Skip to main content

Students Acceptance of m-Learning for Higher Education – UTAUT Model Validation

  • Conference paper
  • First Online:
Information Systems: Development, Research, Applications, Education (SIGSAND/PLAIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 264))

Included in the following conference series:

Abstract

This study investigated how students perceive the use of mobile technologies during studying process. Although mobile devices are ubiquitous among students, their awareness and readiness to use mobile technologies for studying is still not enough widespread and thus should still be explored especially in various cultural context. Therefore proper study was based on the Unified Theory of Technology Acceptance (UTAUT) to explain determinants impacting students’ intention to use mobile devices and software for studying. Structural equation modelling was used to analyze data collected from 370 students from two universities in Poland. Additionally study allowed to verify the correctness of UTAUT model in this context. The findings showed that the UTAUT model extended with no existing in it connections between Facilitating conditions (FC) and Behavioral intention to use (BI) explains students’ acceptance of m-learning for higher education reasonably well. As a result elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for studying process. More specifically Facilitating conditions occurred to have both impact on Behavioral intention to use and Effort expectancy. This highlights that in contrast to UTAUT model FC does not have to be exclusively associated with Use behavior. Moreover a connection between other UTAUT variables as Effort expectancy and Performance expectancy has been confirmed. Therefore research results showed that UTAUT model can be extended not only with new variables but also with new connections between existing ones.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Alrawashdeh, T., Muhairat, M., Alqatawnah, S.: Factors affecting acceptance of web-based training system: using extended UTAUT and structural equation modeling. Int. J. Comput. Sci. Eng. Inf. Technol. (IJCSEIT), 2(2) (2012)

    Google Scholar 

  2. Anderson, J.C., Gerbing, D.W.: Structural equation modeling in practice: a review and recommended two-step approach. Psychol. Bull. 103, 411–423 (1988)

    Article  Google Scholar 

  3. Barker, V.: Older adolescents’ motivations for social network site use. Cyberpsychol. Behav. 10(3), 478–481 (2009)

    Google Scholar 

  4. Bourgonjon, J., Valcke, M., Soetaert, R., Schellens, T.: Students’ perceptions about the use of video games in the classroom. Comput. Educ. 54(4), 1145–1156 (2010)

    Article  Google Scholar 

  5. Chen, N.S., Kinshuk Wei, C.W., Yang, S.J.H.: Designing a self-contained group area network for ubiquitous learning. Educ. Technol. Soc. 11(2), 16–26 (2008)

    Google Scholar 

  6. Chen, R.S., Hsiang, C.H.: A study on the critical success factors for corporations embarking on knowledge community-based e-learning. Inf. Sci. 177, 570–586 (2007)

    Article  Google Scholar 

  7. Cho, S.K.: Current status and future of MALL. Multimed. Assist. Lang. Learn. 10(3), 197–211 (2007)

    Google Scholar 

  8. Churchill, D., Churchill, N.: Educational affordances of PDAs: a study of a teacher’s exploration of this technology. Comput. Educ. 50(4), 1439–1450 (2008)

    Article  Google Scholar 

  9. Cronbach, L.J., Shavelson, R.J.: My current thoughts on coefficient alpha and successor procedures. Educ. Psychol. Meas. 64(3), 391–418 (2004)

    Article  Google Scholar 

  10. Crompton, H.: A historical overview of m-learning. Toward learner-centered educaton. In: Berge, Z.L., Muilenburg, L. (eds.) Handbook of Mobile Learning, pp. 3–4. Routledge (2013)

    Google Scholar 

  11. Gu, X., Gu, F., Laffey, J.M.: Designing a mobile system for lifelong learning on the move. J. Comput. Assist. Learn. 27(3), 204–215 (2011)

    Article  Google Scholar 

  12. Habboush, A., Nassuora, A., Hussein, A.R.: Acceptance of mobile learning by university students. Am. J. Sci. Res. 22, 119–122 (2011)

    Google Scholar 

  13. Hsu, C.K., Hwang, G.J., Chang, C.K.: Development of a reading material recommendation system based on a knowledge engineering approach. Comput. Educ. 55, 76–83 (2010)

    Article  Google Scholar 

  14. Hwang, G., Chang, H.-F.: A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Comput. Educ. 56, 1023–1031 (2011)

    Article  Google Scholar 

  15. Klopfer, E., Squire, K., Jenkins, H.: Environmental detectives: PDAs as a window into a virtual simulated world. In: Proceedings of IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 95–98. IEEE Computer Society, Vaxjo (2002)

    Google Scholar 

  16. Lowenthal, J.: Using mobile learning: determinates impacting behavioral intention. Am. J. Dist. Educ. 24(4), 195–206 (2010)

