The Metaverse as one of the foundations of future education

Book Chapter
DOI: 10.31483/r-112497
Open Access
Monograph «Theoretical and practical aspects of pedagogy and psychology»
Creative commons logo
Published in:
Monograph «Theoretical and practical aspects of pedagogy and psychology»
Authors:
Sergei I. Rodzin 1 , Viktoriia V. Bova 1
Work direction:
Глава 1
Pages:
15-27
Received: 3 July 2024

Rating:
Article accesses:
641
Published in:
РИНЦ
1 Southern Federal University
For citation:
Rodzin S. I., Bova V. V., Koniushenko S. M., Pechalova L. V., Pechalov A. K., Belousova L. V., Glotova G. A., Glotova G. A., Glotova G. A., Sudakov D. V., Sudakov O. V., Gordeeva O. I., Sych G. V., Liakhova E. G., Pimenova L. G., Tsaregorodtseva O. S., Sapegin V. A., Koreneva A. V., Kochanovskaia D. K., Podgornova N. A., & Kazakevich A. V. (2024). Theoretical and practical aspects of pedagogy and psychology, 184. Чебоксары: PH "Sreda". https://doi.org/10.31483/a-10617

Abstract

The metaverse is a collective common space for interaction created as a result of the convergence of physical reality and virtual space, including augmented reality and the Internet. The potential of the metaverse in the field of education is of growing interest, and many researchers are exploring ways to improve the effectiveness of student learning, while reducing time and labor costs to ensure the educational process. However, the systemic and technological aspects of providing education through the metaverse remain insufficiently developed. To fill this gap, the paper presents the concept and architecture of the metaverse, combining artificial intelligence technologies, Web3 and blockchain technology to create a learning environment. The existing approaches to the creation of intelligent systems and gamification of learning, as well as some projects for the creation of a metaverse, are analyzed. The purpose of the proposed approach to creating a metaverse is to design a virtual learning space that begins with reflecting the physical world, storing user learning trajectories, knowledge trees in the blockchain, and providing a secure and open community. The main stages of the metaverse development are presented, including cloning, expansion and integration of physical and virtual components, as well as blockchain technologies. It is noted that by now the necessary prerequisites have developed in Russia for the realization of the metaverse as one of the foundations of future education.

