Generative Artificial Intelligence: Additional Resources

Guides to AI powered educational technology and tips for using AI tools in the classroom. Educator's Technology /
Educational Technology and Mobile Learning (ETML) is a blog owned and operated by Med Kharbach. Dr. Kharbach holds a PhD in educational studies from Mount Saint Vincent University in Halifax, Canada, and was a K-12 teacher with over 12 years of classroom teaching experience.

Overview with links to collections of resources for those who teach writing. Compiled by Anna Mills.

Introduces the PAIR framework to create assignments "to Prepare Learners for a ChatGPT World."

This essay will be added to the second edition of Dr. Hershey’s ebooklet, How to Teach American Politics (and Other Subjects) Effectively.

Discusses considerations for instructors using AI in the classroom and activities for incorporating AI into discussions and assignments

This guide is designed to help educators and researchers better understand the evolving role of Artificial Intelligence (AI) in higher education. This openly-licensed ebook contains strategies and exercises to help foster an understanding of AI’s potential benefits and challenges.

Addresses AI literacy at the following four levels:
1. Understand AI
2. Use and Apply AI
3. Analyze and Evaluate AI
4. Create AI

Self-paced modules about teaching and ensuring academic integrity with AI created by a committee of faculty members and staff at the University of North Carolina in Summer 2023.

Blog post by David Wiley (Chief Academic Officer of Lumen Learning) suggesting using generative AI as a "generative textbook" where, "instead of containing instructional content, it provides the learner with a series of prompts they can use to elicit information from a large language model like ChatGPT." The example uses a series of questions to teach students about sleep.

Blog by Ethan Mollick, professor at the Wharton School of the University of Pennsylvania, currently focused primarily on implementing AI into academia. Particularly useful post: How to Use AI to Do Stuff: An Opinionated Guide/

This fully open access and peer-reviewed collection features 34 undergraduate-level assignments to support students' AI literacy, rhetorical and ethical engagements, creative exploration, and professional writing text gen technology, along with an Introduction to guide instructors' understanding and their selection of what to emphasize in their courses. TextGenEd enables teachers to integrate text generation technologies into their courses and respond to this crucial moment.

Resources for instructors and students who are navigating the use of AI in the context of coursework.

The Office of Educational Technology is working to develop policies and supports focused on the effective, safe, and fair use of AI-enabled educational technology. Featured publication: Artificial Intelligence and the Future of Teaching and Learning

All Things AI Law Librarian-ish, Generative AI, and Legal Research/Education/Technology

BigLAM started as a datasets hackathon focused on making data from Libraries, Archives, and Museums (LAMS) with potential machine-learning applications accessible via the Hugging Face Hub. We are continuing to work on making more datasets available via the Hugging Face hub to help make these datasets more discoverable, open them up to new audiences, and help ensure that machine-learning datasets more closely reflect the richness of human culture.

Articulating a set of research library guiding principles for AI is useful to influence policy and advocate for the responsible development and deployment of AI technologies, promote ethical and transparent practices, and build trust among stakeholders, within research libraries as well as across the research environment. These principles will serve as a foundational framework for the ethical and transparent use of AI and reflect the values we hold in research libraries. ARL will rely on these principles in our policy advocacy and engagement.

Recordings of four days of talks from researchers, instructors, and students

Three-hour symposium offered by UC San Diego Halıcıoğlu Data Science Institute (HDSI), Institute for Practical Ethics, and San Diego Supercomputer Center (SDSC)

Blog by Janelle Shane, author of You Look Like a Thing and I Love You: How AI Works and Why it’s Making the World a Weirder Place