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Reseach Article

Cultural Factors that Influence M-Learning for Female University Students: A Saudi Arabian Case Study

by Alaa Badwelan, Adel A. Bahaddad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 5
Year of Publication: 2017
Authors: Alaa Badwelan, Adel A. Bahaddad
10.5120/ijca2017914048

Alaa Badwelan, Adel A. Bahaddad . Cultural Factors that Influence M-Learning for Female University Students: A Saudi Arabian Case Study. International Journal of Computer Applications. 166, 5 ( May 2017), 21-32. DOI=10.5120/ijca2017914048

@article{ 10.5120/ijca2017914048,
author = { Alaa Badwelan, Adel A. Bahaddad },
title = { Cultural Factors that Influence M-Learning for Female University Students: A Saudi Arabian Case Study },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 5 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 21-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number5/27666-2017914048/ },
doi = { 10.5120/ijca2017914048 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:12:54.101657+05:30
%A Alaa Badwelan
%A Adel A. Bahaddad
%T Cultural Factors that Influence M-Learning for Female University Students: A Saudi Arabian Case Study
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 5
%P 21-32
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mobile learning (m-learning) is one of the most technological environments used in higher education distance learning programmes. M-learning provides students with widespread access to classroom resources via mobile devices’ networks and the possibility to learn regardless of their time and place. Many studies have shown the importance of the relationship between electronic systems and communities’ traditions, because their increasing levels of acceptance depend on many moderators that directly affect the acceptance of M-learning communities. This study aims to verify the influence of demographic moderators in the UTAUT model to increase the level of learning perspectives acceptance via mobile in specific higher education communities and institutions. In the present study, the specific community is Saudi Arabia (KSA). The gender separation found in all stages of the Saudi education system is based on religious policies rooted in an Islamic perspective. Using m-learning smartphone applications could be helpful, yet also affected by traditional factors, in supporting women’s efforts in higher education institutions in conservative countries such as KSA. The experiences that we uncover in KSA could be applied in other communities. The method used in the study is a quantitative approach based on a questionnaire completed by roughly 400 university students who are studying, at least in part, via their colleges’ and universities’ m-learning systems. The main objective of the study is to lead to a gradual increase in the number of remote learning students in many Saudi universities over the next five years according to Saudi vision 2030. With the conservative policies pursued in KSA in mind, women face a significant challenge in completing various education paths; thus, providing m-learning through electronic channels, such as mobile applications, could assist them significantly as they face these challenges.

