Digital twins and metaverse in STEAM education: a systematic state-of-the-art review
DOI:
https://doi.org/10.71112/617ad245Keywords:
digital twins, metaverses, STEAM, learning, internet of things.Abstract
The advancement of virtual reality (VR) and augmented reality (AR) technologies has made it possible to incorporate immersive digital spaces as metaverses; alongside these is added the Internet of Things (IoT), which enables remote control solutions. This breakthrough has given rise to digital twins, virtual representations of physical systems, which allow real-time behavior simulation and prediction. These technologies are transforming Industry 4.0 by improving efficiency and customization. Challenges such as system interoperability, privacy protection, and scalability, as well as its application in the education sector to enhance learning of Science, Technology, Engineering, Art, and Mathematics (STEAM). This article presents state-of-the-art research, synthesizing the main findings on the Metaverse and Digital Twins as applied to the development of STEAM-based learning. A systematic literature review was conducted, which generally found that the integration of IoT and the metaverse in education has facilitated the development of more interactive and connected platforms that encourage student participation in virtual learning environments.
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Alex, S. A., and J. J. V. Nayahi, “Deep incremental learning for big data stream analytics,” in Lecture Notes on Data Engineering and Communications Technologies, A. P. Pandian et al., Eds. Cham, Switzerland: Springer, 2020, pp. 600–614, doi: 10.1007/978-3-030-24643-3_72. Disponible en: https://doi.org/10.1007/978-3-030-24643-3_72
Alcaraz, C., and J. Lopez, “Digital twin: A comprehensive survey of security threats,” IEEE Communications Surveys & Tutorials, vol. 24, no. 3, pp. 1475–1503, 2022, doi: 10.1109/COMST.2022.3181022. Disponible en: https://doi.org/10.1109/COMST.2022.3171465
Al-Ghareeb, K., A. Tabbal, and K. Shaltout, “The potential of digital twins in STEAM education,” IEEE Access, vol. 11, pp. 89765–89778, 2023.
Aliyu, I., S. Oh, N. Ko, T. W. Um, and J. Kim, “Dynamic partial offloading for metaverse in grid computing,” IEEE Access, vol. 12, pp. 11615–11627, 2024, doi: 10.1109/ACCESS.2023.3344817. Disponible en: https://doi.org/10.1109/ACCESS.2023.3344817
Bonales-Daimiel, G., B. Moreno-Albarracín, and A. García-Rivero, “Children’s behavior at metaverses: Interactions, digital identities, and parents’ perceptions,” Online Journal of Communication and Media Technologies, vol. 14, no. 2, e202418, 2024, doi: 10.30935/ojcmt/14338. Disponible en: https://doi.org/10.30935/ojcmt/14338
Burbaitė, R., and D. Gudonienė, “Integration of IoT concepts into STEAM-driven computer science education,” in The Internet of Things for Education. Cham, Switzerland: Springer, 2021, pp. 63–75, doi: 10.1007/978-3-030-85720-2_5. Disponible en: https://doi.org/10.1007/978-3-030-85720-2_5
Caggianese, G., L. Sabatucci, A. Augello, and L. Gallo, “The MetaMetaverse: Ideation and future directions,” Future Internet, vol. 15, no. 12, Art. no. 394, 2023, doi: 10.3390/fi15120394. Disponible en: https://doi.org/10.3390/fi15120394
Caprotti, F., S. E. Bibri, and Z. Allam, “Platformization and the metaverse: Opportunities and challenges for urban sustainability and economic development,” Smart Cities, vol. 3, no. 4, pp. 1155–1172, 2023, doi: 10.3390/smartcities3040022. Disponible en: https://doi.org/10.4108/ew.3842
Chen, C. Y., and Y. C. Lin, “Girls in robot class: Smart textiles interactive tool-kits to enhance the participation of women in technology,” in Learning and Collaboration Technologies. Cham, Switzerland: Springer, 2017, pp. 134–147, doi: 10.1007/978-3-319-58515-4_11. Disponible en: https://doi.org/10.1007/978-3-319-58515-4_11
Cheng Shi, C., C.-C. Chang, E. Al-Masri, A. C. H. Chen, H. Wang, Q. Zhang, H.-T. Tseng, K. Shankar, and T. Kim, “The 3rd International Workshop on Deep Learning for the Web of Things,” in Companion Proceedings of the ACM Web Conference 2023, ACM, 2023, pp. 1–5, doi: 10.1145/3543873.3589744. Disponible en: https://doi.org/10.1145/3543873.3589744
Chung, C. C., C. L. Lin, and S. J. Lou, “Analysis of the learning effectiveness of the STEAM-6E special course,” Sustainability, vol. 10, no. 9, Art. no. 3040, 2018, doi: 10.3390/su10093040. Disponible en: https://doi.org/10.3390/su10093040
Guiffo Kaigom, E., “Metaverse potential for robotic applications in Industry 4.0 and 5.0,” Procedia Computer Science, vol. 232, pp. 1829–1838, 2024, doi: 10.1016/j.procs.2024.02.005. Disponible en: https://doi.org/10.1016/j.procs.2024.02.005
Han, Z., H. Qi, L. Wang, M. I. Menhas, and M. Fei, “Water level control of nuclear power plant steam generator,” in ICSEE/IMIOT 2018. Singapore: Springer, 2018, pp. 14–23, doi: 10.1007/978-981-13-2381-2_2. Disponible en: https://doi.org/10.1007/978-981-13-2381-2_2
He, N., K. Ding, and J.-B. Zhang, “Exploration and research on digital education scenarios from the perspective of metaverse,” in Proc. ICOT, IEEE, 2022, doi: 10.1109/ICOT56925.2022.10008167. Disponible en: https://doi.org/10.1109/ICOT56925.2022.10008167
Hou, K. M., X. Diao, H. Shi, H. Ding, H. Zhou, and C. de Vaulx, “Trends and challenges in AIoT/IIoT/IoT implementation,” Sensors, vol. 23, no. 11, Art. no. 5074, 2023, doi: 10.3390/s23115074. Disponible en: https://doi.org/10.3390/s23115074
Jamshidi, M., S. Sargolzaei, S. Foorginezhad, and O. Moztarzadeh, “Metaverse and microorganism digital twins,” Applied Soft Computing, vol. 147, Art. no. 110798, 2023, doi: 10.1016/j.asoc.2023.110798. Disponible en: https://doi.org/10.1016/j.asoc.2023.110798
Khan, L. U., Z. Han, W. Saad, D. Niyato, and C. S. Hong, “Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities,” IEEE Communications Surveys & Tutorials, vol. 24, no. 4, pp. 2230–2254, 2022, doi: 10.1109/COMST.2022.3198273. Disponible en: https://doi.org/10.1109/COMST.2022.3198273
Kravčík, M., C. Ullrich, and C. Igel, “The potential of the Internet of Things for supporting learning,” in Positive Learning in the Age of Information. Cham, Switzerland: Springer, 2018, pp. 399–412, doi: 10.1007/978-3-030-51968-1_4. Disponible en: https://doi.org/10.1007/978-3-030-51968-1_4
Kuo, H.-T., and T.-M. Choi, “Metaverse in transportation and logistics operations,” Transportation Research Part E: Logistics and Transportation Review, vol. 185, Art. no. 103496, 2024, doi: 10.1016/j.tre.2024.103496. Disponible en: https://doi.org/10.1016/j.tre.2024.103496
Li, H., and B. Li, “The state of metaverse research: A bibliometric visual analysis based on CiteSpace,” Journal of Big Data, vol. 11, Art. no. 14, 2024, doi: 10.1186/s40537-024-00877-x. Disponible en: https://doi.org/10.1186/s40537-024-00877-x
Murala, D. K., “METAEDUCATION: State-of-the-art methodology for empowering feature education,” IEEE Access, vol. 12, pp. 57995–58019, 2024, doi: 10.1109/ACCESS.2024.3391903. Disponible en: https://doi.org/10.1109/ACCESS.2024.3391903
Nguyen, H., A. Hussein, M. A. Garratt, and H. A. Abbass, “Swarm metaverse for multi-level autonomy using digital twins,” Sensors, vol. 23, no. 10, Art. no. 4892, 2023, doi: 10.3390/s23104892. Disponible en: https://doi.org/10.3390/s23104892
Polyviou, A., and I. O. Pappas, “Chasing metaverses,” Information Systems Frontiers, vol. 25, pp. 2417–2438, 2023, doi: 10.1007/s10796-022-10364-4. Disponible en: https://doi.org/10.1007/s10796-022-10364-4
Qu, Q., et al., “The Microverse: A task-oriented edge-scale metaverse,” Future Internet, vol. 16, Art. no. 60, 2024, doi: 10.3390/fi16020060. Disponible en: https://doi.org/10.3390/fi16020060
Sabatucci, L., A. Augello, G. Caggianese, and L. Gallo, “Envisioning digital practices in the metaverse,” Future Internet, vol. 15, Art. no. 394, 2023, doi: 10.3390/fi15120394. Disponible en: https://doi.org/10.3390/fi15120394
Santos, M., V. Carlos, and A. A. Moreira, “Towards interdisciplinarity with STEAM educational strategies,” Educational Media International, vol. 60, no. 3–4, pp. 274–291, 2023, doi: 10.1080/09523987.2023.2324581. Disponible en: https://doi.org/10.1080/09523987.2023.2324581
Sharma, N., and N. Jindal, “Emerging AI applications: Metaverse, IoT, cybersecurity,” Multimedia Tools and Applications, vol. 83, pp. 57317–57345, 2024, doi: 10.1007/s11042-023-17890-6. Disponible en: https://doi.org/10.1007/s11042-023-17890-6
Shi, L., and H. Zhu, “User data privacy protection algorithms in metaverse based on emotional AI,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, pp. 1–18, 2024, doi: 10.2478/amns.2023.2.00636. Disponible en: https://doi.org/10.2478/amns.2023.2.00636
Yao, X., et al., “Enhancing wisdom manufacturing as industrial metaverse,” Journal of Intelligent Manufacturing, vol. 35, no. 1, pp. 235–255, 2024, doi: 10.1007/s10845-022-02027-7. Disponible en: https://doi.org/10.1007/s10845-022-02027-7
Zhou, X., et al., “Personalized federated learning for multimodal user modeling,” IEEE Journal on Selected Areas in Communications, vol. 42, no. 4, pp. 817–834, 2024, doi: 10.1109/JSAC.2023.3345431. Disponible en: https://doi.org/10.1109/JSAC.2023.3345431
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Copyright (c) 2026 Lubeimar Eduardo Gallego Ruiz, Richard de Jesús Gil Herrera, Edwin Eduardo Millán Rojas, Lucelly Correa Cruz (Autor/a)
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