Digital Twins and Engineering Education: Current Status

Muhammad Khalid Shaikh

Authors

Muhammad Khalid Shaikh Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Karachi

Keywords:

digital twins, engineering education, literature review, methodologies, challenges

Abstract

This paper presents a comprehensive review of the use of Digital twins in engineering education among various disciplines. A total of 83 research papers were analyzed, spanning the last decade from 2012 to 2022. Almost all publications were reported after the year 2018, indicating a recent surge in interest and development in this area. The review reveals that digital twin technology offers students an interactive experience with virtual models of real-world products and systems, significantly enhancing the effectiveness of engineering education. It also improves industrial competitiveness through predictive maintenance and fault diagnosis. Digital twins can be used in various engineering disciplines and for personalized learning. However, challenges such as model accuracy and data transfer must be considered when implementing them. Overall, this technology can improve student learning outcomes, increase education accessibility and cost-effectiveness, and improve production systems' safety, visibility, and accessibility. Future requirements of the field are also discussed in this paper.

Author Biography

Muhammad Khalid Shaikh, Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Karachi

Dr. M Khalid Shaikh is working as an Assistant Professor at the Department of Computer Science, Federal Urdu University of Arts, Science & Technology Karachi Pakistan. He holds a PhD in Computer Science from Pakistan, MPhil by research in Information Systems from the UK, a Master’s degree in Computer Science and a second Master’s degree in Statistics from Pakistan. He is also a Foundation/Practitioner certified PRINCE2 Project Manager from the UK. He can speak in English, Urdu, Hindi, French (basic understanding) and Chinese (basic understanding) languages. His areas of interests include Software Engineering, Software Engineering Education, Learning Analytics, Software Project, Teams, applications of ICT in Child Sexual Abuse, Data Science and its application in Digital Twins.

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