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Artificial Intelligence (AI) in Higher Education

What is Artificial Intelligence?

Bill Hart-Davidson

Artificial intelligence (AI) encompasses a variety of computer-based tools that source existing data to solve a problem, such as search tools that rely on algorithms to find information or language translation tools (McCarthy, 2007). Generative artificial intelligence refers to a suite of tools that source existing data to create new artifacts in response to user prompts (Goodfellow et al., 2020). For example, ChatGPT is a large language model (LLM) and conversational generative AI that is built on many existing texts. In response to prompts from users, ChatGPT generates text that mimics the writing of humans through a process of statistical correlation. The Modern Language Association and Conference on College Composition and Communication's working paper explains how LLMs and ChatGPT work in greater detail.

Generative AI is an emergent and rapidly evolving space. New tools, or updates to existing tools, are released frequently, but a few examples are helpful in framing out what these tools do:

ChatGPT (where GPT stands for “generative pretrained transformer”) sources a broad range of texts and other data in order to respond to inquiries with customized text. It can also generate basic code.
Claude is an AI assistant from Anthropic with multiple capabilities.
Microsoft Copilot is a free service that provides access to GPT-4 and DALL-E 3. DePaul faculty, staff, and students can access Microsoft Copilot using their DePaul credentials.
Microsoft’s Bing search engine has a ChatGPT-based integration.
Gemini is Google’s version of a generative text AI.
DALL-E and Stable Diffusion pull from a broad range of image data in order to produce customized images in response to prompts from users.
Midjourney a research lab that has created another image creation generative AI. This platform is integrated with the Discord chat application.
Lensa is an AI that edits and transforms existing photos.

Many more generative AI tools exist. If you’re looking for a specific generative AI tool, the resources in Stay Current on Higher Education Generative AI Trends are a great place to find the latest recommendations, and Harvard's AI Pedagogy Project contains resources for learning more about how AI tools work.

DePaul's Approach to AI

At DePaul, we’re encouraged to learn more about emerging AI technologies and help students to learn to use them responsibly.

As noted in DePaul's Approach to Artificial Intelligence, “Universities have a special challenge: on the one hand, we need to prepare our students for a world of work in which AI will certainly play a part, but on the other hand, we want our students to understand and practice integrity in the use of any sources, including those generated by Artificial Intelligence.” DePaul faculty and staff have been charged “to create conditions for members of the University community to learn about both the benefits and dangers of AI and act responsibly.”

AI Teaching Recommendations

Follow these steps to get started:

Generative AI Assignment and Activity Ideas

The Faculty Learning Community AI Activities and this list of additional generative AI assignments, curated by DePaul faculty and Center for Teaching and Learning staff, offer a variety of options that utilize different tools, cover multiple disciplines, and require varying levels of time investment. See the Generative AI in Higher Education Lesson Plan as a great way to start a conversation about generative AI with students.

AI Detectors

This section explores the capabilities and limitations of AI detection tools. It provides insights into these tools, including Turnitin's AI detection tool, and offers recommendations for addressing AI-generated content in academic settings.

Stay Current on Higher Education Generative AI Trends

The following are great resources for engaging with higher education’s ongoing responses to generative AI:

The AI in Education Google Group was organized by Daniel Stanford, a DePaul instructor in the College of Computing and Digital Media, and includes members from over 70 schools and 8 countries. The group regularly exchanges resources, organizes optional Zoom meetings, and problem solves via asynchronous conversations.
The Chronicle of Higher Education’s newsletters, and especially the “Teaching” newsletter, are helpful.
Inside Higher Ed’s Artificial Intelligence beat consistently has new content.
Ethan Mollick’s substack is full of ideas for incorporating AI in your teaching and work. Mollick is a professor at the Wharton School of the University of Pennsylvania and he has been experimenting with generative AI since ChatGPT became popular.
The University of Maine's "Learn with AI" toolkit includes a crowd-sourced list of public-facing webinars and events about AI in education. Most are free and available online.
Harvard's AI Pedagogy Project includes an evolving collection of assignment ideas. The project welcomes submissions and tags assignments based on subject, skill, tool, and AI theme.
JISC National Centre for AI in Tertiary Education, a UK-based nonprofit explores, the impact of generative AI on education and provides more technical discussion of the tools.

Events and Additional Resources

See Events for opportunities to learn more about AI. Email facultydevelopment@depaul.edu to suggest additions to this guide.

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