The current digital transformation in manufacturing has a strong impact on the competencies needed by manufacturing companies. This leads to evolving requirements for digital training in industrial engineering courses. The concept of virtual labs in academic environments can be instrumental in teaching new digital skills through practical experience. This paper aims to examine the requirements and essential factors involved in designing virtual labs, proposing a framework to meet the requirements of virtual lab activities, integrating didactic and research purposes while examining the requirements and essential factors involved in designing virtual labs digital twin as an enabling technology. The framework is the result of the analysis of the technical aspects related to immersive technologies, such as extended reality, together with insights gathered from interviews and pilot testing conducted in workshops involving students, teachers, and lab managers from three institutions implementing virtual labs. The outcomes of this study include the digital model of four manufacturing labs as virtual labs that are openly available for academic purposes. This showcases a commitment towards offering quality and inclusive engineering education through cutting-edge virtual technologies.
1. Schneckenberg, D. Understanding the real barriers to technology-enhanced innovation in higher education. Educ. Res., 2009, 51(4), 411–424.
https://doi.org/10.1080/00131880903354741
2. Spada, I., Chiarello, F., Curreli, A. and Fantoni, G. On the link between education and Industry 4.0: a framework for a data-driven education design. In Proceedings of the 2022 IEEE Global Engineering Education Conference (EDUCON), Tunis, Tunisia, 28–31 March 2022. IEEE, 2022, 1670–1677.
https://doi.org/10.1109/EDUCON52537.2022.9766534
3. Terkaj, W., Annoni, M., Martinez, B. O., Pessot, E., Sortino, M. and Urgo, M. Digital twin for factories: challenges and industrial applications. In Selected Topics in Manufacturing (Carrino, L., Galantucci, L. M. and Settineri, L., eds). Springer, Cham, 2024, 255–274.
https://doi.org/10.1007/978-3-031-41163-2_13
4. Sezgin, S. and Sevim Cirak, N. The role of MOOCs in engineering education: an exploratory systematic review of peer-reviewed literature. Comput. Appl. Eng.. Educ., 2021, 29(4), 950–968.
https://doi.org/10.1002/cae.22350
5. Grieves, M. and Vickers, J. Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In Transdisciplinary Perspectives on Complex Systems (Kahlen, F.-J., Flumerfelt, S. and Alves, A., eds). Springer, Cham, 2017, 85–113.
https://doi.org/10.1007/978-3-319-38756-7_4
6. Urgo, M., Terkaj, W., Mondellini, M. and Colombo, G. Design of serious games in engineering education: an application to the configuration and analysis of manufacturing systems. CIRP J. Manuf. Sci. Technol., 2022, 36, 172–184.
https://doi.org/10.1016/j.cirpj.2021.11.006
7. Mahmood, K., Otto, T., Kuts, V., Terkaj, W., Modoni, G. E., Urgo, M. et al. Advancement in production engineering education through virtual learning factory toolkit concept. Proc. Estonian Acad. Sci., 2021, 70(4), 374–382.
https://doi.org/10.3176/proc.2021.4.02
8. Terkaj, W., Pessot, E., Kuts, V., Bondarenko, Y., Pizzagalli, S. and Kleine, K. A framework for the design and use of virtual labs in digital engineering education. AIP Conf. Proc., 2024, 2989(1), 030003.
https://doi.org/10.1063/5.0189669
9. Deniz, S., Müller, U. C., Steiner, I. and Sergi, T. Online (remote) teaching for laboratory based courses using “digital twins” of the experiments. J. Eng. Gas Turbines Power, 2022, 144(5), 051016.
https://doi.org/10.1115/1.4053323
10. Potkonjak, V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, V. M. et al. Virtual laboratories for education in science, technology, and engineering: a review. Comput. Educ., 2016, 95, 309–327.
https://doi.org/10.1016/j.compedu.2016.02.002
11. Mejías Borrero, A. and Andújar Márquez, J. M. A pilot study of the effectiveness of augmented reality to enhance the use of remote labs in electrical engineering education. J. Sci. Educ. Technol., 2012, 21(5), 540–557.
https://doi.org/10.1007/s10956-011-9345-9
12. di Lanzo, J. A., Valentine, A., Sohel, F., Yapp, A. Y. T., Muparadzi, K. C. and Abdelmalek, M. A review of the uses of virtual reality in engineering education. Comput. Appl. Eng. Educ., 2020, 28(3), 748–763.
https://doi.org/10.1002/cae.22243
13. Kleine, K. and Pessot, E. Virtualising labs in engineering education: a typology for structure and development. High. Educ. Res. Dev., 2024, 43(1), 119–133.
https://doi.org/10.1080/07294360.2023.2228227
14. Stahre Wästberg, B., Eriksson, T., Karlsson, G., Sunnerstam, M., Axelsson, M. and Billger, M. Design considerations for virtual laboratories: a comparative study of two virtual laboratories for learning about gas solubility and colour appearance. Educ. Inf. Technol., 2019, 24, 2059–2080.
https://doi.org/10.1007/s10639-018-09857-0
15. Biggs, J. and Tang, C. Teaching for Quality Learning at University. 4th ed. McGraw-Hill Education, UK, 2011.
16. Grieves, M. Origins of the digital twin concept. Working paper. Florida Institute of Technology, USA, 2016.
https://doi.org/10.13140/RG.2.2.26367.61609
17. Singh, M., Srivastava, R., Fuenmayor, E., Kuts, V., Qiao, Y., Murray, N. et al. Applications of digital twin across industries: a review. Appl. Sci., 2022, 12(11).
https://doi.org/10.3390/app12115727
18. Berardinucci, F., Colombo, G., Lorusso, M., Manzini, M., Terkaj, W. and Urgo, M. A learning workflow based on an integrated digital toolkit to support education in manufacturing system engineering. J. Manuf. Syst., 2022, 63, 411–423.
https://doi.org/10.1016/j.jmsy.2022.04.003
19. Nielsen, C. P. and Yu, F. Product design for matrix-structured manufacturing systems. Procedia CIRP, 2022, 109, 407–412.
https://doi.org/10.1016/j.procir.2022.05.270
20. Kuts, V., Marvel, J. A., Aksu, M., Pizzagalli, S. L., Sarkans, M., Bondarenko, Y. et al. Digital twin as industrial robots manipulation validation tool. Robotics, 2022, 11(5), 113.
https://doi.org/10.3390/robotics11050113
21. Nicola, G., Villagrossi, E. and Pedrocchi, N. In Proceedings of the 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Napoli, Italy, 29 August – 2 September 2022. IEEE, 2022, 498–504.
22. Jalo, H., Pirkkalainen, H., Torro, O., Pessot, E., Zangiacomi, A. and Tepljakov, A. Extended reality technologies in small and medium-sized European industrial companies: level of awareness, diffusion and enablers of adoption. Virtual Real., 2022, 26(4), 1745–1761.
https://doi.org/10.1007/s10055-022-00662-2