Skip to main content
SpringerLink
Log in

Metaverse EdTech Development: Key Factors and AHP Insights from Educators, Developers, and Learners

  • Conference paper
  • First Online:
XR and Metaverse (XR 2023)

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Included in the following conference series:

  • 136 Accesses

Abstract

This paper provides a strategic approach, utilizing the AHP (Analytic Hierarchy Process) method, to understand the critical elements that underpin successful user acceptance in this domain. Drawing from an extensive review of existing literature on VR/AR/MR edtech content, a nuanced model emerges, highlighting the intricacies of user experience, features, and functionalities. By soliciting insights from a diverse pool of educators, developers, and learners, our research sidesteps potential biases and offers a holistic perspective. Key findings underscore the significance of immersive user experiences and the technical sophistication of features. Learner motivation, effective user interactions, and the strategic selection of display mediums, especially the Head-Mounted Displays (HMDs), stood out as pivotal. Beyond its academic contribution, our study serves as a compass for developers venturing into metaverse edtech content creation, emphasizing practical strategies and potential pitfalls. Although not without its limitations, this research marks a foundational step in merging theory and practice in the dynamic world of metaverse edtech.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J.J., Ciganek, A.P.: Critical success factors for e-learning in developing countries: a comparative analysis between ICT experts and faculty. Comput. Educ. 58(2), 843–855 (2012)

    Article  Google Scholar 

  • Bulu, S.T.: Place presence, social presence, co-presence, and satisfaction in virtual worlds. Comput. Educ. 58(1), 154–161 (2012)

    Article  Google Scholar 

  • Cidral, W.A., Oliveira, T., Di Felice, M., Aparicio, M.: E-learning success determinants: Brazilian empirical study. Comput. Educ. 122, 273–290 (2018)

    Article  Google Scholar 

  • Cobo, A., Rocha, R., Rodríguez-Hoyos, C.: Evaluation of the interactivity of students in virtual learning environments using a multicriteria approach and data mining. Behav. Inform. Technol. 33(10), 1000–1012 (2014)

    Article  Google Scholar 

  • Delone, W.H., McLean, E.R.: The DeLone and McLean model of information systems success: a ten-year update. J. Manag. Inf. Syst. 19(4), 9–30 (2003)

    Article  Google Scholar 

  • Elia, V., Gnoni, M.G., Lanzilotto, A.: Evaluating the application of augmented reality devices in manufacturing from a process point of view: an AHP-based model. Exp. Syst. Appl. 63, 187–197 (2016)

    Article  Google Scholar 

  • Falakmasir, M.H., Habibi, J.: Using educational data mining methods to study the impact of virtual classroom in e-learning. In: Educational Data Mining 2010 (2010)

    Google Scholar 

  • Flavián, C., Ibáñez-Sánchez, S., Orús, C.: The impact of virtual, augmented and mixed reality technologies on the customer experience. J. Bus. Res. 100, 547–560 (2019)

    Article  Google Scholar 

  • Gligorić, N., Uzelac, A., Krco, S.: Smart classroom: real-time feedback on lecture quality. In: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 391–394 (2012)

    Google Scholar 

  • Huang, H.M., Rauch, U., Liaw, S.S.: Investigating learners’ attitudes toward virtual reality learning environments: based on a constructivist approach. Comput. Educ. 55(3), 1171–1182 (2010)

    Article  Google Scholar 

  • Ishizaka, A., Labib, A.: Analytic hierarchy process and expert choice: benefits and limitations. ORInsight 22(4), 201–220 (2009)

    Google Scholar 

  • Jarmon, L., Traphagan, T., Mayrath, M., Trivedi, A.: Virtual world teaching, experiential learning, and assessment: an interdisciplinary communication course in second life. Comput. Educ. 53(1), 169–182 (2009)

    Article  Google Scholar 

  • Kayes, D.C.: Experiential learning and its critics: preserving the role of experience in management learning and education. Acad. Manag. Learn. Educ. 1(2), 137–149 (2002)

    Article  Google Scholar 

  • Kim, H.C., Hyun, M.Y.: Predicting the use of smartphone-based augmented reality (AR): does telepresence really help? Comput. Hum. Behav. 59, 28–38 (2016)

    Article  Google Scholar 

  • Lin, H.H., Lin, S., Yeh, C.H., Wang, Y.S.: Measuring mobile learning readiness scale development and validation. Internet Res. 26(1), 265–287 (2016)

    Article  Google Scholar 

  • Liu, Y., Li, H., Carlsson, C.: Factors driving the adoption of m-learning: an empirical study. Comput. Educ. 55(3), 1211–1219 (2010)

    Article  Google Scholar 

  • Lonn, S., Teasley, S.D.: Saving time or innovating practice: investigating perceptions and uses of learning management systems. Comput. Educ. 53(3), 686–694 (2009)

