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AI for Littles: Exploring AI with our Littlest Learners
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Colorado Convention Center, Innovation Arcade: Emergent Tech Classroom A
Innovation arcade: Model lesson experience 
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Presenters
Nneka has served in public schools for over 15 years. She taught middle school mathematics and was recognized as a district finalist for teacher of the year. Nneka has also served as District Gifted and Talented Coordinator, Director of GT and Advanced Academics, Executive Director for Learning and Innovation, and as a Chief Academic Officer. As part of her doctoral studies, Nneka completed research on the impact of artificial intelligence in K-12 schools. She has shared as a panelist or presenter at local, state, regional, and national conferences.
Session description
Artificial Intelligence (AI) is all the rage, but terms of service and compliance with FERPA and COPPA can leave many AI tools out of reach for early education learners and teachers. AI for Littles will provide participants with no-to-low tech activities they can use to help our littlest learners explore the world of AI while maintaining safety and security.
Session specifications
Topic:
Artificial Intelligence
Attendee devices:
Devices required
Attendee device specification:
Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Participant accounts, software and other materials:
Curipod (https://www.curipod.com)
Teachable Machine (https://teachablemachine.withgoogle.com/)
Teachable Machine (https://teachablemachine.withgoogle.com/)
Subject area:
Computer science, STEM/STEAM
ISTE Standards:
For Coaches:
Learning Designer
Designer
Computational Thinker
Learning Designer
- Collaborate with educators to develop authentic, active learning experiences that foster student agency, deepen content mastery and allow students to demonstrate their competency.
Designer
- Design authentic learning activities that align with content area standards and use digital tools and resources to maximize active, deep learning.
Computational Thinker
- Students break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.