Overview: What is AI? What Implications Does it Have in Higher Ed?
Generative AI include large language models (LLMs) such as ChatGPT, Google’s Bard, and the chat feature in Bing, as well as image-generating platforms such as DALL-e and Midjourney, and video creation platforms like Runway. These technologies are rapidly expanding and are expected to soon be incorporated in everyday platforms such as word processing software. While constantly evolving, this guide can help you to get a sense of the opportunities, limitations, and risks generative AI brings with it in the context of higher education.
Another good primer on the topic is the Survival Guide to A.I. and Teaching series from Temple University’s Center for the Advancement of Teaching Edvice Exchange blog.
Where Can I Find Sample Policies?
Temple University, The University of Vermont, and Colorado State University all have brief guides that present a variety of sample syllabus language that could be useful in various classroom contexts. Lance Eaton has compiled what appears to be the most comprehensive collection of sample policies and syllabus language to date.
How Can I Learn More?
Generative AI in higher education is a new and evolving topic. New information, strategies, and concepts are emerging all the time. To learn more, you can read through UCLA’s comprehensive guide exploring many topics and facets of the discussion. Keep up with changes by attending webinars and other professional development opportunities, reading higher education publications such as The Chronicle, and talking with colleagues (and students!)
