Start from your own plan, then let ChatGPT Edu or Copilot Chat draft or refine
Your plan comes before any AI draft. Then decide what AI should do with it.
When: routine, low stakes, and you know the content.
Meeting recaps, reminders, announcements, status updates, notes into a table.
When: your expertise, judgment, or voice is the point, or the stakes are high.
Grant aims, manuscript sections, recommendation letters, performance feedback, policy.
When: sensitive information, or the decision itself.
Student records or health information, who gets hired or funded, sources you haven't opened.
m365.cloud.microsoft/chat, signed in with your Drexel account. Good for quick summaries and edits of Drexel documents and email.
The Drexel workspace you used in Core 1. Good for longer drafting, going back and forth, and (in Core 3) saved assistants.
Paste the text, or upload the file with the + button. Ask. Check. Copy the answer back into your document.
Three quick questions before anything leaves your hands.
If you can’t open it, you can’t cite it.
Upload a file together, then pick one everyday job, then your own task. Demo file links are in the Zoom chat.
React with 👍 in Zoom when you have an answer. The same steps work in ChatGPT Edu.
Use Copilot Chat or ChatGPT Edu, on your own screen. Upload the demo file or use your own non-sensitive material. Questions go in the Zoom chat.
Summarize a study description, rewrite a paragraph for a community board, then find what's missing.
Find the decisions and open questions, make an action-item table, then draft a reply from your outline.
Find what stands out, get an Excel formula to flag rows, pick a chart.
Pedestrian injuries remain a leading cause of traffic death in U.S. cities, and risk is concentrated at a small share of intersections. This study will link citywide crash records with street-level imagery to identify built-environment features — crossing distance, vehicle speeds, lighting, signal timing — associated with severe pedestrian injury at signalized intersections. Results will produce a ranked list of modifiable intersection features for city transportation partners…
Check it: did the plain version keep the facts right? Are the gaps it lists real ones?
M. Rivera: …proposing we move EPI 570 to fall and add the data-visualization module. Thoughts before Friday?
J. Chen: Fall works if the lab sections don't collide with BST 555. Also — who owns the syllabus update?
M. Rivera: Agreed on fall, pending the registrar check. Syllabus update: can you take it, with a July 20 draft?
+ 3 more messages…
Check it: did it list a decision nobody made? Did the reply stick to your two points?
| Month | Department | Attendees | Cost ($) |
|---|---|---|---|
| Sep 2025 | EOH | 34 | 310 |
| Sep 2025 | UHC | 38 | 360 |
| Oct 2025 | EOH | 29 | 402 |
| Oct 2025 | Autism Institute | 17 | 215 |
| … Sep–Jun, six units: EOH, Epi & Biostat, HMP, CHP, UHC, Autism Institute | |||
Paste the formula into Excel. Check one row by hand: Oct, EOH is $402 ÷ 29 = $13.86, so “Over.”
Plan first. Then AI drafts from your outline, or refines what you wrote. Then you check it.
In the Zoom chat: one thing you'll try this week.
Next: Core 3 — Reusable Assistants. Turn your saved recipes into shared Projects and custom GPTs.