    Article  Google Scholar 

  • Merchant, Z., Goetz, E.T., Cifuentes, L., Keeney-Kennicutt, W., Davis, T.J.: Effectiveness of virtual reality-based instruction on students’ learning outcomes in K-12 and higher education: a meta-analysis. Comput. Educ. 70, 29–40 (2014)

    Article  Google Scholar 

  • Mikropoulos, T.A.: Presence: a unique characteristic in educational virtual environments. Virtual Reality 10(3–4), 197–206 (2006)

    Article  Google Scholar 

  • Mikropoulos, T.A., Natsis, A.: Educational virtual environments: a ten-year review of empirical research (1999–2009). Comput. Educ. 56(3), 769–780 (2011)

    Article  Google Scholar 

  • Monahan, T., McArdle, G., Bertolotto, M.: Virtual reality for collaborative e-learning. Comput. Educ. 50(4), 1339–1353 (2008)

    Article  Google Scholar 

  • Parasuraman, A.: Technology Readiness Index (TRI) a multiple-item scale to measure readiness to embrace new technologies. J. Serv. Res. 2(4), 307–320 (2000)

    Article  Google Scholar 

  • Parasuraman, A., Colby, C.L.: An updated and streamlined technology readiness index: TRI 2.0. J. Serv. Res. 18(1), 59–74 (2015)

    Google Scholar 

  • Petrakou, A.: Interacting through avatars: virtual worlds as a context for online education. Comput. Educ. 54(4), 1020–1027 (2010)

    Article  Google Scholar 

  • Rashid, T., Asghar, H.M.: Technology use, self-directed learning, student engagement and academic performance: examining the interrelations. Comput. Hum. Behav. 63, 604–612 (2016)

    Article  Google Scholar 

  • Rebelo, F., Noriega, P., Duarte, E., Soares, M.: Using virtual reality to assess user experience. Hum. Factors 54(6), 964–982 (2012)

    Article  Google Scholar 

  • Shin, D.H., Biocca, F., Choo, H.: Exploring the user experience of three-dimensional virtual learning environments. Behav. Inform. Technol. 32(2), 203–214 (2013)

    Article  Google Scholar 

  • Singh, J., Malhotra, M., Sharma, N.: Metaverse in education: an overview. In: Applying Metalytics to Measure Customer Experience in the Metaverse, pp. 135–142 (2022)

    Google Scholar 

  • Son, M., Han, K.: Beyond the technology adoption: technology readiness effects on post-adoption behavior. J. Bus. Res. 64(11), 1178–1182 (2011)

    Article  Google Scholar 

  • Sun, P.C., Tsai, R.J., Finger, G., Chen, Y.Y., Yeh, D.Y.: What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Comput. Educ. 50(4), 1183–1202 (2008)

    Article  Google Scholar 

  • Tzeng, G.H., Chiang, C.H., Li, C.W.: Evaluating intertwined effects in e-learning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL. Exp. Syst. Appl. 32(4), 1028–1044 (2007)

    Article  Google Scholar 

  • Van Raaij, E.M., Schepers, J.J.: The acceptance and use of a virtual learning environment in China. Comput. Educ. 50(3), 838–852 (2008)

    Article  Google Scholar 

  • Weller, M.: Twenty years of EdTech. Educause Rev. Online 53(4), 34–48 (2018)

    Google Scholar 

  • Wook, M., Yusof, Z.M., Nazri, M.Z.A.: Data mining technology adoption in institutions of higher learning: a conceptual framework incorporating technology readiness index model and technology acceptance model 3. J. Appl. Sci. 14(18), 2129–2138 (2014)

    Article  Google Scholar 

  • Yang, K.Y., Heh, J.S.: The impact of internet virtual physics laboratory instruction on the achievement in physics, science process skills and computer attitudes of 10th-grade students. J. Sci. Educ. Technol. 16(5), 451–461 (2007)

    Article  Google Scholar 

  • Zweifach, S.M., Triola, M.M.: Extended reality in medical education driving adoption through provider-centered design. Digit. Biomark. 3(1), 14–21 (2019)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Global Studies, Dongguk University, Gyeongju-Si, South Korea

    Kyungmin An

  2. Department of Information Management, Dongguk University, Gyeongju-Si, South Korea

    Young-Chan Lee

Authors
  1. Kyungmin An
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Young-Chan Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Young-Chan Lee .

Editor information

Editors and Affiliations

  1. Creative AR and VR Hub, Manchester Metropolitan University, Manchester, UK

    M. Claudia tom Dieck

  2. Manchester Metropolitan University, Manchester, UK

    Timothy Jung

  3. Dept. of Hospitality, University of Nevada, Las Vegas, Las Vegas, NV, USA

    Yen-Soon Kim

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

An, K., Lee, YC. (2024). Metaverse EdTech Development: Key Factors and AHP Insights from Educators, Developers, and Learners. In: tom Dieck, M.C., Jung, T., Kim, YS. (eds) XR and Metaverse. XR 2023. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-50559-1_8

Download citation

Publish with us

Policies and ethics

Search

Navigation