iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.1007/s10639-019-09865-8
Mobile learning technology acceptance in Saudi Arabian higher education: an extended framework and A mixed-method study | Education and Information Technologies Skip to main content

Advertisement

Log in

Mobile learning technology acceptance in Saudi Arabian higher education: an extended framework and A mixed-method study

  • Published:
Education and Information Technologies Aims and scope Submit manuscript

Abstract

This article reports a two-phase study with (1) an extended framework on mobile learning technology acceptance, and (2) a mixed-method research investigating college students on the use and embracement of mobile learning technology acceptance in Saudi Arabia. The research extended the Unified Theory of Acceptance and Use of Technology (UTAUT) framework with constructs particularly concerning mobile learning technology. The sequential mixed-method study investigated college students’ mobile learning technology acceptance in Saudi Arabia, and also validated the extended framework with empirical data. A total of 1203 eligible college students, 591 male and 612 females, participated in the online survey, and 15 of them also participated in individual interviews afterward. A wide range of social media and social networking sites were used to recruit participants and collect data. The study found that variables like Learning Expectancy (LE), Effort Expectancy (EE), Social Influence (SI), and characteristics of mobile learning were significant predictors of students’ intentions to use mobile learning technologies, regardless of the moderating effects of gender, age, and eLearning experience. Social influence was the only construct that was found as moderated by gender, where men showed a stronger behavioral intention to use mobile learning technology than women. Facilitating Conditions (FC) and Self-Management of Mobile Learning (SMML) in this study were not significant in predicting students’ behavioral intention or their use behavior of mobile learning technology acceptance.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Abdulrahman, R. A., & Benkhelifa, E. (2017, October). A systematic literature review on mobile learning in Saudi Arabia. In Computer Systems and Applications (AICCSA), 2017 IEEE/ACS 14th International Conference on (pp. 1354–1361). IEEE.

  • Aifan, H. A. (2015). Saudi students' attitudes toward using social media to support learning. Kansas, USA: (Unpublished doctoral dissertation), University of Kansas, Lawrence Retrieved from http://hdl.handle.net/1808/19498.

    Google Scholar 

  • Aissani, R., & Dheyab, A. (2018). Motives for the use of twitter by Arab youth. Communication Today, 9(1), 114–139.

    Google Scholar 

  • Al Masarweh, Mohammed. (2018). Evaluating M-learning in Saudi Arabia universities using concerns-based adoption model level of use framework. (IJACSA) International Journal of Advanced Computer Science and Applications. Vol. 9, No. 6, 2018.

  • Alenezi, A. R. (2017). An exploratory studyon students mobile technology usage as learing tool at Aljouf University in Saudi. International Interdisciplinary Journal of Education, 6(5), 301–108.

    Google Scholar 

  • Alfarani, L. A. (2014). Influences on the adoption of mobile learning in Saudi women teachers in higher education. In 2014 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL) (pp. 30–34). Thessaloniki, Greece: IEEE.

    Google Scholar 

  • Al-Hujran, O., Al-Lozi, E., & Al-Debei, M. (2014). “Get ready to mobile learning”: Examining factors affecting college students' behavioral intentions to use m-learning in Saudi Arabia. International Journal of Business Administration, 10(1), 16.

    Google Scholar 

  • Al-Muhtadi, J., Shahzad, B., Saleem, K., Jameel, W., & Orgun, M. A. (2017). Cybersecurity and privacy issues for socially integrated mobile healthcare applications operating in a multi-cloud environment. Health Informatics Journal. https://doi.org/10.1177/1460458217706184.

    Google Scholar 

  • Arabian Business. (2018). Saudi Kids Given First Mobile Phone Aged Just 7. Retrieved from https://www.arabianbusiness.com/technology/407635-saudi-kids-given-first-mobile-phone-aged-just-7.

  • Arpaci, I. (2015). A comparative study of the effects of cultural differences on the adoption of mobile learning. British Journal of Educational Technology, 46(4), 699–712.

    Google Scholar 

  • Askool, S. S. (2013). The use of social media in Arab countries: A case of Saudi Arabia. In J. Cordeiro & K.-H. Krempels (Eds.), Web information systems and technologies (pp. 201–219). Berlin, Heidelberg: Springer.

    Google Scholar 

  • Attuquayefio, S. N., & Addo, H. (2014). Using the UTAUT model to analyze students' ICT adoption. International Journal of Education & Development using Information & Communication Technology, 10(3), 75–86.

    Google Scholar 

  • Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Thousand Oaks, California: SAGE Publications.

    Google Scholar 

  • Davis, F. D., & Venkatesh, V. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186–204. Retrieved from. https://doi.org/10.1287/mnsc.46.2.186.11926.

    Article  Google Scholar 

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.

    Google Scholar 

  • de Sena Abrahão, R., Moriguchi, S. N., & Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the unified theory of acceptance and use of technology (UTAUT). RAI Revista de Administração e Inovação, 13(3), 221–230.

    Google Scholar 

  • Dimitrios, X., & Alali, A. S. (2014). Investigating the attitude of the average Saudi towards the social media. In A. Zaharim, K. Sopian, K. Psarris, & M. Margenstern (Eds.), The 13th international conference on applied computer and applied computational science. Kuala Lumpur, Malaysia: WSEAS Press.

    Google Scholar 

  • Donaldson, R. L. (2011). Student acceptance of mobile learning (Doctoral dissertation) Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-0716. Accessed 1 December 2018.

  • Dwivedi, Yogesh K., Rana, Nripendra P., Jeyaraj, Anand, Clement, Marc ,Williams, Michael D. (2017). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model SN -1572-9419 Retrieved from - https://doi.org/10.1007/s10796-017-9774-y

    Google Scholar 

  • El-Gayar, O., Moran, M., Hawkes, M. (2011). Students’ Acceptance of Tablet PCs and Implications for Educational Institutions. Journal of Educational Technology & Society, 14(2), 58–70.

  • Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191.

    Google Scholar 

  • Fenton, William. (2018) The best (LMS) Learing Management Systems for 2018. Retrieved from https://www.pcmag.com/article2/0,2817,2488347,00.asp. Accessed 1 January 2019.

  • Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236.

    Google Scholar 

  • Hamzat, S., & Mabawonku, I. (2018). Influence of performance expectancy and facilitating conditions on use of digital library by engineering lecturers in universities in south-west, Nigeria. Library Philosophy and Practice, (e-journal). Retrieved from https://digitalcommons.unl.edu/libphilprac/1620. Accessed 1 August 2018.

  • Hsu, H.-H. (2012). The acceptance of Moodle: An empirical study based on UTAUT. Creative Education, 3, 44–46. https://doi.org/10.4236/ce.2012.38B010.

    Article  Google Scholar 

  • Imtiaz, M. A., & Maarop, N. (2014). A review of technology acceptance studies in the field of education. Jurnal teknologi. A, Pembuatan, bahan termaju, tenaga dan pengangkutan, 69(2), 6.

  • Iqbal, S., & Qureshi, I. A. (2012). M-learning adoption: A perspective from a developing country. The International Review of Research in Open and Distributed Learning, 13(3), 147–164.

    Google Scholar 

  • King Abdulaziz University. (2014). Measuring the Readiness of Faculty Members and Female Students at King Abdulaziz University for Blended Learning and Mobile Learning. In Vol. 2016. Jeddah, Saudi Arabia: King Abdulaziz Univesity.

    Google Scholar 

  • Kline, P. (2000). The handbook of psychological testing. London: Routledge.

    Google Scholar 

  • Kutbi, A. (2015). How Undergraduate Female Students in the Kingdom of Saudi Arabia Perceive Social Media as a Learning Tool: An Exploratory Study. (Unpublished M.Ed. thesis). Windsor, Ontario, Canada: University of Windsor Retrieved from https://scholar.uwindsor.ca/etd/5290. Accessed 3 February 2019.

  • Liew, B. T., Kang, M., Yoo, E., & You, J. (2013). Investigating the determinants of mobile learning acceptance in Korea. In J. Herrington, A. Couros, & V. Irvine (Eds.), EdMedia: World Conference on Educational Media and Technology 2013 (pp. 1424–1430). Victoria, Canada: Association for the Advancement of Computing in Education (AACE).

    Google Scholar 

  • Lorenz, Graf-Vlachy and Buhtz, Katharina, (2017). "Social influence in technology adoption research: A literature review and research AGENDA". In Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, June 5-10, 2017 (pp. 2331–2351).

    Google Scholar 

  • Ma, Will. (2019). Implementation Strategies and the Technology Acceptance Model: Is “Ease of Use” Really Useful or Easy to Use in Implementation?. Retrieved from https://www.researchgate.net/publication/228454664_Implementation_Strategies_and_the_Technology_Acceptance_Model_Is_Ease_of_Use_Really_Useful_or_Easy_to_Use_in_Implementation.

  • Ministry Deputyship for Planning and Information. (2016). A statistical summary for students by regions for the academic year 2014–2015. Riyadh: Ministry of Education.

    Google Scholar 

  • Mirabeau, L., Mignerat, M., & Grange, C. (2013). The Utility of using social media networks for data collection in survey research. In R. Baskerville & M. Chau (Eds.), Thirty Fourth International Conference on Information Systems (pp. 1–9) Retrieved from http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1313&context=icis2013.

    Google Scholar 

  • Narayanasamy, F. S., & Mohamed, J. B. K. (2013). Adaptation of mobile learning in higher educational institutions of Saudi Arabia. Age, 18(10), 34–38 Retreived from https://pdfs.semanticscholar.org/b80a/4ab96745439aa15e246913415f0cfba3fe62.pdf.

    Google Scholar 

  • Nassuora, A. B. (2012). Students acceptance of mobile learning for higher education in Saudi Arabia. American Academic & Scholarly Research Journal, 4(2), 24–30.

    Google Scholar 

  • Neufeld, D. J., Dong, L., & Higgins, C. (2007). Charismatic leadership and user acceptance of information technology. European Journal of Information Systems, 16(4), 494–510.

  • Nistor, N., Göğüş, A., & Lerche, T. (2013). Educational technology acceptance across national and professional cultures: A European study. Educational Technology Research & Development, 61(4), 733–749.

    Google Scholar 

  • Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703.

    Google Scholar 

  • Oye, N. D., A.Iahad, N., & Ab.Rahim, N. (2014). The history of UTAUT model and its impact on ICT acceptance and usage by academicians. Education and Information Technologies, 19(1), 251–270.

    Google Scholar 

  • Pedro, L. F. M. G., de Oliveira Barbosa, C. M. M., & das Neves Santos, C. M. (2018). A critical review of mobile learning integration in formal educational contexts. International Journal of Educational Technology in Higher Education, 15(1), 10.

    Google Scholar 

  • Platzer, E., & Petrovic, O. (2010). Development of technology acceptance research for mobile services. In In 2010 Proceedings of the 33rd International Convention MIPRO (pp. 1154–1159). MIPRO Croatian Society: Opatija, Croatia.

    Google Scholar 

  • Raman, A., Don, Y., Khalid, R., Hussin, F., Omar, M. S., & Ghani, M. (2014a). Technology acceptance on smart board among teachers in Terengganu using UTAUT model. Asian Social Science, 10(11), 84–91.

    Google Scholar 

  • Raman, A., Don, Y., Khalid, R., & Rizuan, M. (2014b). Usage of learning management system (Moodle) among postgraduate students: UTAUT model. Asian Social Science, 10(14), 186–192.

    Google Scholar 

  • Rao, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 61–73.

    Google Scholar 

  • Rogers, E. M. (2003). Diffusion of innovations. New York: Free Press.

    Google Scholar 

  • Salman, M. B. (2016). Saudi Vision 2030. Retrieved from http://vision2030.gov.sa/en.

  • Seliaman, M. E., & Al-Turki, M. S. (2012). Mobile learning adoption in Saudi Arabia. World Academy of Science. Engineering and Technology, 69, 391–293.

    Google Scholar 

  • Shorfuzzaman, M., & Alhussein, M. (2016). Modeling learners’ readiness to adopt mobile learning: A perspective from a GCC higher education institution. Mobile Information Systems, 2016. Retrieved from, 1–10. https://doi.org/10.1155/2016/6982824.

    Article  Google Scholar 

  • Smith, P. J., Murphy, K. L., & Mahoney, S. E. (2003). Towards identifying factors underlying readiness for online learning: An exploratory study. Distance Education, 24(1), 57–67.

    Google Scholar 

  • Stakkestad, S. V., & Fladvad Størdal, G. (2017). The Effects of technology on students’ academic performance rollout of individual laptops in norwegian upper secondary schools(Master's thesis). Retrieved from https://brage.bibsys.no/xmlui/bitstream/handle/11250/2487301/master2017.PDF?sequence=1

  • Statista.com. (n.d.). In Penetration of leading Social Networks in Saudi Arabia as of 3rd quarter 2017. Retrieved January 6, 2019, from https://www.statista.com/statistics/284451/saudi-arabia-social-network-penetration/.

  • Taif University. (2016). Mobile learning Systems in Taif University. Taif, Saudi Arabia: Taif University.

    Google Scholar 

  • The Social Clinic. (2015). The State of Social Media in Saudi Arabia Vol.3. Jeddah, Saudi Arabia: The Social Clinic.

    Google Scholar 

  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research Agenda on interventions. Decision Sciences, 39(2), 273–315.

    Google Scholar 

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

    Google Scholar 

  • Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

    Google Scholar 

  • Vrana, R. (2018). Acceptance of mobile technologies and m-learning in higher education learning: an explorative study at the Faculty of Humanities and Social Science at the University of Zagreb. In 41. Međunarodni skup za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku. Retrieved from https://bib.irb.hr/datoteka/939831.Acceptance_of_mobile_technologies_and_m-learning_in_higher_education_learning.pdf. Accessed 2 January 2019.

  • Wang, Y.-S., Wu, M.-C., & Wang, H.-Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118.

    MathSciNet  Google Scholar 

  • Wen-Hong, C., Huan-Neng, C., Chen, J. K. C., Hui-Ru, C., & Chu, F. L. S. (2010). Exploring acceptance of technology-based service innovations: A perspective of social learning theory. In 7th International Conference on Service Systems and Service Management 2010 (pp. 1–6). https://doi.org/10.1109/icsssm.2010.5530136.

  • Wong, K.-t., Teo, T., & Russo, S. (2013). Interactive whiteboard acceptance: Applicability of the UTAUT model to student teachers. The Asia-Pacific Education Researcher, 22(1), 1–10.

    Google Scholar 

  • Zhao, Y., & Zhu, Q. (2010). Influence factors of technology acceptance model in mobile learning. In R. K. Belew & L. B. Booker (Eds.), Proceedings of the fourth international conference on genetic and evolutionary computing (pp. 542–545). San Francisco, CA: Morgan Kaufmann Publishers.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Talal Alasmari.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alasmari, T., Zhang, K. Mobile learning technology acceptance in Saudi Arabian higher education: an extended framework and A mixed-method study. Educ Inf Technol 24, 2127–2144 (2019). https://doi.org/10.1007/s10639-019-09865-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10639-019-09865-8

Keywords

Navigation