AI and Teaching and Learning

This Guide (prepared for our USC Community - Faculty, Students, and Staff)  focuses on Artificial Intelligence (AI) literacy research and scholarship in the broad field of teaching and learning. The rapid evolution of this field necessitates frequent updates as well as information emendations in order for us to remain fully aware of its many facets.  Consequently, this guide will regularly monitor and include recent trends of this field so that we may successfully and productively network and collaborate with the AI and teaching/learning communities and scholars both at USC and nationwide. 

I invite you to communicate with me, Danielle Mihram, if you would like to find information on AI within the Education and Teaching and Learning fields that would help you in your teaching and research.

Additional pages that further reveal the scope of AI in the DH are currently under development.  

Complementary, Additional Guides at USC for AI Research

Using Generative AI in Research: Home (Michaela Ullmann, in collaboration with Benjamin Hall, Mike Jones, and Clarissa Moreno).   " This Research Guide provides information on the use of Generative AI in academic papers and research, and provides guidance on the ethical use of Generative AI in an academic setting."

Artificial Intelligence for Business (Benjamin Hall). "This guide was created as an attempt to organize the influx of AI trends, tools, and ethical incidents that are material to the business world. The pages herein are not perfect, they are not an endorsement of AI or any AI tool, and the guide is a continual work-in-progress."

AI (Artificial Intelligence) is commonly defined as the ability of a machine to perform cognitive functions we associate with human minds, such as perceiving, reasoning, learning, and problem solving. This guide includes information about a range of possible AI educational applications. It provides an overview of AI’s role in learning, thinking, and human communication, thus facilitating the work of educators to prepare students about information integrity, as well as AI’s adverse impacts, such as learning loss, and increased inequity. 

This leads to an understanding of "AI literacy", i.e.,  gaining skills that enable you to use AI effectively and ethically in ways that support teaching and learning.

AI can empower educators, accelerate learning, and personalize educational experiences, quickly and easily. On the other hand, the risks of bias, misinformation, and student isolation demand careful scrutiny. Balancing the advantages of artificial intelligence in education with its potential drawbacks requires careful planning and consideration, as well as ongoing evaluation.

Parikh, Amita (2024).  D2L’s AI in Education Glossary, (Blog entry, June 10, 2024).

Ruiz, Pati and Judi Fusco (2024), Glossary of Artificial Intelligence Terms for Educators,  Center for Integrative Research in Computing and Learning Sciences (CIRCLS), Last updated on March 31, 2024.