Arduino & Computational Thinking Research
AP Research Meta-Analysis Study
Conducted a comprehensive meta-analysis examining the effectiveness of computing devices in problem-based learning environments and their implications for Arduino-based computational thinking education. This rigorous research study earned a score of 5 on the AP Research exam and is currently in final steps for peer-reviewed publication.
Key Achievements
- Conducted meta-analysis of 7 studies with 612 participants total
- Found moderate positive effect (Cohen's d = 0.525) of computing devices on problem-based learning
- Demonstrated low heterogeneity (I² = 11.05%) showing consistent results across studies
- Provided evidence-based recommendations for Arduino-based computational thinking education
- Addressed critical gap in educational technology research
- Achieved a perfect score of 5 on the AP Research exam
- Research manuscript currently in final steps for peer-reviewed publication
Impact & Vision
This research has directly informed my educational initiatives, leading to the integration of Arduino-based computational thinking modules in both STEM4All curricula and the Laos Sansouk School programming courses. The findings have guided the development of cost-effective maker spaces in underserved communities, with plans to establish Arduino learning labs in 5 additional international chapters by 2025. Beyond direct implementation, this work contributes to educational policy by providing empirical evidence for budget-conscious schools seeking effective computational thinking solutions, particularly benefiting resource-constrained institutions and underserved communities worldwide.
"Every initiative I undertake is guided by my commitment to faith, service, and innovation - creating meaningful change that extends far beyond individual achievements."