High school students in a project-based robotics + AI curriculum developed robotics understanding by troubleshooting hardware and operational factors of physical robots¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Students learned about robotics as they attempted to solve issues arising from the robot's hardware and to manage operational factors such as wheel calibration, battery level, and initial robot placement. → G. McLaughlin 2026

Evidence¶

G. McLaughlin 2026¶

G. McLaughlin, E. Novak, S. Ahmadi, J. Li, Y. Guo, R. Liu, & L. Borgerding. (2026). Pathways to learning: exploring high school students' learning of AI-powered educational robotics. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10651-w

q2 · i? · qualitative · r2

Qualitative thematic analysis of interviews, field notes, artifacts, and final presentations from 15 high school students in a semester-long mBot curriculum. The article reports that students reasoned about hardware issues, e.g., Robert attributed drift to "the left wheel that was more sensitive than the right wheel."

"Our findings show that students learned more about robotics as they attempted to solve issues arising from the robot's hardware and to manage operational factors."

Discussion¶

Related Claims¶

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