AI for Teaching and Learning

August 19, 2024 / Bill Reynolds

There is so much information available these days about AI for teaching and learning that it can be difficult to know how to find credible, useful sources. As we at the Lucas Center receive information from colleagues in higher ed we’ve been keeping track of some of the better websites, and in this post we share a few. Most of these are specifically related to AI in teaching, and they offer resources and suggestions for writing prompts, acclimating students to AI, and other teaching-specific ideas and strategies. We also recognize, however, that faculty are discovering uses for AI that are making them more efficient teachers AND scholars, and we encourage you to share your favorite tips, sites, and resources with us so that we can post them in a future blog.

Stanford University offers an excellent Artificial Intelligence Teaching Guide in open access format. Within this guide are a series of workshop kits that are Creative Commons licensed, which enables anyone to use them with attribution for non-commercial purposes.
The Stanford Graduate School of Education has a site called Classroom-Ready Resources about AI for Teaching (CRAFT). This is a developing collection of resources that include lesson plans and guides for teaching about various aspects of AI. For example, the lesson titled “How can AI help us become better writers? provides a guide for helping students evaluate text that has been AI-generated.
The Macalester College Library has a page on “AI Literacy and Critical Thinking.” I especially like that it has a section on “Sample Class Activities,” which also links to a crowd-sourced resource called Creative Ideas for Using AI in Education.
For an excellent list of resources for educators about using generative AI in their classrooms, visit the Southern Illinois University Library website - https://libguides.lib.siu.edu/ai-for-teachers. One of the nice features of this site is that it lists dozens of AI tools and provides a brief description of what each does.
Finally, The American Association of Colleges and Universities and Elon University have launched an artificial intelligence how-to guide for students. It is available in a free download that faculty might use with their students to guide students’ use of AI.

As mentioned before, resources related to teaching and learning with AI are growing at a pace that is difficult to keep up with. With the list above we have tried to provide credible and useful sources of information that offer concrete strategies for AI-novice and experienced faculty alike. Please share with us your experiences and any additional resources you believe your colleagues would appreciate for inclusion in an upcoming post. Email lucascenter@fgcu.edu.

Dear all,

The Faculty Center for Teaching and Learning and Division of Digital Learning at the University of Central Florida are excited to announce the return of Teaching & Learning with AI (TLWAI) Conference on May 28-30, 2025, in Orlando, FL. This dynamic event is dedicated to practitioners sharing their tips, best practices, new ideas, and workarounds for teaching and learning now that artificial intelligence (AI) has established itself in the realm of higher education. We are proud to continue this event, which was the first nationwide conference of practitioners to discuss the use and potential impact of AI on teaching and learning in higher education. 

This conference is for educational developers, front-line faculty members, academic integrity support staff, administrators and policy makers, and other members stakeholders in higher education. Please note that this is NOT a conference about how to make AI. Rather, this is an opportunity for those of us confronted with AI to share stories, ideas, and, perhaps, research about how to work with it.

Professionals, instructors, researchers, and policymakers from all sectors of higher education are invited to discuss the impact AI has on courses and students.

We are currently accepting proposal submissions for short interactive workshops and posters related to the practice of using AI for teaching and learning in colleges and universities across the country. Because of the expected high interest, the proposal process will be competitive.

INTERESTED IN SUBMITTING A PROPOSAL?

Participants from all sectors of higher education are encouraged to submit proposals for short presentations and posters related to the practice of Artificial Intelligence (AI) use in college teaching across all modalities (face-to-face, blended, and fully online). At this conference, we can consider AI-generated text, AI-generated images, and other AI-generated digital products. While other conferences may focus on the research of AI development and programming, this conference is intended to serve the community of frontline faculty members across all disciplines, librarians, administrators, instructional designers, and faculty developers in the practice of AI use in higher education settings.

Topics may include:

Teaching models that embrace AI tools
Academic integrity and grading
Faculty using AI to create course content
Faculty development and support
Copyright, ownership, and provenance
Ethical considerations
Building AI applications for education
Institutional policies
Discipline-specific implementations of AI

Note: Because this is primarily a SHARING conference, sessions are short. Also, priority will be given to proposals that have clear ideas for take-aways that participants can use in their own teaching. Keep in mind that AI will continue to develop and evolve.

The event, which is face-to-face only, has two formats:

25-minute interactive sessions for short presentations that challenge participants to discuss deeper, not-easily-answered questions about AI in the college classroom or library.
Poster sessions will feature visual presentations on both research and sharing topics. Posters can include sharing teaching practices (tips, strategies, and policies) or findings (pilots, preliminary findings, SoTL, meta-studies, theoretical studies, or IRB-type human research) on topics related to AI in higher education. Posters may be digital or print.

Participants are limited to only being part of two presentations (and can only once be the main presenter). Companies that are not sponsors may only present a 25-minute interactive session if they are joined by a frontline faculty member or librarian; otherwise, they may only present a poster.

The Call for Proposals opened October 21, 2024 and the deadline to submit a proposal is 11:59 p.m. ET on January 17, 2025. Acceptance decisions will be sent by February 14, 2025.

Submit proposal here: https://ucf.qualtrics.com/jfe/form/SV_0lBTYDc98DMvBFY

Visit our webpage to learn more about the proposals and topics for the event, including previous agendas: https://digitallearning.ucf.edu/teachwithai/

If you know someone who would be interested in submitting a proposal or attending the event, we strongly encourage you to forward this email to them! Feel free to reach out to us at teachwithai@ucf.edu with any questions regarding the proposals or the event.

Sincerely,
Kevin Yee and the Teaching & Learning with AI Conference Committee

REMINDER: The deadline for submission is Friday, January 17th!