Moeketsi Mosia
Papers
4
Total Citations
13
H-Index
2
About
Moeketsi Mosia is a rising scholar at the forefront of robotics education, dedicated to bridging the global programming skills gap through innovative, project-based learning. His research centers on the pedagogical integration of Arduino robotics, focusing on how hands-on, project-driven approaches can dramatically boost student achievement, task persistence, and programming competence. Mosia’s most influential work, a 2025 study on Project-Based Arduino Robot Applications (PARA), demonstrated significant positive effects on undergraduate learning outcomes, earning 5 citations and establishing a practical framework for educators. He further advanced this line of inquiry by developing a PARA-based learning app specifically for preservice teachers in Nigeria, addressing critical training shortages in computer and robotics education. Beyond hardware and curriculum design, Mosia explores the nuanced human factors in STEM learning. His Bayesian factorial regression analysis (2025) reveals how perceived barriers in robotics education vary by career stage, gender, and training, while his 2026 study on gender as a moderator between teamwork, grit, and achievement provides vital insights for creating more inclusive learning environments. With a rapidly growing body of work that combines rigorous quantitative methods with real-world educational solutions, Mosia is shaping the future of how robotics is taught and who succeeds in it.
Research Focus
Key Achievements
Top Papers
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