Who This Guide Is For
- Page ID
- 69785
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We wrote this for people whose jobs look like ours: faculty and administrators at rural-serving and career-technical institutions, where one person teaches several sections a semester while chairing committees and advising a club, where the broadband cuts out in bad weather, and where decisions about AI tend to get made in reaction to a crisis rather than ahead of one.
We wrote it because many of the resources we found were built for other places. Research universities with instructional design teams or even urban California community colleges face different challenges than ours. The questions their resources answered were not always our questions, and the solutions they proposed were not always possible at our scale. If you have ever read AI guidance that assumed reliable campus wifi, a dedicated support office, and a teaching load with room for professional development, and thought “that is not my college,” this guide is for you.
A note on how to use it: the first two parts and the last give you our experience, including the context, the workshop year, what we learned and would do differently. The middle (Parts Two through Four) is reference material, organized so you can open straight to your discipline or to the policy language and take what you need. Read the narrative for the why. Consult the chapters for the how. Adapt all of it freely for your own context, which is the whole point.
This guide is not a sales pitch for AI. Some of us came into the year convinced AI is mostly a threat to the kind of thinking we are paid to teach, and those colleagues did not change their minds so much as sharpen everyone else’s. Where the evidence is thin or comes from a vendor, we say so. Where AI does not belong, we say that too, at length. The measure we kept coming back to was not whether something is innovative but whether it solves a real problem for a student who is driving forty minutes each way and studying at midnight.