    Article  Google Scholar 

  17. Mallat, N., Rossi, M., Tuunainen, V.K., Öörni, A.: The impact of use context on mobile services acceptance: The case of mobile ticketing. Inf. Manage. 46(3), 190–195 (2009)

    Article  Google Scholar 

  18. Marchewka, J., Liu, C., Kostiwa, K.: An application of the UTAUT model for understanding student perceptions using course management software. Commun. IIMA 7, 93–104 (2007)

    Google Scholar 

  19. McConatha, D., Praul, M.: Mobile learning in higher education: an empirical assessment of a new educational tool. Turk. Online J. Educ. Technol. 7(3), 15–21 (2008)

    Google Scholar 

  20. McDonald, R.P., Ho, M.H.: Principles and practice in reporting structural equation analysis. Psychol. Meth. 7(1), 64–82 (2002)

    Article  Google Scholar 

  21. Murphy, A.: Mobile learning in a global context: a training analysis. In: Proceedings of the International Conference on Networking. International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, Morne, Mauritius (2006)

    Google Scholar 

  22. Nassuora, A.B.: Students acceptance of mobile learning for higher education in Saudi Arabia. Int. J. Learn. Manage. Syst. 1, 1–9 (2013)

    Article  Google Scholar 

  23. Ogata, H., Saito, N.A., Paredes, R.G., Martin, G.A.S., Yano, Y.: Supporting classroom activities with the BSUL system. Educ. Technol. Soc. 11(1), 1–16 (2008)

    Google Scholar 

  24. Oye, N.D., Iahad, A.N., Rahim, N.A.: A comparative study of acceptance and use of ICT among university academic staff of ADSU and LASU: Nigeria. Int. J. Sci. Technol. 1(1), 40–52 (2012)

    Google Scholar 

  25. Park, S.Y., Nam, M.-W., Seung-Bong, 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 

  26. Park, Y.: A pedagogical framework for mobile learning: categorizing educational applications of mobile technologies into four types. Int. Rev. Res. Open Dist. Learn. 12(2), 78–102 (2011)

    Google Scholar 

  27. Peters, K.: M-learning: positioning educators for a mobile, connected future. Int. Rev. Res. Open Dist. Learn. 8(2), 1–17 (2007)

    Google Scholar 

  28. Sarala, R.M.: The impact of cultural differences and acculturation factors on post-acquisition conflict. Scand. J. Manage. 26(1), 38–56 (2010)

    Article  Google Scholar 

  29. Sekaran, U.: Research Methods for Business: A Skill Building Approach, p. 172. Wiley, New York (2003)

    Google Scholar 

  30. Shaper, L.K., Pervan, G.P.: ICT and OTS a model of information and communication technology acceptance and utilizations by occupational therapist. Int. J. Med. Inform. 76(1), 212–221 (2007)

    Article  Google Scholar 

  31. Shu-Sheng, L., Hatala, M., Huang, H.-M.: Investigating acceptance toward mobile learning to assist individual knowledge management: based on activity theory approach. Comput. Educ. 54, 446–454 (2010)

    Article  Google Scholar 

  32. Sumak, B., Polancic, G., Hericko, M.: An empirical study of virtual learning environment adoption using UTAUT, pp. 17–22. IEEE (2010)

    Google Scholar 

  33. Traxler, J.: Sustaining mobile learning and its institutions. Int. J. Mob. Blended Learn. 2(4), 58–65 (2010)

    Article  Google Scholar 

  34. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Google Scholar 

  35. Wang, S., Higgins, M.: Limitations of mobile phone learning. JALT CALL J. 2(1), 3–14 (2006)

    Google Scholar 

  36. Wang, Y., Wu, M., Wang, H.: Investigating the determinants and age and gender differences in the acceptance of mobile learning. Br. J. Educ. Technol. 40(1), 92–118 (2009)

    Article  Google Scholar 

  37. Yong, L., Hongxiu, L., Carlsson, C.: Factors driving the adoption of m-learning: An empirical study. Comput. Educ. 55, 1211–1219 (2010)

    Article  Google Scholar 

  38. Yueh, H., Huang, J., Chang, C.: Exploring factors affecting students’ continued Wiki use for individual and collaborative learning: an extended UTAUT perspective. Australas. J. Educ. Technol. 31(1), 19 (2015)

    Article  Google Scholar 

  39. Zhang, P., Li, N., Sun, H.: Affective quality and cognitive absorption: extending technology acceptance research. In: The Hawaii International Conference on System Sciences (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michał Kuciapski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Kuciapski, M. (2016). Students Acceptance of m-Learning for Higher Education – UTAUT Model Validation. In: Wrycza, S. (eds) Information Systems: Development, Research, Applications, Education. SIGSAND/PLAIS 2016. Lecture Notes in Business Information Processing, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-319-46642-2_11

Download citation

Publish with us

Policies and ethics