Adelphi University AI Leadership Cohort Roadmap_ Workbooks 3 and 4.PDF
Hi all!
Above is our homework for Workbooks 3 & 4.
Best,
Kim Mullins, Nancy Altman, Sandy Urban, Kathy Bucalo, and Chris Barnes.
Adelphi University AI Leadership Cohort Roadmap_ Workbooks 3 and 4.PDF
Hi all!
Above is our homework for Workbooks 3 & 4.
Best,
Kim Mullins, Nancy Altman, Sandy Urban, Kathy Bucalo, and Chris Barnes.
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Replies
Hi, Kimberly Mullins and team!
I enjoyed reading your plans because they reflect strong internal reflection, practical application, and care for ethics and accuracy. Thank you for sharing such detailed, well-considered work. It will be useful to others as they shape their own approaches.
Three things you did especially well
1. Clear-eyed understanding of staff readiness and culture.
The Who Moved My Cheese framing captures your team’s current mix of curiosity and hesitation in a way that’s both honest and constructive. It shows real insight into the human side of AI change management.
2. Practical, well-designed training ideas.
Your “AI Sandbox Workshops” and “Microlearning Menu” combine best practices in adult learning with clear, realistic steps for implementation. They balance hands-on practice and short, spaced learning, exactly what’s needed to build comfort and confidence.
3. Excellent example of thoughtful tool evaluation.
The REAL rubric write-up for Perplexity is one of the most comprehensive I’ve seen. Your reasoning under each dimension, especially Ethics & Access, models an approach others can learn from.
Three things you might consider next, if you haven't already!
1. Scan what else is already in place.
You might take a look at the AI features already embedded in your existing vendor and productivity tools (Microsoft 365, ProQuest, etc.). Many institutions find it helpful to do a quick inventory now and plan to repeat it annually as features evolve.
2. Make learning more social.
You might consider adding small, peer-led elements (such as staff “show and tell” sessions or shared sandbox times with faculty) to increase interaction and normalize experimentation.
3. Connect your efforts to campus-wide conversations.
You might look for opportunities to link your library’s AI work to broader university initiatives around teaching, privacy, and academic integrity. This could further position the library as a bridge and model for responsible exploration.