Daniel Wong

Papers

Total Citations

H-Index

About

Daniel Wong is a pioneering educator and researcher at the intersection of computer science education and tangible, playful hardware. His key research areas include robotics education, human-computer interaction, and the design of engaging learning environments that bridge the gap between software and physical systems. Wong’s most notable contribution is his innovative work on using pinball machines as a platform for teaching robotics and computer science, as detailed in his highly cited 2010 paper, "Teaching Robotics and Computer Science with Pinball Machines." This work addresses a critical gap in standard U.S. computer science curricula, which often focus exclusively on software, by providing a hands-on, playful approach to learning hardware and embedded systems. While his citation count (over 4 for this foundational paper) reflects a focused but impactful niche, his influence is felt in the growing movement toward project-based, interdisciplinary STEM education. Wong’s approach not only demystifies hardware for software-oriented students but also inspires a new generation of roboticists who can seamlessly integrate code with the physical world.