Yu-Jung Wu

Papers

Total Citations

H-Index

About

Yu-Jung Wu is a pioneering researcher at the intersection of educational technology and robotics, with a primary focus on leveraging virtual reality (VR) to transform STEM learning. Her work addresses the critical challenge of making complex robotics concepts—such as forward and inverse kinematics, path planning, and spatial vectors—accessible to students who often struggle with high cognitive loads and abstract mathematical reasoning. Wu’s most cited paper, “Application of Virtual Reality in Developing the Digital Twin for an Integrated Robot Learning System” (2024), has already garnered 12 citations, demonstrating its immediate impact on the field. In this study, she developed a VR-based digital twin that allows learners to interact with robotic systems in a low-stakes, immersive environment, effectively reducing barriers to understanding. Her subsequent work, “Development of a Virtual Robotic System for Learning Spatial Vector Concepts in Junior High Schools” (2025), extends this approach to younger students, using virtual robots to improve spatial reasoning and conceptual depth. Wu’s contributions are notable for their practical, classroom-ready applications, bridging the gap between advanced robotics theory and K-12 education. By creating intuitive, hands-on learning tools, she is shaping the future of how robotics and spatial mathematics are taught, making her a key figure in technology-enhanced education.