This interactive poster session will showcase how Micro:bits and AI Create can be used together to teach AI literacy through student data projects. Attendees will see live demonstrations of Micro:bits collecting sensor data and training simple AI models. Peer-to-peer discussion prompts and a collaborative idea wall will encourage reflection on classroom applications. Participants will leave with concrete project ideas, practical resources, and strategies to connect data, AI, and real-world problem-solving in grades 6–8 learning.
After this session, participants will be able to:
*Collect sensor data with Micro:bits and prepare it for use in AI Create.
*Train simple AI models with student-collected data and interpret the results.
*Design classroom projects that connect AI literacy to real-world issues relevant to K–8 learners.
*Discuss data bias, prediction accuracy, and ethical use of AI.
*Adapt project ideas to support equity, creativity, and cross-curricular connections in their own teaching contexts.
**Long, D., & Magerko, B. (2020).** *What is AI Literacy? Competencies and Design Considerations.* Proceedings of the 2020 CHI Conference.
(https://dl.acm.org/doi/10.1145/3313831.3376727)
**micro:bit Educational Foundation.** *Research and Impact Reports on micro:bit in Education.*
(https://microbit.org/research/)
**Grover, S., & Pea, R. (2013).** *Computational Thinking in K–12: A Review of the State of the Field.* Educational Researcher, 42(1).
(https://doi.org/10.3102/0013189X12463051)
**UNESCO (2021).*** AI and Education: Guidance for Policy-makers.*
(https://unesdoc.unesco.org/ark:/48223/pf0000376709)
**ISTE.***Hands-On AI Projects for the Classroom.*
(https://cdn.iste.org/www-root/Libraries/Documents%20%26%20Files/Artificial%20Intelligence/AIGDK5_1120.pdf)
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