Hello Everyone,
We hope you can join us on Wednesday, Sep. 17 at 3:00p for our guest speaker, James Collett, AI + Tech consultant.
Here are some items to consider during our week off:
Please take the post-meeting survey.
Consider the compilation of Suggest Patterns of AI.
Reflection this week:
Your Task
This week, review the resource “Suggested Patterns of AI Transformation” and use it as a lens while observing your own daily environment. Look for signals, tensions, or surprising moments in your teaching, research, media use, workplace, or community that connect with—or push against—these patterns.
Step 1: Capture 3–5 Signals
Record 3–5 signals of change from your own context. These could be small observations (student use of AI in class) or broad shifts (a new policy or tech adoption).
For each signal, write a short reflection (5–7 sentences):
What did I notice? (Describe the moment.)
Why did it stand out? (What tension, contradiction, or opportunity emerged?)
How does it align with—or diverge from—the suggested patterns of AI transformation?
Step 2: Gather 1 External Artifact
Choose one artifact that illustrates a signal: an image, article snippet, statistic, or chart.
Add a short note (2–3 sentences): How does this artifact connect to the suggested patterns? Does it confirm, extend, or challenge them?
Step 3: Select 1 Signal to Carry Forward
Choose the single most compelling signal to bring into Session 2.
Ask yourself:
Which signal feels most connected to a larger systemic shift?
Which signal best illustrates or complicates the suggested patterns?
Which signal raises new questions worth exploring further?
Deliverables
Reflective journal entry (3–5 signals with reflections)
👉 Tip: Think of the “Suggested Patterns of AI Transformation” as a map. Your job is to locate where your lived signals land on that map—and also to mark the places where your experience points to something new or overlooked.