References
  1. Behera, S. K. (2013). E-and M-Learning: A comparative study. International Journal on New Trends in Education and Their Implications, 4(3), 65-78.
  2. Chen, H.-R., & Huang, H.-L. (2010). User Acceptance of Mobile Knowledge Management Learning System: Design and Analysis. Educational Technology & Society, 13 (3), 70–77.
  3. Kukulska-Hulme, A., & Traxler, J. (Eds.). (2005). Mobile learning: A handbook for educators and trainers. Psychology Press.
  4. Al-Fahad, F. N. (2009). Students' Attitudes and Perceptions towards the Effectiveness of Mobile Learning in King Saud University, Saudi Arabia. Online Submission, 8(2).
  5. Jaradat, R. M. (2014). Students' Attitudes and Perceptions towards using m-learning for French Language Learning: A case study on Princess Nora University. Int. J. Learn. Man. Sys, 2(1), 33-44.
  6. MacCallum, K., & Jeffrey, L. (2009). Identifying discriminating variables that determine mobile learning adoption by educators: An initial study. Same places, different spaces. Proceedings ascilite Auckland 2009, 602-608.
  7. Goh, T., & Kinshuk, D. (2006). Getting ready for mobile learning—adaptation perspective. Journal of Educational Multimedia and Hypermedia, 15(2), 175-198.
  8. Milrad, M., Hoppe, U., Gottdenker, J., & Jansen, M. (2004). Exploring the use of mobile devices to facilitate educational interoperability around digitally enhanced experiments. In Wireless and Mobile Technologies in Education, 2004. Proceedings. The 2nd IEEE International Workshop on (pp. 182-186). IEEE.
  9. 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.
  10. Garg, V. (2013, January 15). The Emergence Of Mobile Learning For Higher Education In Kingdom Of Saudi Arabia. Retrieved December 2015 from http://www.upsidelearning.com/blog/index.php/2013/01/15/emergence-of-mobile-learning-for-higher-education-in-kingdom-of-saudi-arabia/Documents/PR_REP_009A.pdf
  11. Aitnews. (2013, August 27). UAE and Saudi Arabia of the most commonly used of smartphones in the world. Arab Portal Technical News. Retrieved November 13, 2014, http://www.aitnews.com/latest-it-news/technology-research-and-studies-news/119939.html
  12. CITC. (2013). IT Report 2013. Retrieved November 13, 2014, http://www.citc.gov.sa/arabic/MediaCenter/Annualreport
  13. InfoDev. (2010). ICT in school education (primary and secondary). Retrieved Jan, 10, 2012, from p://www.infodev.org/en/Document.1016.pdf
  14. Kennedy, G., Dalgarno, B., Bennett, S., Judd, T., Gray, K., & Chang, R. (2008). Immigrants and natives: Investigating differences between staff and students' use of technology. Hello! Where are you in the landscape of educational technology? Proceedings ascilite Melbourne 2008, 484-492.
  15. Abu-Al-Aish, A. and Love, S. 2013. Factors influencing students’ acceptance of M-Learning: an investigation in higher education. The International Review of Research in Open and Distributed Learning, 14(5), 82-107.
  16. Nassuora, A. B. (2012). Students acceptance of mobile learning for higher education in Saudi Arabia. American Academic & Scholarly Research Journal,4(2), 24-30.
  17. Chong, J. L., Chong, A. Y. L., Ooi, K. B., & Lin, B. (2011). An empirical analysis of the adoption of m-learning in Malaysia. International Journal of Mobile Communications, 9(1), 1-18.
  18. Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation.Computers & Education, 49(3), 581-596.
  19. Crawford, V. M. (2007). Creating a Powerful Learning Environment with Networked Mobile Learning Devices. Educational Technology, 47(3), 47-50
  20. Brown, R., Ryu, H., & Parsons, D. (2006, November). Mobile helper for university students: a design for a mobile learning environment. In Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments (pp. 297-300). ACM.
  21. Chao, P. Y., & Chen, G. D. (2009). Augmenting paper-based learning with mobile phones. Interacting with Computers, 21(3), 173-185.
  22. Liu, Z., Zhao, G., Zheng, W., & Jin, J. (2008). The research and exploration of mobile-learning based on Web 2. 0. Paper presented at the International Symposium on Knowledge Acquisition and Modeling (KAM'08), Wuhan, China
  23. Phuangthong, D., & Malisawan, S. (2005, August). A study of behavioral intention for 3G mobile Internet technology: Preliminary research on mobile learning. In Proceedings of the Second International Conference on eLearning for Knowledge-Based Society (pp. 4-7)
  24. Altameem, T. (2011). Contextual mobile learning system for Saudi Arabian universities. International Journal of Computer Applications, 21(4), 21.
  25. Vision 2030. (2016). National Transformation Program. Retrieved August 11, 2016, http://vision2030.gov.sa/en/ntp
  26. Adkins, S. (2011). The US Market for Mobile Learning Products and Services: 2010-2015 Forecast and Analysis Retrieved Jan, 10, 2012, from http://www.ambientinsight.com/Resources/Documents/Ambient-Insight-2010-2015-US-Mobile-Learning-Market-Executive-Overview.pdf
  27. 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.
  28. Ju, T. L., Sriprapaipong, W., & Minh, D. N. (2007). On the success factors of mobile learning. Proceeding for the 5th International Conference on ICT and Higher Education. Bangkok, Thailand. Retrieved from http://phd- e%20Learning.pdf. it.siam.edu/Conference2007/documents/On%20the%20Success%20Factors%20of%20Mobile%20Learning.pdf
  29. Iqbal, S., & Qureshi, I. A. (2012). M-learning adoption: A perspective from a developing country. The International Review of Research in Open and Distance Learning, 3(3), 147-164.
  30. Lowenthal, J. (2010). Using mobile learning: determinates impacting behavioral intention. The American Journal of Distance Education, 24(4), 195-206.
  31. Jairak, K., Praneetpolgrang, P., & Mekhabunchakij, K. (2009). An acceptance of mobile learning for higher education students in Thailand. Proceeding for the 6th International Conference on E-Learning from Knowledge – Based Society, 17-18 December 2009, Thailand, 36.1-36-8.
  32. Yusuf, N. (2013) The future of global education, International Journal of Business and Economic Development, 1(3), 75-82.
  33. Chanchary, F.H. and Islam, S. (2011). Mobile learning in Saudi Arabia: prospects and challenges. 5th international conference on e-learning, 1-6.
  34. Al-Barhamtoshy, H.M. and Himdi, T. (2013). Designing and Implementing M-Learning Model, 1-13.
  35. Razek, M.A. and Bardesi, H. J. (2011) Towards adaptive mobile learning system. IEEE, 11th International Conference on Hybrid Intelligent Systems (HIS), 493-498.
  36. Creswell, J. W. (2008). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research: Pearson/Merrill Prentice Hall.
  37. Sekaran, U. (2003). Research methods for business: a skill building approach. Journal of Education for Business, 68(5), 316-317.
  38. Wuensch, K. (2005). What is a Likert Scale? and How Do You Pronounce 'Likert?. East Carolina University. Retrieved 22 November 2015 from http://core.ecu.edu/psyc/ wuenschk/StatHelp/Likert.htm.
  39. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
  40. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
  41. Hair, J. F., Black, W., Babin, B., & Anderson, R. (2010). Multivariate data analysis: a global perspective (7th ed.). New Jersey: Pearson.
  42. Straub, D., Limayem, M., & Karahanna-Evaristo, E. (1995). Measuring system usage: Implications for IS theory testing. Management science, 41(8), 1328-1342.
Index Terms

Computer Science
Information Sciences

Keywords

M-learning Distance Learning Approach Saudi Arabia Questionnaire Survey UTAUT