Generative AI is artificial intelligence that can create new content such as text, visual images, code, audio, or video because its neural networks have been trained on a gigantic amount of data. Outputs might include digital art, essays, short answers, blog posts, computer code, press releases, and other types of novel content. One form of generative AI, large language models, has especially received attention with the release of ChatGPT. Using the chat interface, users can make a seemingly endless array of queries of GPT 3.5 that result in often stunning responses. The relative ease in getting the program to create everything from poems to short answers to complete essays has led many faculty and administrators to worry about the academic integrity of coursework. Others are urging faculty to rethink assessment practices and find ways to integrate generative artificial intelligence, especially ChatGPT, into coursework.
Supporting Instruction and Learning Through Artificial Intelligence
Generative AI landed on our campuses like a comet. We saw it on the horizon but didn’t anticipate its immediacy or impact. How have teaching and learning practices changed, and which shifts will result in long-term learning transformation? How...
Artificial Intelligence Is Here, Now What?
In this month’s Closer Conversation, we will come together to share and learn about the role that generative AI like ChatGPT might play in the classroom. There has been a great deal of conversation about Artificial Intelligence and how...
Artificial Intelligence and Higher Education: Where Are We Going and How Are We Getting There?
In November, OpenAI released ChatGPT, a chat interface for its GPT 3.5 large language model artificial intelligence. Using the chat interface, users can make a seemingly endless array of queries of GPT 3.5 that result in often stunning responses....