References

  1. 1. Liang J. [et al.] Student modeling and analysis in adaptive instructional systems. IEEE Access. 2022. Vol. 10. P. 59359–72. DOI 10.1109/access.2022.3178744. EDN RUHVEB
  2. 2. Hare R., Tang Y. Player modelling and adaptation methods within adaptive serious games. Int. Conf. on Cyber-Physical Social Intelligence (ICCSI). 2021. P. 1–6.
  3. 3. Великосельский О.А. Возможности дистанционного обучения с использованием метавселенных / О.А. Великосельский // Непрерывное образование: проблемы, решения, перспективы. – СПб.: ЛГУ им А.С. Пушкина, 2022. – С. 97–101. EDN EZIZXA
  4. 4. Cui L. [et al.] MetaEdu: a new framework for future education. Discov. Artif. Intell. 2023. Vol. 3 (10).
  5. 5. Hare R., Tang Y. Hierarchical deep reinforcement learning with experience sharing for metaverse in education. IEEE Trans. Syst. Man. Cybern. Syst. 2022. https://doi.org/10.1109/TSMC.2022.3227919. EDN VWUTIO
  6. 6. Болл М. Метавселенная. Как она меняет наш мир / М. Болл. – М.: Альпина Паблишер, 2023. – 362 с.
  7. 7. Gobert J., Sao P., Li H., Lott C. Intelligent tutoring systems: a history and an example of an it’s for science. Int. encyclopedia of education. Oxford: Elsevier, 2023. Р. 460–70.
  8. 8. Georgila K. [et al.] Using reinforcement learning to optimize the policies of an intelligent tutoring system for interpersonal skills training. Proc. 18th Int. Conf. on Autonomous Agents and MultiAgent Systems. 2019. Р. 737–745.
  9. 9. Кравченко Ю.А. Интеллектуальные системы: эволюция моделей и методов приобретения, управления и передачи знаний / Ю.А. Кравченко, В.В. Курейчик, С.И. Родзин. – Чебоксары: Среда, 2023. – 192 с. DOI 10.31483/a-10557. EDN NBZTAX
  10. 10. Hooshyar D. [et al.] Development and evaluation of a game-based bayesian intelligent tutoring system for teaching programming. Jour. Educ. Comput. Res. 2018. Vol. 56 (6). Р. 775–801.
  11. 11. Papadimitriou S., Chrysafiadi K., Virvou M. Fuzzeg: fuzzy logic for adaptive scenarios in an educational adventure game. Multimed. Tools Appl. 2019. Vol. 78 (22). Р. 32023–53.
  12. 12. Chui K.T. [et al.] Predicting students’ performance with school and family tutoring using generative adversarial network-based deep support vector machine. IEEE Access. 2020. Vol. 8. Р. 86745–52.
  13. 13. Hershcovits H., Vilenchik D., Gal K. Modeling engagement in self-directed learning systems using principal component analysis. IEEE Trans. Learn Technol. 2020. Vol. 13 (1). Р. 164–71.
  14. 14. Bunic D., Jugo I., Kovacic B. Analysis of clustering algorithms for group discovery in a web-based intelligent tutoring system. Int. Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). 2019. Р. 759–765.
  15. 15. Fleming T. [et al.] 10.05-Serious games and gamification in clinical psychology // Comprehensive clinical psychology. Oxford: Elsevier. 2022. P. 77–90.
  16. 16. Родзина О.Н. Проблемно-ориентированные алгоритмы мягких вычислений / О.Н. Родзина. – Чебоксары: Среда, 2020. – 96 с.
  17. 17. Gu J. [et al.] A metaverse-based teaching building evacuation training system with deep reinforcement learning. IEEE Trans. Syst. Man. Cybern: Syst. 2023. https://doi.org/10.1109/TSMC.2022.3231299. EDN DBPFNP
  18. 18. Родзин С.И. Теория принятия решений / С.И. Родзин. – Таганрог: Изд-во ТТИ ЮФУ, 2010. – 336 с. EDN YERVWL
  19. 19. Родзин С.И. Машинное обучение: метаэвристики дифференциально-векторного движения / С.И. Родзин, О.Н. Родзина. – Чебоксары: Среда, 2024. – 140 с. DOI 10.31483/a-10610. EDN UIKPSL
  20. 20. Tlili A. [et al.] Is metaverse in education a blessing or a curse: a combined content and bibliometric analysis. Smart Learn. Environ. 2022. Vol. 9(1). P. 1–31. DOI 10.1186/s40561-022-00205-x. EDN EBGRIO
  21. 21. Wang M., Yu H., Bell Z., Chu X. Constructing an edu-metaverse ecosystem: a new and innovative framework. IEEE Trans. Learn. Technol. 2022. Vol. 15 (6). P. 685–96.
  22. 22. Shen T. [et al.] Virtual classroom: a lecturer-centered consumer-grade immersive teaching system in cyber-physical-social space. IEEE Trans. Syst. Man. Cybern. Syst. 2022. https://doi.org/10.1109/TSMC.2022.3228270. EDN YZYRKI
  23. 23. Jeon J.H. A study on education utilizing metaverse for effective communication in a convergence subject. Int. Jour. Internet Broadcast Commun. 2021. Vol. 13 (4). P. 129–34.

Comments(0)

When adding a comment stipulate:
  • the relevance of the published material;
  • general estimation (originality and relevance of the topic, completeness, depth, comprehensiveness of topic disclosure, consistency, coherence, evidence, structural ordering, nature and the accuracy of the examples, illustrative material, the credibility of the conclusions;
  • disadvantages, shortcomings;
  • questions and wishes to author.