TITLE:
An Immersive Digital Twin Workflow for Engineering Education Using Reality Capture, Virtual Reality, and Additive Manufacturing
AUTHORS:
Brian Warren, Opeyemi Ojajuni
KEYWORDS:
Digital Twins, Engineering Education, Reality Capture, Virtual Reality, Additive Manufacturing, Experiential Learning, Immersive Learning
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.14 No.3,
August
13,
2026
ABSTRACT: The growing adoption of digital twins, reality capture, virtual reality (VR), and additive manufacturing in industry has created a need for engineering education approaches that integrate these technologies within authentic learning experiences. This study investigates the educational effectiveness of a Physical-to-Digital-to-Physical (PDP) learning framework that engages students in the complete workflow of reality capture, digital twin creation, immersive visualization, and physical fabrication. A quasi-experimental study was conducted with 68 undergraduate engineering students enrolled in an introductory engineering course. Students in the PDP group (n = 46) participated in a semester-long experiential learning workflow involving LiDAR scanning, point cloud processing, digital modeling, VR interaction, and 3D printing, while a control group (n = 22) received conventional instruction. Student outcomes were evaluated using course grades, pass rates, retention measures, and attendance-related failures. Results indicate that the PDP framework significantly improved academic performance and student engagement. PDP students achieved higher pass rates (87.0% vs. 63.6%), more favorable grade distributions (χ2(5) = 13.98, p = 0.016), and eliminated attendance-related failures. The intervention was particularly effective for academically at-risk students, substantially increasing the likelihood of successful course completion. These findings suggest that immersive, experiential learning environments that position students as creators of digital twins rather than consumers of prebuilt models can enhance learning, engagement, and persistence in engineering education. The study provides evidence that integrating reality capture, digital twins, VR, and additive manufacturing within a unified instructional framework offers a promising approach for preparing students for emerging digital engineering workflows and Industry 4.0 environments.