Role of Metaverse in Education: History
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Contributor:
Fabio De Felice
,
Antonella Petrillo
,
Gianfranco Iovine
,
Cinzia Salzano
,
Ilaria Baffo

The potential of the metaverse as a tool to connect people has been increasingly recognized. The opportunities offered by the metaverse seem enormous in many sectors and fields of application. The metaverse presents a promising opportunity for educational innovation, particularly in fields that require hands on experience and practical training.

  • metaverse
  • education
  • virtual reality

1. Introduction

1.1. The Historical Origins of the Metaverse

The origins of the metaverse go back to Neal Stephenson, who in his novel published in 1992 [1], described the metaverse as a sort of shared virtual reality [2]. The term “metaverse” is formed by the prefix meta, which means “with, behind, beyond, after”, and the noun (uni)verse [3]. The notion of the metaverse has existed for decades [4]. However, only after thirty years does the term “metaverse” begin to have more defined contours. In fact, in 2021 Mark Zuckerberg, with the transition from Facebook to Meta, brought the term and the concept of “metaverse” back to the center of public discussion [5]. From a technological point of view, interest in the metaverse has been accelerated by the recent advancements in virtual and augmented reality technologies [6]. The metaverse is a digital universe resulting from multiple technological elements including video, virtual reality, and augmented reality [7]. In the metaverse, users access using 3D viewers and live virtual experiences. Users can create realistic avatars, meet other users, create virtual objects or properties, go to concerts, conferences, travel, and more [8]. There are several platforms to access the metaverse [9] (i.e., Second Life, Decentraland, Sandbox, Stageverse, etc.) [10]. Recent advances in virtual reality technology have made it more feasible to create the metaverse. Leading tech companies, including Facebook, Google, and Microsoft, have invested heavily in developing virtual reality and augmented reality technologies [11]. At present, the metaverse is considered to be a promising area for online technology, with capability to revolutionize interactions, education, employment, and recreation [12]. It is an all-encompassing, interactive, and collaborative environment that combines the features of augmented reality, virtual reality, and the Internet [13]. Figure 1 shows the evolution that led to the birth of the metaverse.
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Figure 1. Evolution of the metaverse.

1.2. Technologies behind the Metaverse

Metaverse technologies are the essential tools utilized in constructing and managing virtual worlds. These encompass virtual reality (VR)/augmented reality (AR), blockchain, cloud computing, and artificial intelligence (AI) [14]. With these technologies, users can interact and experience virtual environments, generate digital assets, operate virtual worlds, and augment user experiences through intelligent, tactile feedback and motion tracking [15]. For example, virtual reality (VR) provides an immersive experience by simulating a complete digital environment, while augmented reality (AR) blends digital elements with the real world [16]. In addition, blockchain technology can secure and make transactions within the metaverse transparent. Cloud computing enables users to access metaverse experiences from anywhere with internet connectivity [17], and artificial intelligence (AI) can help to create more realistic and responsive virtual environments [18]. The metaverse is still under development; however, many companies are already exploring its potential. Big companies such as Microsoft, Nvidia, and Meta are making efforts in this direction, and with the technological advancement [19]. The continuous evolution of these technologies is critical as the metaverse continues to advance and expand [20]. As shown in Figure 2, the trend of “interest over time” is increasing. The development of the metaverse is connected with them. It is expected that the metaverse will use augmented and virtual reality (AR/VR) in combination with artificial intelligence and blockchain to create scalable and accurate virtual worlds.
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Figure 2. Trend of technologies related to the metaverse (source Google Trends—April 2023).

1.3. Exploring the Potential of the Metaverse

The metaverse has already become widely used in various technological fields. For example, it is being used in medicine to simulate surgical procedures and provide training for medical professionals [21]. Through artificial intelligence (AI), it is possible to improve medical diagnoses by connecting medical teams worldwide [22]. It is predicted that thanks to artificial intelligence, healthcare facilities will be able to quickly find timely and accurate information for the health of patients. It will be possible to make the most of resources, increasing efficiency and improving the flow performance of clinical and operational work. In finance, it is being used for virtual conferences and meetings, and even for conducting virtual trade shows and exhibitions. The metaverse has the potential to generate novel economic prospects by offering a platform for virtual commerce, advertising, and business transactions. Additionally, it could spawn new job openings in domains such as virtual reality development and design, contributing to the growth of the digital economy [23]. The metaverse holds promise in revolutionizing the work environment by providing new opportunities for remote teamwork, virtual conferencing, and skill development.

2. Role of Metaverse in Education

2.1. Red Cluster “Knowledge”

The Red Cluster is associated with a high importance score. The red cluster contains keywords related to the concepts: artificial intelligence, augmented reality, knowledge, pandemic/COVID-19. Traditionally, learning takes place in a physical classroom setting, whereas with metaverse technology, learning activities are conducted within a 3D virtual world [24]. As discussed by several authors, leveraging metaverse technology for learning has the potential to transform the way people acquire and process information [25]. This allows them to adapt and refine their knowledge as needed [26]. The analysis of the documents has highlighted that the need to imagine different ways and worlds to socialize [27], to study, and to work emerged essentially in the period of the pandemic/COVID-19 [28][29]. In fact, due to this catastrophe, companies have begun to understand the need to develop new technologies (i.e., the metaverse) [30][31]. In this way, new knowledge and skills can be developed [32]. Innovation makes it possible to implement effective and efficient processes to support the process of changing society worldwide [33]. Thanks to artificial intelligence in the metaverse, it will be possible to create increasingly similar users with a realistic appearance [34]. It will allow them to interact with others and share experiences and knowledge [35]. Furthermore, for the metaverse, as in other fields, artificial intelligence makes it possible to automate software development processes, reducing the time to create new applications and solutions in the metaverse [36]. Therefore, after years in which cloud computing, virtual reality, and artificial intelligence have dominated media interest and attention from organizations, a new trend is now making its way to innovate how people and companies will work, communicate, and have fun [37].
The studies analyzed highlight that realizing the metaverse as the next immersive internet requires overcoming several unprecedented technological challenges [38]. The metaverse has the potential to transform education by creating immersive, interactive, and collaborative learning environments that can enhance employee/student engagement and facilitate active learning [39]. In the era of Industry 4.0 and virtual reality, the industrial metaverse takes shape [40]. Enabled by artificial intelligence, it promotes digital twin technology to help decision-makers make timely informed decisions [41]. However, the success of the metaverse will greatly depend on the integration of technologies and the data that are transmitted by sensors installed in the real world [42]. Figure 3 shows an example of training through the metaverse.
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Figure 3. Metaverse experience integrated with a digital twin (elaboration by the authors).
In the experience, a photo-realistic digital twin is integrated into the industrial metaverse, offering a potential to transform a real supply chain into a virtual world in which people can interact and collaborate. A svupply chain of a manufacturing company is simulated.

2.2. Green Cluster “Technologies”

The Green Cluster is characterized by a medium importance score. The keywords are: blockchain, deep learning, digital twins, extended reality, I4.0, IoT, and machine learning. As highlighted by several authors, from a technological point of view, there are several technologies that today contribute to the creation of metaverses [43][44]. These technologies include virtual reality, mixed reality, artificial intelligence, blockchain, and finally the internet infrastructure and device processors [45][46]. In this regard, it emerges that the various industrial sectors have long been looking for new ways to increase productivity, efficiency, and resilience [47][48]. Thus, digitization has become one of the main methods to achieve this goal [49][50]. COVID-19 has required and enabled companies to accelerate their digital transformation journey, opening up multiple opportunities that many did not think possible before [51]. As a result, the need for digital skills of the future will become ever more critical [52]. Emerging technologies that enable Web3, the cloud, and perhaps one of the greatest ICT innovations of all, the metaverse, will be essential [53][54]. A lot of research shows that the biggest and most impactful opportunities will come from other forms of this virtual and augmented environment, such as the industrial and corporate metaverse [55]. These applications will allow organizations to blur the lines between physical and digital environments and to reshape the world, defined as “digital twins” [56]. In practice, it means that projects can be built virtually before being replicated in the real world [57]. For example, using augmented reality and virtual reality (AR/VR), factory employees will be able to design and test equipment before implementing it in a real production line, thereby limiting risk and more accurately predicting production volumes [58]. Figure 4 shows an example of training through the metaverse for interactive learning using VR and AR.
/media/item_content/202306/648a6b0bdaf12applsci-13-05682-g012.png
Figure 4. Industrial metaverse for interactive learning (elaboration by the authors).

2.3. Blue Cluster “Platform”

The Blue Cluster contains keywords related to the concepts: avatar, e-learning, education, training, platforms, virtual worlds, and virtual learning environment. Analysis of the documents highlights that the metaverse is seen as the next big evolution in online interaction, moving from today’s text-based websites and often closed ecosystems to shared, interconnected spaces where users interact via avatars [59][60]. However, many authors point out that today the technology of the metaverse is only in its infancy [61][62]. Despite the existence of various virtual worlds, many of them are still in fact far from becoming truly interconnected with each other [63][64]. However, studies show that there is no doubt about its potential. The metaverse at the moment is like the internet of the 1990s; it needs several leaps of development before it gains widespread use [65]. The metaverse represents a new means of communication [66]. It radically evolves social interactions between users, overcoming the limits of 2D technology, and therefore offers the possibility of relating in an innovative and immersive way, as pointed out by several authors [67]. It is reasonable to think that the metaverse is not only a virtual universe, but also an innovative means of communication [68]. Probably it is the most inclusive space currently existing, both online and offline [69]. This undoubtedly represents a strong point of the metaverse, which characterizes it and distinguishes it from all the rest, fully demonstrating its innovative character that everyone is talking about [70][71].

2.4. Yellow Cluster “Academic”

The Yellow Cluster contains keywords related to the concepts: human experiment, university, sustainability, teaching, internet, and student. From this point of view, many authors agree in stating that the metaverse and training is a winning combination because AR, VR, and MR experiences increase student involvement, promoting memory and understanding [72][73]. Associating the words metaverse and formation may seem precocious [74]. However, the academic and training world is witnessing an unstoppable evolution. In fact, on the one hand, traditional teaching methods make it possible to achieve the desired learning objectives [75]. On the other hand, however, the younger generations (digital natives) require the adoption of tools and methodologies beyond the traditional frontal lesson [76]. Therefore, from the analysis it emerges that especially in academies (places of excellence of knowledge) it is worth exploring what technology offers today for education, because Web3, even more than Web2, presents great opportunities for those who want to learn [77][78]. In fact, students can follow the lesson wherever they are, but without losing the perception of being in the place assigned to learning [79]. The metaverse makes travel not only in space, but also in time. This means that the study of history can take place by visiting the still intact ancient Rome, or that of astronomy by traveling to the moon, and so on [80]. Many authors point out that, for example, another typical activity of the metaverse and training (above all corporate) is the simulation of risky or difficult actions to try firsthand in reality [81]—an activity from which technical-scientific professions can especially benefit, making up for the possible scarcity of physical means with digital technology and avoiding the risk of accidents [82][83]. In addition, it should be noted that virtual worlds can also support intellectual learning (for example, languages can be learned by dialoguing and interacting with chatbot avatars, guided by artificial intelligence) [84][85]. Finally, the metaverse can support the implementation of teamwork activities in the classroom or in the company. In fact, students in the virtual space can work more easily on a common project by sharing a desktop without limitations [86][87].

2.5. Purple Cluster “Ecosystems”

The Purple Cluster is associated with the following keywords: ecosystems, learning systems, and technology acceptance. From this point of view, most of the authors agree in stating that the world is heading towards a “great reversal” [88][89][90]. It means a new ecosystem composed of 5G and related key technologies such as edge cloud infrastructure, software, augmented intelligence/machine learning, advanced sensors, and robotics [91][92][93][94]. Thanks to the combination of these capabilities the technologies operating in the physical and digital industries will find the necessary solutions to address the much-needed digital transformation in the next ten years [95][96]. In other words, the metaverse is a complex ecosystem made up of different tools and digital tools [97][98][99][100][101][102]. The digital transition in the health system is revolutionizing medicine. For example, many researchers predict that it will be possible to amplify the curative efficacy of rehabilitation treatments (both at home and post-operative in specialized centers) [103][104][105][106]. Without doubt, many researchers believe that metaverse-related opportunities will grow as long as they are balanced by long-term plans to support economic needs and social and environmental transformations [107][108][109][110].

3. Conclusions

The metaverse is a concept that has been in development for several years. The metaverse presents a promising opportunity for educational innovation, particularly in fields that require hands on experience and practical training. In fact, the economy of the metaverse is predicted to reach over $824 billion by 2030. Organizations investing in this technology now are the ones that will win the innovation race. However, the metaverse can only reach its full potential if organizations themselves work together to create an open, safe, environmentally sustainable, and all-encompassing environment that encourages innovation and translates into value for all involved. This will require huge technological investments and adaptations, sophisticated content creation tools, and large servers to maintain system stability and create a truly immersive experience.

This entry is adapted from the peer-reviewed paper 10.3390/app13095682

References

  1. Kim, J. Advertising in the metaverse: Research agenda. J. Interact. Advert. 2021, 21, 141–144.
  2. Song, S.W.; Chung, D.H. Explication, and rational conceptualization of metaverse. Informatiz. Policy 2021, 28, 3–22.
  3. Stephenson, N. Snow crash: Un romanzo. In Snow Crash; Spectra: New York, NY, USA, 1992; p. 440. ISBN 0-553-08853-X.
  4. Sra, M.; Danry, V.; Maes, P. Situated VR: Toward a Congruent Hybrid Reality Without Experiential Artifacts. IEEE Comput. Graph. Appl. 2022, 42, 7–18.
  5. Dear, K. Beyond the ‘geo’in geopolitics: The digital transformation of power. RUSI J. 2022, 166, 20–31.
  6. Ahn, S.J.; Kim, J.; Kim, J. The bifold triadic relationships framework: A theoretical primer for advertising research in the metaverse. J. Advert. 2022, 51, 592–607.
  7. Kemec, A. From reality to virtuality: Re discussing cities with the concept of the metaverse. Int. J. Manag. Account. 2022, 4, 12–20.
  8. Cammack, R.G. Location based service use: A metaverse investigation. J. Locat. Based Serv. 2010, 4, 53–65.
  9. Kemp, J.; Livingstone, D. Putting a Second Life “metaverse” skin on learning management systems. In Proceedings of the Second Life education Workshop at the Second Life Community Convention, San Francisco, CA, USA, 20 August 2006; Volume 20.
  10. Ludlow, P.; Wallace, M. The Second Life Herald: The Virtual Tabloid that Witnessed the Dawn of the Metaverse; MIT Press: Cambridge, MA, USA, 2007.
  11. Fernandez, P. Facebook, Meta, the metaverse and libraries. Libr. Hi-Tech. News 2022, 39, 1–5.
  12. Allam, Z.; Sharifi, A.; Bibri, S.E.; Jones, D.S.; Krogstie, J. The metaverse as a virtual form of smart cities: Opportunities and challenges for environmental, economic, and social sustainability in urban futures. Smart Cities 2022, 5, 771–801.
  13. Dwivedi, Y.K.; Hughes, L.; Baabdullah, A.M.; Ribeiro Navarrete, S.; Giannakis, M.; Al Debei, M.M.; Wamba, S.F. Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int. J. Inf. Manag. 2022, 66, 102542.
  14. Nevelsteen, K.J. Virtual world, defined from a technological perspective and applied to video games, mixed reality, and the Metaverse. Comput. Animat. Virtual Worlds 2018, 29, e1752.
  15. Mourtzis, D.; Panopoulos, N.; Angelopoulos, J.; Wang, B.; Wang, L. Human centric platforms for personalized value creation in metaverse. J. Manuf. Syst. 2022, 65, 653–659.
  16. Lee, L.H.; Braud, T.; Zhou, P.; Wang, L.; Xu, D.; Lin, Z.; Hui, P. All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda. arXiv 2021, arXiv:2110.05352.
  17. Hwang, G.J.; Chien, S.Y. Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective. Comput. Educ. Artif. Intell. 2022, 3, 100082.
  18. Jayawardena, N.S.; Thaichon, P.; Quach, S.; Razzaq, A.; Behl, A. The persuasion effects of virtual reality (VR) and augmented reality (AR) video advertisements: A conceptual review. J. Bus. Res. 2023, 160, 113739.
  19. Hannan, A.; Hussain, A.; Tab, M.A. Towards a more general theory of blockchain technology adoption–Investigating the role of mass media, social media and technophilia. Technol. Soc. 2023, 73, 102225.
  20. Song, Y.; Chen, Y.; Yu, Z.; Huang, S.; Shen, C. CloudPSS: A high performance power system simulator based on cloud computing. Energy Rep. 2020, 6, 1611–1618.
  21. McKinnel, D.R.; Dargahi, T.; Dehghantanha, A.; Choo, K.K.; Robinson, A. A systematic literature review and meta analysis on artificial intelligence in penetration testing and vulnerability assessment. Comput. Electr. Eng. 2019, 75, 175–188.
  22. Wu, T.C.; Ho, C.T.B. A scoping review of metaverse in emergency medicine. Australas. Emerg. Care 2022, 26, 75–83.
  23. Yang, D.; Zhou, J.; Song, Y.; Sun, M.; Bai, C. Metaverse in medicine. Clin. eHealth 2022, 5, 39–43.
  24. Hou, Y.; Yu, Z. A Bibliometric Analysis of Synchronous Computer-Mediated Communication in Language Learning Using VOSviewer and CitNetExplorer. Educ. Sci. 2023, 13, 125.
  25. Jia, C.; Mustafa, H. A Bibliometric Analysis and Review of Nudge Research Using VOSviewer. Behav. Sci. 2023, 13, 19.
  26. Gu, J.; Wang, J.; Guo, X.; Liu, G.; Qin, S.; Bi, Z. A metaverse-based teaching building evacuation training system with deep reinforcement learning. IEEE Trans. Syst. Man. Cybern. Syst. 2023, 53, 2209–2219.
  27. Hare, R.; Tang, Y. Hierarchical deep reinforcement learning with experience sharing for metaverse in education. IEEE Trans. Syst. Man. Cybern. Syst. 2023, 53, 2047–2055.
  28. Zheng, W.; Yan, L.; Zhang, W.; Ouyang, L.; Wen, D. D→K→I: Data-knowledge-driven group intelligence framework for smart service in education metaverse. IEEE Trans. Syst. Man. Cybern. Syst. 2023, 53, 2056–2061.
  29. Shu, X.; Gu, X. An empirical study of A smart education model enabled by the edu-metaverse to enhance better learning outcomes for students. Systems 2023, 11, 75.
  30. Tran, N.C.; Wang, J.; Vu, T.H.; Tai, T.; Wang, J. Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse. J. Supercomput. 2023, 79, 2767–2782.
  31. Guo, B. Highlighting effects of flipped learning on mental health through metaverse: Moderating impact of e-learning and cyber resilience. Am. J. Health Behav. 2022, 46, 683–694.
  32. Gattullo, M.; Laviola, E.; Evangelista, A.; Fiorentino, M.; Uva, A.E. Towards the evaluation of augmented reality in the metaverse: Information presentation modes. Appl. Sci. 2022, 12, 12600.
  33. Sunardi, R.A.; Abdurachman, E.; Trisetyarso, A.; Zarlis, M. Acceptance of augmented reality in video conference based learning during COVID-19 pandemic in higher education. Bull. Electr. Eng. Inform. 2022, 11, 3598–3608.
  34. Park, J.; Lee, K.; Chung, D.R. Public interest in the digital transformation accelerated by the COVID-19 pandemic and perception of its future impact. Korean J. Intern. Med. 2022, 37, 1223–1233.
  35. Dou, W.; Tian, Y.; Ye, G.; Zhu, J. Antenna artificial intelligence: The relentless pursuit of intelligent antenna design . IEEE Antennas Propag. Mag. 2022, 64, 128–130.
  36. Yong, Y.J.; Lee, J.H.; Kim, Y.S. A study on the possibility of a change in culture and arts education curriculum by shooting “METACLASSROOM” in the COIVD19 pandemic era. Cypriot J. Edu Sci. 2022, 17, 1603–1621.
  37. Suh, W.; Ahn, S. Utilizing the metaverse for learner-centered constructivist education in the post-pandemic era: An analysis of elementary school students. J. Intell. 2022, 10, 17.
  38. Ng, D.T.K. What is the metaverse? definitions, technologies and the community of inquiry. Australas. J. Educ. Technol. 2022, 38, 190–205.
  39. Alsaleh, S.; Tepljakov, A.; Kose, A.; Belikov, J.; Petlenkov, E. ReImagine lab: Bridging the gap between hands-on, virtual and remote control engineering laboratories using digital twins and extended reality. IEEE Access. 2022, 10, 89924–89943.
  40. Lee, S.H.; Lee, H.; Kim, J.H. Enhancing the prediction of user satisfaction with metaverse service through machine learning. Comput. Mater. Continua 2022, 72, 4983–4997.
  41. Akour, I.A.; Al-Maroof, R.S.; Alfaisal, R.; Salloum, S.A. A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach. Comput. Educ. 2022, 3, 201.
  42. Siyaev, A.; Jo, G. Towards aircraft maintenance metaverse using speech interactions with virtual objects in mixed reality. Sensors 2021, 21, 2066.
  43. Siyaev, A.; Jo, G. Neuro-symbolic speech understanding in aircraft maintenance metaverse. IEEE Access. 2021, 9, 154484–154499.
  44. Belei, N.; Noteborn, G.; De Ruyter, K. It’s a brand new world: Teaching brand management in virtual environments. J. Brand. Manag. 2011, 18, 611–623.
  45. Bhattacharya, P.; Saraswat, D.; Savaliya, D.; Sanghavi, S.; Verma, A.; Sakariya, V.; Tanwar, S.; Sharma, R.; Raboaca, M.S.; Manea, D.L. Towards future internet: The metaverse perspective for diverse industrial applications. Mathematics 2023, 11, 941.
  46. Ricci, M.; Scarcelli, A.; Fiorentino, M. Designing for the metaverse: A multidisciplinary laboratory in the industrial design program. Future Internet 2023, 15, 69.
  47. Kliestik, T.; Nagy, M.; Valaskova, K. Global value chains and industry 4.0 in the context of lean workplaces for enhancing company performance and its comprehension via the digital readiness and expertise of workforce in the V4 nations. Mathematics 2023, 11, 601.
  48. Tlili, A.; Huang, R.K. Metaverse for climbing the ladder toward ‘Industry 5.0’ and ‘Society 5.0’? Serv. Ind. J. 2023, 43, 260–287.
  49. Wu, C.; Liu, C. Educational applications of non-fungible token (NFT). Sustainability 2023, 15, 7.
  50. Penaherrera-Pulla, O.S.; Baena, C.; Fortes, S.; Baena, E.; Barco, R. KQI assessment of VR services: A case study on 360-video over 4G and 5G. IEEE Trans. Netw. Serv. Manag. 2022, 19, 5366–5382.
  51. Crolla, K.; Goepel, G. Entering hyper-reality: “Resonance-in-sight, ” a mixed-reality art installation. Front. Virtual Real. 2022, 3, 24.
  52. Pregowska, A.; Osial, M.; Dolega-Dolegowski, D.; Kolecki, R.; Proniewska, K. Information and communication technologies combined with mixed reality as supporting tools in medical education. Electronics 2022, 11, 3778.
  53. Hyun, J.; Choi, H.; Kim, J. Deriving improvement plans through metaverse technology and implications. Int. J. Intel. Syst. Appl. Eng. 2022, 10, 197–204.
  54. Alpala, L.O.; Quiroga-Parra, D.J.; Torres, J.C.; Peluffo-Ordóñez, D.H. Smart factory using virtual reality and online multi-user: Towards a metaverse for experimental frameworks. Appl. Sci. 2022, 12, 6258.
  55. Lee, H.; Woo, D.; Yu, S. Virtual reality metaverse system supplementing remote education methods: Based on aircraft maintenance simulation. Appl. Sci. 2022, 12, 2667.
  56. Ryu, J.; Son, S.; Lee, J.; Park, Y.; Park, Y. Design of secure mutual authentication scheme for metaverse environments using blockchain. IEEE Access 2022, 10, 98944–98958.
  57. Estudante, A.; Dietrich, N. Using augmented reality to stimulate students and diffuse escape game activities to larger audiences. J. Chem. Educ. 2020, 97, 1368–1374.
  58. Díaz, J.E.M. Virtual world as a complement to hybrid and mobile learning. Int. J. Emerg. Technol. Learn. 2020, 15, 267–274.
  59. AbuKhousa, E.; El-Tahawy, M.S.; Atif, Y. Envisioning architecture of metaverse intensive learning experience (MiLEx): Career readiness in the 21st century and collective intelligence development scenario. Future Internet 2023, 15, 53.
  60. Hwang, S.; Koo, G. Art marketing in the metaverse world: Evidence from south korea. Cogent Soc. Sci. 2023, 9, 5429.
  61. Yang, S.; Kang, M. Efficacy testing of a multi-access metaverse-based early onset schizophrenia nursing simulation program: A quasi-experimental study. Int. J. Environ. Res. Public. Health 2023, 20, 449.
  62. Wang, G.; Shin, C. Influencing factors of usage intention of metaverse education application platform: Empirical evidence based on PPM and TAM models. Sustainability 2022, 14, 17037.
  63. Sánchez-López, I.; Roig-Vila, R.; Pérez-Rodríguez, A. Metaverse and education: The pioneering case of minecraft in immersive digital learning. Prof. Inf. 2022, 31, 3145.
  64. López-Belmonte, J.; Pozo-Sánchez, S.; Lampropoulos, G.; Moreno-Guerrero, A. Design and validation of a questionnaire for the evaluation of educational experiences in the metaverse in spanish students (METAEDU). Heliyon 2022, 8, e11364.
  65. Lo, S.; Tsai, H. Design of 3D virtual reality in the metaverse for environmental conservation education based on cognitive theory. Sensors 2022, 22, 8329.
  66. Cortés Rodríguez, F.; Dal Peraro, M.; Abriata, L.A. Online tools to easily build virtual molecular models for display in augmented and virtual reality on the web. J. Mol. Graph. Model. 2022, 114, 442.
  67. Dahan, N.A.; Al-Razgan, M.; Al-Laith, A.; Alsoufi, M.A.; Al-Asaly, M.S.; Alfakih, T. Metaverse framework: A case study on E-learning environment (ELEM). Electronics 2022, 11, 1616.
  68. Jovanović, A.; Milosavljević, A. VoRtex metaverse platform for gamified collaborative learning. Electronics 2022, 11, 317.
  69. Kang, D.; Choi, H.; Nam, S. Learning cultural spaces: A collaborative creation of a virtual art museum using roblox. Int. J. Emerg. Technol. Learn. 2022, 17, 232–245.
  70. Lee, J. A study on the intention and experience of using the metaverse. JAHR 2022, 13, 177–192.
  71. Teng, Z.; Cai, Y.; Gao, Y.; Zhang, X.; Li, X. Factors affecting learners’ adoption of an educational metaverse platform: An empirical study based on an extended UTAUT model. Mob. Inf. Sys 2022, 2022.
  72. Afshar, S.V.; Eshaghi, S.; Kim, I. Pattern analysis of virtual landscape within educational games. J. Digital Landsc. Arch. 2022, 2022, 435–442.
  73. Manna, M. Teachers as augmented reality designers: A study on italian as a foreign language teacher perceptions. Int. J. Mob. Blended Learn. 2023, 15.
  74. Jiao, B.; Li, M. Metaverse inspired VR visualization model of italian design education. Comput.-Aided Des. Appl. 2023, 20 (Suppl. S7), 164–174.
  75. Battal, A.; Taşdelen, A. The use of virtual worlds in the field of education: A bibliometric study. Particip. Educ. Res. 2023, 10, 408–423.
  76. Iwanaga, J.; Muo, E.C.; Tabira, Y.; Watanabe, K.; Tubbs, S.J.; D’Antoni, A.V.; Rajaram-Gilkes, M.; Loukas, M.; Khalil, M.K.; Tubbs, R.S. Who really needs a metaverse in anatomy education? A review with preliminary survey results. Clin. Anat. 2023, 36, 77–82.
  77. Sghaier, S.; Elfakki, A.O.; Alotaibi, A.A. Development of an intelligent system based on metaverse learning for students with disabilities. Front. Robot. AI 2022, 9, 6921.
  78. Wang, X.; Zhu, Y.; Zhang, Y. An empirical study of college students’ reading engagement on academic achievement. Front. Psychol. 2022, 13, 5754.
  79. Kshetri, N.; Rojas-Torres, D.; Grambo, M. The metaverse and higher education institutions. IT Prof. 2022, 24, 69–73.
  80. Sofianidis, A. Why do students prefer augmented reality: A mixed-method study on preschool teacher students’ perceptions on self-assessment AR quizzes in science education. Educ. Sci. 2022, 12, 329.
  81. Lee, H.J.; Hwang, Y. Technology-enhanced education through VR-making and metaverse-linking to foster teacher readiness and sustainable learning. Sustainability 2022, 14, 4786.
  82. Guo, H.; Gao, W. Metaverse-powered experiential situational english-teaching design: An emotion-based analysis method. Front. Psychol. 2022, 13, 9159.
  83. Bhavana, S.; Vijayalakshmi, V. AI-based metaverse technologies advancement impact on higher education learners. WSEAS Trans. Syst. 2022, 21, 178–184.
  84. Ge, J. Multiple influences of intelligent technology on network behavior of college students in the metaverse age. J. Environ. Public. Health 2022, 2022, 1–7.
  85. Chang, H.; Chung, C.; Cheng, Y.; Lou, S. A study on the development and learning effectiveness evaluation of problem-based learning (PBL) virtual reality course based on intelligence network and situational learning. J. Netw. Intell. 2022, 7, 1–20.
  86. Nurhidayah, N.N.; Halim, N.; Basri, M. Analyzing Student’s learning outcome using systemic approach. Asian EFL J. 2020, 27, 230–247.
  87. Díaz, J.E.M.; Saldaña, C.A.M.; Avila, C.A.R. Virtual world as a resource for hybrid education. Int. J. Emerg. Technol. Learn. 2020, 15, 94–109.
  88. López-Ojeda, W.; Hurley, R.A. The medical metaverse, part 1: Introduction, definitions, and new horizons for neuropsychiatry. J. Neuropsychiatry Clin. Neurosci. 2023, 35, A4-3.
  89. Li, K.; Cui, Y.; Li, W.; Lv, T.; Yuan, X.; Li, S.; Ni, W.; Simsek, M.; Dressler, F. When internet of things meets metaverse: Convergence of physical and cyber worlds. IEEE Internet Things J. 2023, 10, 4148–4173.
  90. Hwang, Y. When makers meet the metaverse: Effects of creating NFT metaverse exhibition in maker education. Comput. Educ. 2023, 194, 104693.
  91. Koohsari, M.J.; McCormack, G.R.; Nakaya, T.; Yasunaga, A.; Fuller, D.; Nagai, Y.; Oka, K. The metaverse, the built environment, and public health: Opportunities and uncertainties. J. Med. Internet Res. 2023, 25, e43549.
  92. Yang, D.; Zhou, J.; Chen, R.; Song, Y.; Song, Z.; Zhang, X.; Wang, Q.; Wang, K.; Zhou, C.; Sun, J.; et al. Expert consensus on the metaverse in medicine. Clin. eHealth 2022, 5, 1–9.
  93. Mahmudiono, T.; Rachmah, Q.; Indriani, D.; Permatasari, E.A.; Hera, N.A.; Chen, H. Food and beverage consumption habits through the perception of health belief model (grab food or go food) in surabaya and pasuruan. Nutrients 2022, 14, 4482.
  94. Ramesh, P.; Joshua, T.; Ray, P.; Devadas, A.; Raj, P.; Ramesh, S.; Ramesh, M.; Rajasekaran, R. Holographic elysium of a 4D ophthalmic anatomical and pathological metaverse with extended reality/mixed reality. Indian. J. Ophthalmol. 2022, 70, 3116–3121.
  95. Hutson, J. Social virtual reality: Neurodivergence and inclusivity in the metaverse. Societies 2022, 12, 102.
  96. Lee, J.; Lee, T.S.; Lee, S.; Jang, J.; Yoo, S.; Choi, Y.; Park, Y.R. Development and application of a metaverse-based social skills training program for children with autism spectrum disorder to improve social interaction: Protocol for a randomized controlled trial. JMIR Res. Prot. 2022, 11, e35960.
  97. Zhao, J.; Lu, Y.; Zhou, F.; Mao, R.; Fei, F. Systematic bibliometric analysis of research hotspots and trends on the application of virtual reality in nursing. Front. Public. Health 2022, 10, 6715.
  98. Tan, T.F.; Li, Y.; Lim, J.S.; Gunasekeran, D.V.; Teo, Z.L.; Ng, W.Y.; Ting, D.S.W. Metaverse and virtual health care in ophthalmology: Opportunities and challenges. Asia-Pacific J. Ophthalmol. 2022, 11, 237–246.
  99. Gupta, R.; He, J.; Ranjan, R.; Gan, W.; Klein, F.; Schneiderwind, C.; Neidhardt, A.; Brandenburg, K.; Valimaki, V. Augmented/Mixed reality audio for hearables: Sensing, control, and rendering. IEEE Signal Process. Mag. 2022, 39, 63–89.
  100. Park, S.; Kim, S. Identifying world types to deliver gameful experiences for sustainable learning in the metaverse. Sustainability 2022, 14, 1361.
  101. Bansal, G.; Rajgopal, K.; Chamola, V.; Xiong, Z.; Niyato, D. Healthcare in metaverse: A survey on current metaverse applications in healthcare. IEEE Access 2022, 10, 119914–119946.
  102. Zhou, B. Building a smart education ecosystem from a metaverse perspective. Mob. Inf. Syst. 2022, 2022, 1938329.
  103. Alawadhi, M.; Alhumaid, K.; Almarzooqi, S.; Aljasmi, S.; Aburayya, A.; Salloum, S.A.; Almesmari, W. Factors affecting medical students’ acceptance of the metaverse system in medical training in the united arab emirates. South East Euro J. Publ. Health 2022, 19, 205.
  104. Almarzouqi, A.; Aburayya, A.; Salloum, S.A. Prediction of user’s intention to use metaverse system in medical education: A hybrid SEM-ML learning approach. IEEE Access 2022, 10, 43421–43434.
  105. Masferrer, J.Á.R.; Sánchez, F.E.; Hernández, D.F. Experiences complementing classroom teaching with distance seminars in metaverses and videos. J. Cases Inf. Technol. 2014, 16, 1–12.
  106. Brennen, B.; dela Cerna, E. Journalism in second life. J. Stud. 2010, 11, 546–554.
  107. Au, W.J. Taking new world notes: An embedded journalist’s rough guide to reporting from inside the internet’s next evolution. First Monday 2005, 5, 1562.
  108. Sestino, A.; D’Angelo, A. My doctor is an avatar! The effect of anthropomorphism and emotional receptivity on individuals’ intention to use digital-based healthcare services. Technol. Forecast. Soc. Chang. 2023, 191, 122505.
  109. Liu, W.; Fu, Y.; Liu, Q. Metadata as a Methodological Commons: From Aboutness Description to Cognitive Modeling. Data Intell. 2023, 5, 289–302.
  110. Buhalis, D.; Leung, D.; Lin, M. Metaverse as a disruptive technology revolutionising tourism management and marketing. Tour. Manag. 2023, 97, 104724.
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