Skip to main content
SpringerLink
Log in

Student Acceptance and Attitude Towards Using 3D Virtual Learning Spaces

  • Conference paper
  • First Online:
Computational Intelligence in Information Systems (CIIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 532))

Abstract

The aim of this paper is to investigate the factors influencing student’s acceptance and attitude towards using 3D virtual learning spaces for education. Extended Technology Acceptance Model has been utilized as its hypothetical premise by incorporating self-efficacy and perceived enjoyment as new external variables. The model is tested through a survey administered to 85 students who took an interest in using the 3D virtual learning spaces. We conducted a regression analysis to examine the potential influence of independent variables on the acceptance and attitude towards using 3D virtual learning spaces. Our result showed that attitude towards using was the significant influence on behavior intention to use. In addition, the reconciliation of self-efficacy and perceived enjoyment are also significant antecedents to perceived ease of use and perceived usefulness. This study confirms that self-efficacy, perceived enjoyment, perceived ease of use, and perceived usefulness are important variables of acceptance and attitude towards using 3D virtual learning spaces.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Nurulhidayati, H.M.S., Mohd Saiful, O., Authien, W.: Virtual campus: a case study of development using open sources software. In: Proceedings of 2016 International Conference on Artificial Intelligence & Manufacturing Engineering (ICAIME 2016), pp. 1–9 (2016)

    Google Scholar 

  2. Bell, M.W, Castronoya, E., Wagner, G.G: Surveying the virtual world - a large scale survey in second life using the virtual data collection interface (VCDI). Research Notes series. German Council for Social and Economic Data (RatSWD) Research Note No. 40, pp. 1–47 (2009)

    Google Scholar 

  3. Carolyn, L., Mary A.C.: Student perceptions of learning science in a virtual world. In: Proceedings of the 24th Annual Conference on Distance Teaching & Learning, pp. 1–5 (2008)

    Google Scholar 

  4. Shudayfat, E., Florica, M., Alin, D.B.M.: A 3D virtual learning environment for teaching chemistry in high school. In: Proceedings of the 23rd International DAAAM Symposium, vol. 23(1), pp. 423–428 (2012)

    Google Scholar 

  5. Pavlos, K., Demetrios G.S.: Implementing a 3D virtual classroom simulation for teachers’ continuing professional development. In: Proceedings of the 18th International Conference on Computers in Education, pp. 36–44 (2010)

    Google Scholar 

  6. Michele, A.P., Florence, M.: Using virtual classrooms: student perceptions of features and characteristics in an online and a blended course. MERLOT J. Online Learn. Teach. 6(1), 135–147 (2010)

    Google Scholar 

  7. Anita, Z.B.: Personalizing virtual learning spaces: a participatory approach. In: Proceeding of World Conference on E-learning in Corporate, Government, Healthcare, and Higher Education 2011, pp. 1790–1795 (2011)

    Google Scholar 

  8. Ali, A., Peggy, H., Shawn, G., Nuket, N.: Virtual space as a learning environment: two case studies. In: Proceedings of the 11th International Education Technology Conference’de Sunulmus Bildiri Istanbul, Turkey, vol. 1, pp. 1278–1285 (2011)

    Google Scholar 

  9. Fred, D.D.: A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology, Cambridge (1986)

    Google Scholar 

  10. Martin, F., Icek, A.: Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)

    Google Scholar 

  11. Chorng, S.O., Jung, Y.L.: Gender differences in perceptions and relationships among dominants of e-learning acceptance. Comput. Hum. Behav. 22, 816–829 (2006)

    Article  Google Scholar 

  12. Sung, Y.P.: An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educ. Technol. Soc. 12(3), 150–162 (2009)

    Google Scholar 

  13. Sung, Y.P., Min, W.N., Seung, B.C.: University students’ behavioral intention to use mobile learning: evaluating the technology acceptance model. Br. J. Educ. Technol. 43(4), 592–605 (2012)

    Article  Google Scholar 

  14. Afzaal, H.S., Noah, A.R., Rudy, R., Armanadurni, A.R.: A preliminary study of students’ attitude on m-learning: an application of technology acceptance model. Int. J. Inf. Educ. Technol. 5(8), 609–614 (2015)

    Article  Google Scholar 

  15. Nikolaos, T., Stelios, D., Maria, P.: Assessing the acceptance of a blended learning university course. Educ. Technol. Soc. 14(2), 224–235 (2011)

    Google Scholar 

  16. Erik, M.V.R., Jeroen, J.L.S.: The acceptance and use of a virtual learning environment in China. Comput. Educ. 50(3), 838–852 (2008)

    Article  Google Scholar 

  17. Reinder, V.: An empirical investigation of pupils’ acceptance of a virtual learning environment (2007)

    Google Scholar 

  18. Marc, F., Christoph, L.: User acceptance of virtual worlds. J. Electron. Commer. Res. 9(3), 231–242 (2008)

    Google Scholar 

  19. Nauman, S.,Yun, Y., Suku, S.: Media richness and user acceptance of second life. In: Proceedings Ascilite Melbourne, pp. 851–860 (2008)

    Google Scholar 

  20. Jia, S., Lauren, B.E.: Intentions to use virtual worlds for education. J. Inf. Syst. Educ. 20(2), 225–234 (2009)

    Google Scholar 

  21. Saniye, T.T., Veysi, İ.: Acceptance of virtual worlds as learning space. Innov. Educ. Teach. Int. 52(3), 254–264 (2015)

    Article  Google Scholar 

  22. Fred, D.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  23. Viswanath, V.: Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)

    Article  Google Scholar 

  24. Darren, G., Paul, M.: SPSS for Windows Step by Step: A Simple Guide and Reference, 4 (11.0 Update) edn, pp. 1–63. Allyn & Bacon, Inc., Boston (2003)

    Google Scholar 

  25. Jum. C.N.: Psychometric Theory. 3rd ed. The University of Michigan: McGraw-Hill, (1967)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universiti Teknologi Brunei, Gadong, Brunei Darussalam

    Hamadiatul Hayati Abdul Hamid, Zulhilmi Ahmad Sherjawi, Saiful Omar & Somnuk Phon-Amnuaisuk

Authors
  1. Hamadiatul Hayati Abdul Hamid
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zulhilmi Ahmad Sherjawi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Saiful Omar
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Somnuk Phon-Amnuaisuk
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hamadiatul Hayati Abdul Hamid .

Editor information

Editors and Affiliations

  1. School of Computing & Informatics, Universiti Teknologi Brunei School of Computing & Informatics, Gadong, Brunei Darussalam

    Somnuk Phon-Amnuaisuk

  2. School of Computing & Informatics, Universiti Teknologi Brunei School of Computing & Informatics, Gadong, Brunei Darussalam

    Thien-Wan Au

  3. School of Computing & Informatics, Universiti Teknologi Brunei School of Computing & Informatics, Gadong, Brunei Darussalam

    Saiful Omar

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Abdul Hamid, H.H., Ahmad Sherjawi, Z., Omar, S., Phon-Amnuaisuk, S. (2017). Student Acceptance and Attitude Towards Using 3D Virtual Learning Spaces. In: Phon-Amnuaisuk, S., Au, TW., Omar, S. (eds) Computational Intelligence in Information Systems. CIIS 2016. Advances in Intelligent Systems and Computing, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-319-48517-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48517-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48516-4

  • Online ISBN: 978-3-319-48517-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation