Discussions Redesign adds the following new ways for students and instructors to interact and to view discussion activity:

Anonymous Discussions

Screenshot of the Anonymous Discussion settings seen while creating or editing a Canvas discussion

With the Discussions Redesign, the options shown when creating a new discussion in a Canvas course remain largely unchanged except for the addition of a setting that allows instructors to enable full or partial anonymity while setting up an ungraded discussion. With “full” anonymity, all student replies will appear anonymously without the student’s name and profile picture. With “partial” anonymity, students can choose whether to reveal their name and profile picture while making a reply. Anonymity only applies to students; instructor posts and replies are always shown with names and profile pictures. If you allow students to create their own discussion topics, a new setting in the discussion options for your course allows you to choose whether students can create anonymous discussions.

@ Mentions

Screenshot of two discussion replies with @ mentions. The mentions each include a student's name and are highlighted in purple.

With the Discussions Redesign, discussion participants can mention an instructor or student in their replies by typing “@” and the beginning of a person’s name and then selecting the full name from a list of matches from the class roster that appears. Mentioned names are highlighted in the post and will trigger a notification for the mentioned person if they have the “New Mention” notification type enabled in their Canvas Notifications settings. Students and instructors can use this feature to more clearly identify who they are responding to in a discussion thread and get their attention.

Quote Reply

Screenshot of the Quote Reply option on a reply. The options menu icon and Quote Reply option are highlighted.

The Discussions Redesign has a new “Quote Reply” action which lets you include the contents of the post you are replying to within your reply. Using this feature will help add clarity to long discussion threads when replying to a post that is higher up in the thread. You can find the Quote Reply option within the options menu (the three vertical dots icon) of any discussion reply.

Multiple Viewing Options for Discussion Threads

A Canvas discussion reply. The link that can be selected to reveal threaded replies is highlighted and reads, "9 Replies, 2 Unread"

The Discussions Redesign offers a more condensed initial view where only the top-level replies to the topic are visible after opening a discussion. If a reply to the main topic has threaded replies (i.e., replies to the reply) “underneath” it, they are initially hidden, and the post will have a link under its contents which reports the number of threaded replies that are “underneath” that post. You can select that link to reveal the threaded replies in either an “Inline View,” which shows all replies underneath one another with varying indentation (like the older discussions design does), or a “Split View,” which shows threaded replies in a side panel that flies in from the right side of the screen.

A screenshot of the search bar and buttons found at the top of a Canvas discussion. The "View Split Screen" and "Expand Threads" buttons are highlighted.

You can switch between using the Inline and Split view modes with the View Inline / View Split Screen button at the top of the discussion page. When using Inline View, you can select the Expand Threads button at the top of the discussion to quickly reveal all threaded replies at once.

Edit History

A screenshot of a Canvas discussion reply that has been edited. The reply's "View History" link is highlighted.

If a student edits a reply after posting it, Canvas will now keep each version of that reply in an “edit history” that is available to instructors. Instructors will see a “view history” link on any reply that a student edited after posting and can select it to view that reply’s previous versions. Students can only view the edit history of their own replies.

Coming Soon: Discussion Checkpoints!

Canvas will soon (finally) be adding the oft-requested feature for supporting multiple due dates in a discussion. This feature may not yet be available when we enable the Discussions Redesign in May, but Canvas plans to add it during Summer 2024. With this feature, instructors will be able to easily set separate due dates for initial posts and for replies to peers’ posts within the same discussion, which will help automate reminders for students by adding calendar and to-do list items for each “checkpoint.” Watch for more information on this feature as it gets closer to release!

New Locations for Important Buttons

Don’t get lost within the Discussions Redesign by taking note of the following new locations for some often-used buttons:

Edit Button

A screenshot of the options menu for a Canvas discussion topic as seen by an instructor. The "options" icon and "Edit" menu item are highlighted.

The Edit button is moving from its prominent position at the top of the discussion page to being tucked within the options (three dots) menu found in the top-right corner of the discussion topic. Look for the Edit link in that options menu whenever you want to adjust an existing discussion’s settings.

Group Discussion Navigation

A screenshot of a Canvas group discussion with the groups icon highlighted in the top-left corner.

Group discussions will no longer show a blue box at the top of the page with the links for accessing each individual discussion. Instead, a group discussion will have a button with the “groups” icon in the top-left corner which you can select to switch between the discussions of each group.

Publishing and Subscribing

Two screenshots of the publish and subscribe icons of a discussion topic. The first screenshot shows the unpublished and unsubscribed icon states; the second screenshot shows the published and subscribed icon states.

The buttons for publishing a discussion and subscribing to it (for notifications) have shrunk into smaller icons that can be found next to the options (three dots) menu in the top-right corner of the discussion topic. You can select these smaller publish and subscribe icons to publish or unpublish a discussion and subscribe or unsubscribe to a discussion.

Ready, Set, Discuss!

Knowledge of these new features and interface changes is all you need for a smooth transition to using the Discussions Redesign in your courses. Your existing discussions will automatically upgrade on May 13 with all existing topics and replies retained. We hope that the fresh look and new features will facilitate more robust interactions within your courses! If you want to discuss ideas for using Canvas discussions in your course with a member of our team, we encourage you to request a CATL Consultation or reach out to us at catl@uwgb.edu.

Implementing Open Educational Resources (OER) into Your Course

This article is the third part in our series on OER. You can read more about Open Educational Resources and Affordable Educational Resources in part one and two alternative models for textbooks, Inclusive Access and Equitable Access, in part two.

I’m ready to adopt an Open Educational Resource (OER) – how do I find a text?

First, realize that OER don’t have to be a formal textbook, although often they are. OER can be pieces of textbooks that you use in conjunction with each other. They can be a Canvas course, a module, or a series of resources that meet your learning outcomes and the topics you need to ensure your students are meeting the learning outcomes. They could even be podcasts, films, and websites. This broadens the field of where to find OER. So where do you start?

  • Start with the librarians on your campus. Librarians are experts in locating materials and can make the search easier.
  • Use the libguide created by the library about materials you already have access to that can be used as part of an OER course.
  • Use one of the many repositories available online that offer the distinct types of resources mentioned above. College of the Canyons maintains an up-to-date OER/Zero Textbook Cost (ZTC) Repository which is a good jumping-off point.

Can I create my own OER?

An option for integrating OER into your course is creating your own materials. Creating your own materials doesn’t necessarily mean writing a textbook. Open Educational Resources can be any of the items below or some combination thereof.

  1. Written textbook
  2. Videos
  3. Curated articles that are openly licensed
  4. Podcasts
  5. Curated textbook chapters taken from openly licensed books
  6. Media you create yourself

As you begin searching, you may decide you want help creating and licensing your materials. As mentioned earlier, the library is a great place to start. The library may be able to offer significant resources to help you create your OER, so be sure to reach out and see what support is available.

Ready to get started?

If you’re interested in getting started on creating low or no-cost resources for your class or just want to get some more information, you can reach out to Carli Reinecke, the OER Librarian to get started with your project.

Resources