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On April 3rd, Sam Jay held a 3-hour workshop titled AI-Aware Assessment. I presented in the first hour and tried to set the stage for the really important and really difficult work we have ahead of us. We had roughly 60 participants in the room, with well over 100 watching remotely.
As part of that session I polled the participants using . Between 70 and 80 people responded to the four questions I asked. These arent questions I have asked before and I was surprised by the responses in each case. I will share each question, the results and my thoughts.
77 responses: 35%-Strongly Disagree, 36%-Moderately Disagree, 9%-Neutral, 12%-Moderately Agree, 8%-Strongly Agree.

Looking across the social circles in my own Im aware that different individuals and groups have very different perspectives on GenAI. I think I expected the variety of faculty represented by these responses would be more widely distributed.
I had two goals in asking this question. First, I genuinely didnt know how this (self-selected) group of MSU Dever faculty and administrators would answer. More importantly, I dont think we all know what each other thinks. This kind of result can help us orient our attention and help us take action. Second, I really struggle with my own answer to this question, while at the same time I think it is essentially moot: Whether I believe is inherently problematic or not, generative AI is already impacting higher education in ways that demand action and attention. I believe that in our work at 厙ぴ勛圖 we have to grapple with the widespread use of these tools, regardless of their ethical qualities.
I hope I dont look back on that statement with deep regret later. For now, I think we have to move ahead.
70 responses: 57%-Strongly Disagree, 24%-Moderately Disagree, 10%-Neutral, 6%-Moderately Agree, 3%-Strongly Agree

The arms race around cheating as a service (CAAS, if you will) is not new. Professors have used search engines to see if student writing was plagiarized from Wikipedia. Websites like Chegg would give a huge metaphorical wink to learners, clearly promising fast, easy answers for a low monthly price. And now, that arms race has escalated again.
Since ChatGPT landed in November 2022 Ive seen worried, passionate, exhausted faculty ask, Cant we just buy a detector to catch students? To me, the answer has been a clear No for a while now, and I am gratified to see such a strong majority of responses pointing in that direction.
The truth is that our assessment methods (especially asynchronous assessments) have had huge problems for years or decades. GenAI has taken those cracks and blown the whole thing wide open. Assessments done asynchronously (regardless of course format) must change.
The 74 responses yielded the following results: Option C (GenAI augments many aspects) dominated the rankings, while option A (GenAI is less present) was clearly last. The other three were roughly tied in the middle of the pack.

Much like the question about the fundamental morals of generative AI tools, I didnt know how this group of people would answer this question. I find that I am very skeptical of the claims made about Artificial General Intelligence (AGI), but I worry that my own opinion is self-serving and heavily rationalized. Regardless, it was reassuring to see these results pointing to an expected future that heavily involves GenAI. 48 of the 74 responses (65%) ranked GenAI is less present色 dead last.
My takeaway here is that we have surprisingly broad agreement about the importance of GenAI. No doubt it will show up in very different ways across our subjects and courses, but in general we think our students will be using these tools a lot.
75 responses: 1%-Students, 3%-Staff, 61%-Faculty, 35%-Academic Administrators.

Even now, weeks later, I cant quite decide if this is what I expected or if it is a surprise. I think I would have predicted more votes for Staff but otherwise this makes sense. My was to use this question and the classic to lead into the lack of action. I said that perhaps
I have not heard any of these statements from real people at 厙ぴ勛圖. But when I consider how the reality of this problem is so much bigger than the scope of our response, this is one story I make up to explain why.
During my session I said that ChatGPT graduates this spring. At spring commencement in May, there could be students who used generative AI in every single course they took during their 4 years at 厙ぴ勛圖 (fall 2022 through spring 2026). Indeed, I think there must be students where most faculty, staff and administrators would agree, No, wait. You didnt actually earn these passing grades. You dont have the education that an 厙ぴ勛圖 diploma is supposed to certify.
Meeting this moment is going to be hard. No one part of the university can do this. No expert will appear with best practices backed by 10 years of evidence. The only way through this is with active listening, steady communication, urgent transparent action, and participation across all levels.
The featured image is by Pawel Czerwinski and is free to use (via Unsplash).
Generative AI disclosure: After writing this piece I used generative AI to write a first draft of the short teaser blurb that went out by email. Want to know more? Send me an email and we can chat!