Empowering Young Minds: Bringing AI to Life in Elementary Classrooms

Outline

Outline
1. Welcome and Framing the Why (5 minutes)
Content: Alana and Holly introduce themselves and set the stage for why AI belongs in the elementary classroom, addressing fears and opportunities.
Engagement: Participants reflect silently or in chat on one word they associate with AI and elementary learning.

Process: Establishes relevance and connects learning to participants’ beliefs and experiences, modeling “Nurture: Connect Learning to Learner.”

2. The Myths vs. Reality of AI in Elementary Education (10 minutes)
Content: Presenters unpack three common misconceptions from the slides:
“AI is only for older students.”
“Students use AI to cheat.”
“AI kills creativity.”
Real classroom examples demonstrate how young learners use AI for critical thinking, creativity, and inquiry.
Engagement: Visual storytelling with short video clips, sample student outputs, and authentic reflections from teachers and students.
Process: View–reflect–discuss format deepens understanding through lived examples rather than abstract theory.

3. Why AI Fits in Elementary Learning (10 minutes)
Content: Research-based explanation of why curiosity, immediate feedback, and scaffolded exploration make AI developmentally appropriate for PK–5 learners.
Engagement: Guided reflection: participants consider how these principles align with their curriculum or SEL goals.
Process: Uses think-aloud modeling and visuals from the presentation (e.g., curiosity → engagement → retention) to connect theory to classroom practice.

4. The Three-Phase Rollout Model (15 minutes)
Content: Holly and Alana outline the phased approach for integrating student-facing AI:
Phase 1: Familiarity – Teachers explore and model AI use (e.g., ChatGPT, Claude).
Phase 2: Roles & Responsibilities – Students become “detectives,” “DJs,” and “remixers.”
Phase 3: Rethinking the Assignment – Transition from recall-based to creative tasks (e.g., essays → TED Talks).
Engagement: Participants analyze sample lesson designs and observe progression through the phases.
Process: Presenters model each phase using visuals, teacher exemplars, and student work, reinforcing “Guide: Develop Expertise.”
5. Classroom Applications and Student Showcases (10 minutes)
Content: Student co-presenter and video examples highlight authentic student-facing activities: Creative Creature Experience, image generators, QuickDraw, and Teachable Machine.
Engagement: Participants observe how AI tools enhance inclusion for ENL learners and provide differentiated feedback loops.
Process: Demonstration and storytelling illustrate how students use AI to explore identity, empathy, and voice—meeting ISTE Standard 1c.

6. From Vision to Practice: Equity and Access (7 minutes)
Content: Presenters connect back to district and leadership strategies that ensure equitable AI implementation—professional learning, access, and staff support.
Engagement: Participants reflect on one barrier to access in their school and note an actionable next step.
Process: Reinforces the Educator Standard 2b and Leader Standard 3d through practical modeling and policy-to-practice examples

7. Reflection and Call to Action (3 minutes)
Content: Key takeaways summarized through the lenses of curiosity, creativity, and inclusion.
Engagement: Participants capture one actionable idea or “Monday Move” on a reflection card or digital form.
Process: Encourages personal ownership and real-world transfer.

Outcomes

After this session, participants will be able to:
Design developmentally appropriate, student-facing AI experiences that enhance curiosity, creativity, and critical thinking in elementary classrooms.
Implement a phased rollout plan that builds teacher capacity and integrates AI responsibly through existing initiatives, avoiding “initiative fatigue.”
Differentiate instruction using AI to meet diverse learner needs, including ENL students and those requiring scaffolded or social-emotional support.
Model how AI can act as a feedback partner for young learners, helping students iterate, reflect, and demonstrate understanding in multiple modalities.
Apply Universal Design for Learning principles to ensure AI integration promotes access, equity, and inclusion for every student.
Collaborate with students as co-designers of learning, empowering them to explore, experiment, and share their voices through AI-driven creation.
Develop an actionable next-step plan to bring AI literacy, student agency, and teacher confidence to life within their own schools or districts.

Supporting research

Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning.
Clark, H. (2023). The AI Infused Classroom. Elevate Books Edu.

Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2).

Hooker, C. (2023). Learning Evolution. XFactor Publishing.

Klein, A. (2023, February 15). Outsmart CHATGPT: 8 tips for creating assignments it can’t do. Education Week. https://www.edweek.org/technology/outsmart-chatgpt-8-tips-for-creating-assignments-it-cant-do/2023/02

Miller, M (2023). AI For Educators. Ditch That Textbook.

Piercey, D (2023). 50 Strategies for Integrating AI Into the Classroom. Shell Education.

Qadir, J. (2022). Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education.

Universal Design for Learning: Center for Teaching Innovation. Universal Design for Learning | Cornell University’s Center for Teaching Innovation. (n.d.). https://teaching.cornell.edu/teaching-resources/designing-your-course/universal-design-learning

U.S. Department of Education, Office of Educational Technology, Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations, Washington, DC, 2023.

Winnick, A. (2023). The Generative Age: Artificial Intelligence and the Future of Education. ConnectEDD.

Winnick, A. (2024). Empowering leaders to adapt to the AI-driven future. Vanguard: School Administrators Association of New York State, Spring 2024 (Education Meets AI), 13–15.

Zhai, X. (2022). ChatGPT user experience: Implications for education.