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AI and PLCs: Using AI to Aid PLC Planning and Development

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Idea Lab
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Session description

Learn concrete ways to use AI to plan and run PLCs: draft agendas tied to standards, generate discussion protocols, summarize student data, propose interventions, and track action items. I’ll share prompt recipes, safety/ethics guardrails, and editable templates. Attendees will practice prompts and leave with ready-to-use PLC artifacts.

Outline

0–5 min — Purpose & anchor:
I’ll frame the session using the PLC three Big Ideas and the four guiding questions so every activity ties to student learning. We’ll do a quick pulse check and a brief write‑first reflection to surface needs from all participants.

5–12 min — Model 1: Agenda design with AI:
I’ll demo how to generate a standards‑aligned PLC agenda—complete with roles and timeboxes—using our agenda template and a short prompt. Participants note the two strongest elements they want to keep, with device‑free options available.

12–22 min — Guided practice:
Participants adapt the prompt to their context and produce a first‑cut agenda for an upcoming PLC. They exchange drafts for plus/delta feedback and share a few takeaways with the group.

22–35 min — Model 2: Evidence synthesis:
I’ll show how to paste de‑identified data or work samples and prompt AI to produce trends, likely misconceptions, and focused discussion questions using a simple data protocol. Participants practice on a mini‑dataset (or sanitized local data) and capture noticings, wonderings, and one measurable goal.

35–45 min — Model 3: Responses & action tracking: We’ll convert one misconception into a two‑week intervention plan with progress checks and owners, guided by the PLC checklist. In triads (or pairs), participants build role‑assigned action items with due dates and evidence of success.

45–53 min — Safety, privacy, and alternatives:
I’ll outline concrete do’s and don’ts: de‑identify student information, avoid uploading PII, and follow COPPA/PPRA/FERPA; I’ll also show no‑AI pathways when tools are restricted. A quick myth‑or‑fact round leads into participants drafting a one‑page red‑flag checklist.

53–60 min — Commit & close:
Each attendee selects a single next step (agenda, data brief, or intervention plan) and records when and with whom they’ll implement it. We’ll close with optional Q&A and links to the follow‑up PLC resources.

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Outcomes

Attendees leave with: (1) an AI‑drafted PLC agenda tied to standards with prompts for teams to use; (2) a de‑identified data summary template ready for PLC discussion; (3) an interventions/action‑items plan; (4) an ethics/privacy checklist.

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Supporting research

Aguilar, Elena. (2016). The Art of Coaching Teams: Building Resilient Communities that Transform Schools. Jossey-Bass.

Bowen, Jose Antonio and C. Edward Watson. (2024). Teaching with AI: A Practical Guide to a New Era of Human Learning. Baltimore, John Hopkins University Press.

Buffum, Austin and Mike Mattos. (2014). It's About Time: Planning Interventions and Extensions in Elementary School. Bloomington, IN: Solution Tree Press.

Dufour, R. and Fullan, M. (2013). Cultures built to last: Systemic PLCs at work. Bloomington, IN: Solution Tree Press.

Fisher, Douglas, Nancy Frey, and Ian Pumpian. (2012). How to Create a Culture of Achievement in your School and Classroom. ASCD.

FitzPatrick, Dan, Amanda Fox, and Brad Weinstein. (2023). The AI Classroom: The Ultimate Guide to Artificial Intelligence in Education. TeacherGoals Publishing.

Kanold, Timothy D. (2011). The five disciplines of PLC leaders. Bloomington, IN: Solution Tree Press.

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Presenters

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Leadership Coaching Manager
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Session specifications

Topic:

Artificial Intelligence

Grade level:

PK-12

Audience:

School Level Leadership

Attendee devices:

Devices required

Attendee device specification:

Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows

Participant accounts, software and other materials:

Access to a preferred large language model.
Access to word processing software.

ISTE Standards:

For Educators: Leader, Collaborator, Analyst

Influencer Disclosure:

This session includes a presenter that indicated a “material connection” to a brand that includes a personal, family or employment relationship, or a financial relationship. See individual speaker menu for disclosure information.