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About

Wernhuar Tarng is an educational technology researcher whose work sits at the intersection of virtual reality, robotics education, and immersive learning design. With a focus on reducing cognitive load and enhancing student engagement, Tarng has made significant contributions to the development of technology-enhanced learning environments that make complex, abstract concepts accessible to learners at all levels. Tarng's most influential work explores the application of virtual reality to teach challenging subjects, including the material properties of shape memory alloys — a study that has garnered 32 citations and demonstrated VR's potential in materials science education. Building on this foundation, Tarng has extended virtual and digital twin technologies into robotics instruction, developing integrated systems that address the inherently demanding mathematics of kinematics and path planning. A 2024 study on digital twin-based robot learning systems has already attracted 12 citations, reflecting its timely relevance. More recently, Tarng has turned attention toward younger learners, designing virtual robotic platforms to support spatial reasoning in junior high school students and leveraging App Inventor 2 alongside educational robotics to cultivate computational thinking and programming logic. Together, these contributions establish Tarng as a dedicated innovator bridging advanced technology and meaningful pedagogical practice.