nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

ChatGPT Implementation in the Metaverse: Towards Another Level of Immersiveness in Education

verfasst von : Michael Agyemang Adarkwah, Ahmed Tlili, Boulus Shehata, Ronghuai Huang, Prince Yaw Owusu Amoako, Huanhuan Wang

Erschienen in: Applications of Generative AI

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Novel artificial intelligence (AI) technologies have the capability to reinvent education and enhance the immersive experience of learners. The education industry is continually embracing advanced AI tools to harness their functionalities for optimal teaching and learning. When the metaverse was released, its interactive features were leveraged to promote an engaging learning experience for students. Several applications of the metaverse in schools indicate that metaverse-based education has the potential to provide situated and authentic learning which is highly prized in this twenty-first century. ChatGPT is one such AI tool which is touted to revolutionize education. ChatGPT 3.5 and 4 possess powerful functionalities that have been underscored to provide a fully immersive experience for learners. The quick response rate, level of accuracy, personality, and other abilities of ChatGPT makes it an enabler of metaverse-based education to create a higher level of immersiveness. In this review article, we outline the strengths and weaknesses of both the metaverse and ChatGPT and how ChatGPT can be used to overcome the shortcomings of metaverse-based education. Considerations for implementing ChatGPT in the metaverse are also discussed. It is proposed that educators should integrate ChatGPT into metaverse educational platforms to situate learners in realistic, problem-solving, and creative ways of thinking.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Generating 3D Reconstructions Using Generative Models

Nächstes Kapitel Generating Artistic Portrait Drawings from Images

Nur mit Berechtigung zugänglich

Adarkwah, M. A., Amponsah, S., Van Wyk, M. M., Huang, R., Tlili, A., Shehata, B., Metwally, A. H. S., & Wang, H. (2023a). Awareness and acceptance of ChatGPT as a generative conversational AI for transforming education by Ghanaian academics: A two-phase study. Journal of Applied Learning and Teaching, 6(2), Article 2. https://doi.org/10.37074/jalt.2023.6.2.26

Adarkwah, M. A., Ying, C., Mustafa, M. Y., & Huang, R. (2023b). Prediction of learner information-seeking behavior and classroom engagement in the advent of ChatGPT. In C. Anutariya, D. Liu, Kinshuk, A. Tlili, J. Yang, & M. Chang (Eds.), Smart Learning for A Sustainable Society (pp. 117–126). Springer Nature. https://doi.org/10.1007/978-981-99-5961-7_13

Akour, I. A., Al-Maroof, R. S., Alfaisal, R., & Salloum, S. A. (2022). A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach. Computers and Education: Artificial Intelligence, 3, 100052. https://doi.org/10.1016/j.caeai.2022.100052CrossRef

Almalki, M., & Azeez, F. (2020). Health Chatbots for Fighting COVID-19: A Scoping Review. Acta Informatica Medica: AIM: Journal of the Society for Medical Informatics of Bosnia & Herzegovina: Casopis Drustva Za Medicinsku Informatiku BiH, 28(4), 241–247. https://doi.org/10.5455/aim.2020.28.241-247CrossRef

Antaki, F., Touma, S., Milad, D., El-Khoury, J., & Duval, R. (2023). Evaluating the performance of ChatGPT in ophthalmology: An analysis of its successes and shortcomings (p. 2023.01.22.23284882). medRxiv https://doi.org/10.1101/2023.01.22.23284882

Bojic, L. (2022). Metaverse through the prism of power and addiction: What will happen when the virtual world becomes more attractive than reality? European Journal of Futures Research, 10(1), 22. https://doi.org/10.1186/s40309-022-00208-4CrossRef

Brandtzaeg, P. B., Skjuve, M., & Følstad, A. (2022). My AI friend: How users of a social chatbot understand their human–AI friendship. Human Communication Research, 48(3), 404–429. https://doi.org/10.1093/hcr/hqac008CrossRef

Caldarini, G., Jaf, S., & McGarry, K. (2022). A literature survey of recent advances in chatbots. Information, 13(1), Article 1. https://doi.org/10.3390/info13010041

Cheng, R., Wu, N., Chen, S., & Han, B. (2022). Will metaverse be NextG internet? Vision, hype, and reality. IEEE Network, 36(5), 197–204. https://doi.org/10.1109/MNET.117.2200055CrossRef

10.

De Cicco, R., Silva, S. C., & Alparone, F. R. (2020). Millennials’ attitude toward chatbots: An experimental study in a social relationship perspective. International Journal of Retail & Distribution Management, 48(11), 1213–1233. https://doi.org/10.1108/IJRDM-12-2019-0406CrossRef

11.

Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1–12. https://doi.org/10.1080/14703297.2023.2190148

12.

Cox, C., & Tzoc, E. (2023). ChatGPT: Implications for academic libraries. College & Research Libraries News. https://doi.org/10.5860/crln.84.3.99

13.

Dowling, M., & Lucey, B. (2023). ChatGPT for (finance) research: The Bananarama conjecture. Finance Research Letters, 103662. https://doi.org/10.1016/j.frl.2023.103662

14.

Durall, E., & Kapros, E. (2020). Co-design for a competency self-assessment chatbot and survey in science education. In P. Zaphiris & A. Ioannou (Eds.), Learning and collaboration technologies. Human and technology ecosystems (pp. 13–24). Springer International Publishing. https://doi.org/10.1007/978-3-030-50506-6_2

15.

Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., … Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. https://doi.org/10.1016/j.ijinfomgt.2022.102542

16.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

17.

Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J. (Grace), Balakrishnan, J., Barta, S., Belk, R., Buhalis, D., Dutot, V., Felix, R., Filieri, R., Flavián, C., Gustafsson, A., Hinsch, C., Hollensen, S., Jain, V., Kim, J., Krishen, A. S., … Wirtz, J. (2023). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology & Marketing, 40(4), 750–776. https://doi.org/10.1002/mar.21767

18.

Europol. (2023). ChatGPT (The impact of large language models on law enforcement). https://www.europol.europa.eu/cms/sites/default/files/documents/Tech%20Watch%20Flash%20-%20The%20Impact%20of%20Large%20Language%20Models%20on%20Law%20Enforcement.pdf

19.

Garavand, A., & Aslani, N. (2022). Metaverse phenomenon and its impact on health: A scoping review. Informatics in Medicine Unlocked, 32, 101029. https://doi.org/10.1016/j.imu.2022.101029CrossRef

20.

Godwin-Jones, R. (2023). Emerging spaces for language learning: AI bots, ambient intelligence, and the metaverse. Language Learning & Technology, 27(2). https://www.lltjournal.org/item/10125-73501/

21.

Goh, Y. C., Cai, X. Q., Theseira, W., Ko, G., & Khor, K. A. (2020). Evaluating human versus machine learning performance in classifying research abstracts. Scientometrics, 125(2), 1197–1212. https://doi.org/10.1007/s11192-020-03614-2CrossRef

22.

Guo, H., & Gao, W. (2022). Metaverse-powered experiential situational English-teaching design: An emotion-based analysis method. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.859159

23.

Gursoy, D., Malodia, S., & Dhir, A. (2022). The metaverse in the hospitality and tourism industry: An overview of current trends and future research directions. Journal of Hospitality Marketing & Management, 31(5), 527–534. https://doi.org/10.1080/19368623.2022.2072504CrossRef

24.

Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A human-machine communication research agenda. New Media & Society, 22(1), 70–86. https://doi.org/10.1177/1461444819858691CrossRef

25.

Haesevoets, T., De Cremer, D., Dierckx, K., & Van Hiel, A. (2021). Human-machine collaboration in managerial decision making. Computers in Human Behavior, 119, 106730. https://doi.org/10.1016/j.chb.2021.106730CrossRef

26.

Hoffman, M., Kahn, L. B., & Li, D. (2018). Discretion in hiring. The Quarterly Journal of Economics, 133(2), 765–800. https://doi.org/10.1093/qje/qjx042CrossRef

27.

Hwang, G.-J., & Chien, S.-Y. (2022). Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective. Computers and Education: Artificial Intelligence, 3, 100082. https://doi.org/10.1016/j.caeai.2022.100082CrossRef

28.

Io, H. N., & Lee, C. B. (2017). Chatbots and conversational agents: A bibliometric analysis. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 215–219). https://doi.org/10.1109/IEEM.2017.8289883

29.

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. EdArXiv https://doi.org/10.35542/osf.io/5er8f

30.

Kirkpatrick, K. (2022). Applying the metaverse. Communications of the ACM, 65(11), 16–18. https://doi.org/10.1145/3565470CrossRef

31.

Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., Wach, K., & Ziemba, E. (2023). Generative artificial intelligence as a new context for management theories: Analysis of ChatGPT. Central European Management Journal (ahead-of-print). https://doi.org/10.1108/CEMJ-02-2023-0091

32.

Kumar, J. A. (2021). Educational chatbots for project-based learning: Investigating learning outcomes for a team-based design course. International Journal of Educational Technology in Higher Education, 18(1), 65. https://doi.org/10.1186/s41239-021-00302-wMathSciNetCrossRef

33.

Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., Leon, L. D., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., & Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health, 2(2), e0000198. https://doi.org/10.1371/journal.pdig.0000198CrossRef

34.

Kye, B., Han, N., Kim, E., Park, Y., & Jo, S. (2021). Educational applications of metaverse: Possibilities and limitations. Journal of Educational Evaluation for Health Professions, 18, 32. https://doi.org/10.3352/jeehp.2021.18.32CrossRef

35.

Lim, W. Y. B., Xiong, Z., Niyato, D., Cao, X., Miao, C., Sun, S., & Yang, Q. (2022). Realizing the metaverse with edge intelligence: A match made in heaven. IEEE Wireless Communications, 1–9.https://doi.org/10.1109/MWC.018.2100716

36.

Lin, Z. (2023). Why and how to embrace AI such as ChatGPT in your academic life. PsyArXiv https://doi.org/10.31234/osf.io/sdx3j

37.

Lippert, A., Shubeck, K., Morgan, B., Hampton, A., & Graesser, A. (2020). Multiple agent designs in conversational intelligent tutoring systems. Technology, Knowledge and Learning, 25(3), 443–463. https://doi.org/10.1007/s10758-019-09431-8CrossRef

38.

Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News (ahead-of-print). https://doi.org/10.1108/LHTN-01-2023-0009

39.

Matsubara, M., & Oguchi, M. (2010). Evaluation of metaverse server in a widely-distributed environment. In R. Meersman, T. Dillon, & P. Herrero (Eds.), On the move to meaningful internet systems: OTM 2010 workshops (pp. 307–316). Springer. https://doi.org/10.1007/978-3-642-16961-8_49

40.

McAdoo, T. (2023). How to cite ChatGPT. https://apastyle.apa.org. https://apastyle.apa.org/blog/how-to-cite-chatgpt

41.

Ng, D. T. K. (2022). What is the metaverse? Definitions, technologies and the community of inquiry. Australasian Journal of Educational Technology, 38(4), Article 4. https://doi.org/10.14742/ajet.7945

42.

Njoku, J. N., Nwakanma, C. I., Amaizu, G. C., & Kim, D.-S. (2023). Prospects and challenges of metaverse application in data-driven intelligent transportation systems. IET Intelligent Transport Systems, 17(1), 1–21. https://doi.org/10.1049/itr2.12252CrossRef

43.

Panda, S., & Kaur, N. (2023). Exploring the viability of ChatGPT as an alternative to traditional chatbot systems in library and information centers. Library Hi Tech News (ahead-of-print). https://doi.org/10.1108/LHTN-02-2023-0032

44.

Park, S.-M., & Kim, Y.-G. (2022). A metaverse: Taxonomy, components, applications, and open challenges. IEEE Access, 10, 4209–4251. https://doi.org/10.1109/ACCESS.2021.3140175CrossRef

45.

Radziwill, N. M., & Benton, M. C. (2017). Evaluating quality of chatbots and intelligent conversational agents (arXiv:1704.04579). arXiv https://doi.org/10.48550/arXiv.1704.04579

46.

Ramesh, A., & Chawla, V. (2022). Chatbots in marketing: A literature review using morphological and co-occurrence analyses. Journal of Interactive Marketing, 57(3), 472–496. https://doi.org/10.1177/10949968221095549CrossRef

47.

Rao, H., Leung, C., & Miao, C. (2023). Can ChatGPT assess human personalities? A general Evaluation framework (arXiv:2303.01248). arXiv https://doi.org/10.48550/arXiv.2303.01248

48.

Sun, Y., Xu, Y., Cheng, C., Li, Y., Lee, C. H., & Asadipour, A. (2022). Travel with Wander in the Metaverse: An AI chatbot to Visit the Future Earth. In 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP) (pp. 1–6). https://doi.org/10.1109/MMSP55362.2022.9950031

49.

Sá, M. J., & Serpa, S. (2023). Metaverse as a learning environment: Some considerations. Sustainability, 15(3), Article 3. https://doi.org/10.3390/su15032186

50.

Tellols, D., Lopez-Sanchez, M., Rodríguez, I., Almajano, P., & Puig, A. (2020). Enhancing sentient embodied conversational agents with machine learning. Pattern Recognition Letters, 129, 317–323. https://doi.org/10.1016/j.patrec.2019.11.035CrossRef

51.

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-xCrossRef

52.

Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Metwally, A. H. S., Wang, H., Denden, M., Bozkurt, A., Lee, L.-H., Beyoglu, D., Altinay, F., Sharma, R. C., Altinay, Z., Li, Z., Liu, J., Ahmad, F., Hu, Y., Salha, S., … Burgos, D. (2022). Is Metaverse in education a blessing or a curse: A combined content and bibliometric analysis. Smart Learning Environments, 9(1), 24.https://doi.org/10.1186/s40561-022-00205-x

53.

Van Wyk, M. M., Adarkwah, M., & Amponsah, S. (2023). Why all the hype about ChatGPT? Academics’ views of a chat-based conversational learning strategy at an open distance e-learning institution. Open Praxis, 15, 214–225. https://doi.org/10.55982/openpraxis.15.3.563

54.

Wang, T., Li, J., Kong, Z., Liu, X., Snoussi, H., & Lv, H. (2021). Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration. Journal of Manufacturing Systems, 58, 261–269. https://doi.org/10.1016/j.jmsy.2020.07.011CrossRef

55.

Wang, Y., Su, Z., Zhang, N., Xing, R., Liu, D., Luan, T. H., & Shen, X. (2023). A survey on metaverse: Fundamentals, security, and privacy. IEEE Communications Surveys & Tutorials, 25(1), 319–352. https://doi.org/10.1109/COMST.2022.3202047CrossRef

56.

Ward, W., Cole, R., Bolaños, D., Buchenroth-Martin, C., Svirsky, E., & Weston, T. (2013). My science tutor: A conversational multimedia virtual tutor. Journal of Educational Psychology, 105, 1115–1125. https://doi.org/10.1037/a0031589CrossRef

57.

Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021). Are we there yet?—A Systematic literature review on chatbots in education. Frontiers in Artificial Intelligence, 4, 654924. https://doi.org/10.3389/frai.2021.654924CrossRef

58.

Wong, D., & Floridi, L. (2022). Meta’s oversight board: A review and critical assessment. Minds and Machines. https://doi.org/10.1007/s11023-022-09613-xCrossRef

59.

Xiao, Z., Zhou, M. X., Liao, Q. V., Mark, G., Chi, C., Chen, W., & Yang, H. (2020). Tell me about yourself: Using an AI-powered chatbot to conduct conversational surveys with open-ended questions. ACM Transactions on Computer-Human Interaction, 27(3), 15:1–15:37. https://doi.org/10.1145/3381804

60.

Xu, M., Ng, W. C., Lim, W. Y. B., Kang, J., Xiong, Z., Niyato, D., Yang, Q., Shen, X., & Miao, C. (2023). A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges. IEEE Communications Surveys & Tutorials, 25(1), 656–700. https://doi.org/10.1109/COMST.2022.3221119CrossRef

61.

Yilma, B. A., Panetto, H., & Naudet, Y. (2021). Systemic formalisation of cyber-physical-social system (CPSS): A systematic literature review. Computers in Industry, 129, 103458. https://doi.org/10.1016/j.compind.2021.103458CrossRef

62.

Zeng, J., Yang, L. T., Lin, M., Ning, H., & Ma, J. (2020). A survey: Cyber-physical-social systems and their system-level design methodology. Future Generation Computer Systems, 105, 1028–1042. https://doi.org/10.1016/j.future.2016.06.034CrossRef

63.

Zhai, X. (2022). ChatGPT user experience: Implications for education (SSRN Scholarly Paper No. 4312418). https://doi.org/10.2139/ssrn.4312418

64.

Zhang, J. J., Wang, F.-Y., Wang, X., Xiong, G., Zhu, F., Lv, Y., Hou, J., Han, S., Yuan, Y., Lu, Q., & Lee, Y. (2018). Cyber-physical-social systems: The state of the art and perspectives. IEEE Transactions on Computational Social Systems, 5(3), 829–840. https://doi.org/10.1109/TCSS.2018.2861224CrossRef

65.

Zhang, X., Chen, Y., Hu, L., & Wang, Y. (2022). The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1016300

66.

Zhou, Y., Yu, F. R., Chen, J., & Kuo, Y. (2020). Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities. IEEE Communications Surveys & Tutorials, 22(1), 389–425. https://doi.org/10.1109/COMST.2019.2959013CrossRef

Titel: ChatGPT Implementation in the Metaverse: Towards Another Level of Immersiveness in Education
verfasst von: Michael Agyemang Adarkwah
Ahmed Tlili
Boulus Shehata
Ronghuai Huang
Prince Yaw Owusu Amoako
Huanhuan Wang
Verlag: Springer International Publishing
Buch: Applications of Generative AI
Print ISBN: 978-3-031-46237-5

Electronic ISBN: 978-3-031-46238-2

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-46238-2_21

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner