Navigating the vast array of information about generative AI in education can feel overwhelming! We have curated a small collection of quality resources to assist faculty in exploring the pedagogical implications and possible uses of generative AI technology in education. These resources encourage consideration of a range of issues, and provide examples and resources to support experimentation.
Generative AI in Your Courses?
As you think about the possible use of generative AI in your courses, it is important to clearly communicate to students what appropriate use looks like in your course. Whether or not you’ll permit students to use generative AI tools, a clearly articulated syllabus statement can go a long way to providing students with important guidance about acceptable and responsible use. The CLTR has created sample syllabus statement to help you get started:
Teaching & Learning Resources
The first resource is a site that showcases current perspectives on teaching with AI tools in a variety of contexts. Concise summaries of AI teaching experiments provide a quick overview of effective (and ineffective) strategies.
Source: The Modern Language Association and Conference on College Composition and Communication Task force on Writing and AI
We recommend this resource for its well-organized content, particularly The Teaching & Learning section. It balances pragmatic strategies with thoughts on assessment, detection, and course design.
Source: MIT Sloan Teaching & Learning Technologies
This resource gallery links to readings about specific questions related to teaching with genAI (e.g. How do I communicate about AI to my students?). Each teaching issue in the gallery contains additional relevant resources, including a briefing on why that resource matters to the task at hand.
Source: University of Virginia Teaching Hub
We recommend this resource for its comprehensive methodological approach and visual aids. Each accordion contains thoughts on discrete pedagogical considerations. The decision tree at the bottom can help you determine various paths forward as you design your own course.
Source: Barnard Center for Engaged Pedagogy
This resource provides concise video vignettes from faculty across the curricula explaining their use of generative AI thus far in the Spring 2024 semester.
Source: Harvard University
This open access book contains something for everyone. With sections framing basic concepts, research, and subject specific approaches, there is plenty to digest within this reading.
Source: Buyserie, B. & Thurston, T.N. (Eds.) (2024) Teaching and generative AI: Pedagogical possibilities and productive tensions. Utah State University.
The Learning and Applied Innovation team offers 1:1 and small group consultations to identify needs and support the development of project ideas, including those that use generative AI. Please use the button below to request a consultation with members of the Learning and Applied Innovation team.