Brief Report - (2025) Volume 14, Issue 1
Creating a Skilled Workforce to Meet Future Industry Needs: The Promise of Teaching and Learning Approaches Based on Digital Twins in Engineering Education
Keriile Lesrb*
*Correspondence:
Keriile Lesrb, Department of Biochemistry, La Trobe University,
La Trobe Institute of Molecular Science, VIC 3086,,
Australia,
Email:
Department of Biochemistry, La Trobe University, Australia
Received: 12-Dec-2023, Manuscript No. IEM-23-122592;
Editor assigned: 14-Dec-2023, Pre QC No. IEM-23-122592 (PQ);
Reviewed: 28-Dec-2024, QC No. IEM-23-122592;
Revised: 08-Jan-2025, Manuscript No. IEM-23-122592 (R);
Published:
15-Jan-2025
, DOI: 10.37421/2169-0316.2025.14.285
Copyright: © 2025 Lesrb K. This is an open-access article distributed under the terms of the creative commons attribution license which permits unrestricted
use, distribution and reproduction in any medium, provided the original author and source are credited.
Introduction
In an era characterized by rapid technological advancements and
evolving industry demands, there's a growing necessity to prepare a
highly skilled workforce equipped with cutting-edge knowledge and
hands-on experience. Digital twins, a virtual representation of
physical objects or systems, have emerged as a transformative tool in
engineering education. This article aims to explore the promise of
teaching and learning approaches based on digital twins to create a
skilled workforce capable of meeting future industry needs. Digital
twins simulate real-world systems or processes, replicating their
behavior, performance, and characteristics in a virtual environment.
These digital replicas enable analysis, prediction, and optimization
without direct interaction with physical prototypes, offering a costeffective
and efficient means to study complex systems. The
landscape of industries is rapidly evolving, demanding a workforce
equipped with cutting-edge skills and expertise. Engineering
education stands at the forefront of this transformation, leveraging
innovative methodologies like digital twins to prepare students for the
challenges and opportunities of tomorrow. This article explores the
promise of teaching and learning approaches based on digital twins
in engineering
education and their role in shaping a skilled workforce
to meet future industry needs.
Description
Engineering
education has traditionally focused on theoretical
knowledge and practical applications. However, with the rise of
digitalization and industry 4.0, there's a pressing need to integrate
emerging technologies into educational curricula. Digital twins, virtual
representations of physical systems or processes, offer a paradigm
shift in teaching methodologies by providing immersive and
interactive learning experiences. Digital twins offer a visual and
interactive platform for students to comprehend intricate engineering
concepts and systems. This
aids in bridging the gap between
theoretical knowledge and practical applications. Students can
experiment with different parameters and scenarios within the digital
twin environment, facilitating hands-on learning experiences. They can analyze the effects of variations and interactions, fostering a
deeper understanding of engineering principles. Engaging with digital
twins cultivates critical thinking and problem-solving skills. Students
are challenged to troubleshoot issues, optimize performance, and
devise innovative solutions within a simulated environment.
Interactive and immersive learning experiences captivate students'
interest and engagement, making complex concepts more accessible
and stimulating curiosity. Digital twins bridge the gap between
academia and industry by providing a platform for students to apply
theoretical knowledge to practical, industry-relevant scenarios.
Students exposed to digital twins develop adaptive skills, preparing
them to navigate rapidly evolving technological landscapes and
contribute to innovative solutions in their fields.
Conclusion
The rapid evolution of technology necessitates continuous updates
and advancements in digital twin platforms, requiring educational
institutions to adapt swiftly. Overcoming implementation challenges
through collaborative efforts and technological advancements will
ensure that digital twins continue to play a pivotal role in shaping a
highly skilled and future-ready workforce in engineering. Teaching
and learning approaches based on digital twins represent a
transformative opportunity for engineering education. By providing
immersive, experiential, and industry-aligned learning experiences,
digital twins equip students with the skills, knowledge, and
adaptability needed to thrive in dynamic and technology-driven
industries. While challenges exist, strategic investments, faculty
development, and a commitment to innovation can pave the way for a
robust and future-ready engineering workforce, poised to meet the
evolving demands of industries worldwide.