Engineering education increasingly emphasizes project-based and interdisciplinary learning to prepare students for modern, complex industry challenges. In this context, digital twins—detailed, real-time virtual models of physical systems—have the potential to emerge as a novel tool for enhancing design-focused coursework such as cornerstone and capstone projects. By coupling advanced computing and live data, digital twins allow students to test, refine, and analyze system behaviors under authentic conditions without building costly prototypes. This paper presents a systematized literature review examining existing research on digital twin applications in engineering education, particularly design-related courses.
The review process involved defining inclusion criteria, conducting database searches across Google Scholar, IEEE Xplore, Web of Science, and Scopus, and synthesizing studies published between 2014 and 2024. In total, 16 relevant articles were identified and analyzed. Four core themes emerged from the data: (1) Digital Twins as a Bridge Between Theory and Practice, illustrating how students can connect abstract concepts to hands-on experiments; (2) Support for Remote and Hybrid Learning Models, highlighting the role of digital twins in providing realistic virtual labs and collaboration opportunities beyond the classroom; (3) Student Learning Experiences, showcasing how immersive and interactive environments improve engagement, problem-solving, and design competencies; and (4) Cross-Disciplinary Collaboration and Industry–Academia Integration, emphasizing how digital twins facilitate partnerships across engineering fields and with industry.
Findings suggest that digital twins can potentially strengthen students’ technical and analytical skills. However, challenges such as high implementation costs, infrastructure requirements, and faculty training persist. This review concludes that while digital twins stand poised to reshape engineering curricula, additional large-scale evaluations and innovative strategies to mitigate adoption barriers are necessary to realize their transformative impact fully.
The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on July 31, 2025