I wanted to share a link to our Center for Teaching Innovation‘s new public-facing Canvas site, Teaching In The Age of AI. As you’ll see, the course has been published by me under a CC BY-NC-SA 4.0 license, so folks who can comply with those terms should feel free to keep that in mind!
Some context that may be of interest to folks in Center for Teaching and Learning (CTL) spaces or faculty support sectors doing similar work:
- This course came about as a result of conversations we are having about developing asynchronous resources for faculty on topics like AI, given busy/competing schedules and the impact of live programming; we still run live programming regularly and some resources here are taken from / revised from live programming contexts.
- We have noticed that while recordings are requested regularly by some faculty, our metrics indicate that video content is not watched by large numbers of our faculty community. We also are trying to be aware of the impact of recording on faculty participation, given AI discourse in and beyond higher ed and emerging literacies.
- This course draws on faculty feedback from programming, consultations, organic outreach, colleague feedback, and a more formal review of an earlier iteration of this course by a small group of faculty (which we were able to provide small compensation for). And we have a survey for use by our faculty (so please do not complete it if you do see it when perusing!).
- Noting that latter bit because you’ll likely notice that the content focuses on AI literacy, AI implications for course design, and AI implications for assessment. Within those areas, we have generally seen an interest in resources to help faculty steer students towards established methodologies related to reading, research, and writing (among other areas) in lieu of AI outsourcing. Academic integrity implications are also top-of-mind for many people here. We do have instructors who are doing more work related to AI workflow integrations and prototyping use-cases with students, but we have been supporting that work in other areas / contexts and we’re still considering campus-wide asynch resources (especially given the range of course contexts and use-cases across our campus).
- We did get feedback from a few folks about a desire for multimodal resources, so a number of pages have suggested video / podcast content in addition to text and links. I will note that I tried to steer clear of resources created by AI companies whenever possible (and that this was a challenge at times).
- We are also developing asynchronous content outside of Canvas and we may be considering what some of this content looks like when migrated to different online formats and spaces; this is kind of a pilot resource approach for us.
- No AI was used in the creation of the course materials generated (sorry) by me. I have lightly experimented with AI in CTL content generation contexts here and there (not in the context of this project) but I have generally been dissatisfied with the output results and prefer the personal benefits of developing these resources via more traditional means. I have other personal views informing these methods too. Our office is also thinking about where and how AI usage is disclosed in CTL and course contexts, but that is a larger conversation and one we are just beginning over here.
I’ll continue to share AI literacy-related resources here. Folks can feel free to email me or bug me on LinkedIn to talk more!
Jim McGrath (he/him) is an Instructional Designer at Salem State University’s Center for Teaching Innovation. He can also be found on LinkedIn and Bluesky. Feel free to reach out if you have questions or comments!