1. Welcome & Context (5 minutes)
Content:
Quick overview of GEMS (Gemini, MagicSchool, and Educator Mentorship for Success) as a district model for integrating AI.
Frame the session goals: innovation, equity, and sustainable teacher-led change.
Engagement:
Quick audience poll (hands up or device-based: “Where is your district on AI adoption—exploring, piloting, or scaling?”).
Use this as a bridge to show the spectrum of readiness.
2. Setting the Stage – Why GEMS? (10 minutes)
Content:
Objectives of GEMS: build AI literacy, empower teacher leaders, create sustainable structures.
Equity lens: supporting ELs, SPED, and advanced learners through AI tools.
Link to ISTE Standards (Change Agent, Empowering Leader, Collaborator).
Engagement:
Turn-and-talk: “What’s one equity challenge in your setting that AI might help address?”
Share 2–3 responses with the room.
3. The GEMS Model in Action (20 minutes)
Content:
Walk through the 3 phases: Teacher Leader Training, Monthly Site PD, Ongoing Coaching.
Showcase examples:
Lesson plan differentiation with MagicSchool.
Using Gemini for quick assessments and communication.
Resource sharing via Padlet.
Share early data: survey findings (82% efficiency, 68% differentiation confidence, 54% want support in evaluating outputs).
Engagement:
Device-based activity: Participants try a short AI prompt (either on their own device or paired with someone who has one).
Small group share-out: “What worked well with your AI prompt? What would you change?”
Collect “aha” moments live (Padlet/Google Jamboard for quick crowd-sourced input).
4. Building Capacity & Collaboration (10 minutes)
Content:
Teacher Leader roles: modeling, peer PD, collecting site feedback.
Leadership supports: communication, funding, coaching.
Collaboration across sites to sustain the work.
Engagement:
Peer-to-peer exchange:
Half the room are “district leaders” and half are “teacher leaders.”
Quick role-play: Leaders explain how they’d support or sustain AI at their site.
Switch roles after 2 minutes.
5. Reflection & Next Steps (10 minutes)
Content:
Lessons learned: what worked, what’s next (AI showcases, deeper PD, cross-site collaboration).
District roadmap: scaling from curiosity → confidence → sustainability.
Engagement:
Individual reflection: “What’s one structure from GEMS you could adapt tomorrow?”
Final partner share, then collect a few responses aloud.
Quick device exit survey: “What’s one action you’ll take from this session?”
Participants will understand how to design and lead initiatives—like the GEMS model—that expand equitable access to AI-powered learning tools for all students, including multilingual learners, students with disabilities, and advanced learners.
Participants will learn how to create structures that empower teacher leaders, align professional development, and foster a districtwide culture of innovation—connecting directly to the ISTE Empowering Leader standard.
“The Potential Impact of Artificial Intelligence on Equity and Inclusion in Education” (OECD, 2024)
This working paper reviews AI’s opportunities and risks related to equity, teacher capacity, and institutional readiness. It emphasizes that to realize AI’s promise, districts must pair innovation with critical reflection, ethical guardrails, and strong professional learning systems.
OECD
“Artificial Intelligence and the Future of Teaching and Learning” (U.S. Department of Education report, 2023)
This federal report offers a broad, evidence-informed look at how AI can transform pedagogy, assessment, and operations when grounded in human-centered decisions. It also cautions against decontextualized adoption and underscores the role of educator agency.
U.S. Department of Education
“Transformational Leadership for Technology Integration in Schools” (Article, ScienceDirect)
This study explores how principals’ transformational leadership practices (vision, support, modeling) positively influence teachers’ beliefs, skills, and integration of digital tools—exactly the kind of leadership scaffolding your presentation advocates.
ScienceDirect
“Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review” (Yan et al., 2023)
This review examines both the use cases and risks of LLMs (like those your district may adopt), including issues of fairness, transparency, and readiness. It gives your session a grounded, research-based lens on what to watch out for and how to implement responsibly.
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