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Reseach Article

Proposed M-learning Model based on Two Models (Technology Acceptance Model and DeLone and McLean IS success Model)

by Ammar Khader Mohammad Almasri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 142 - Number 4
Year of Publication: 2016
Authors: Ammar Khader Mohammad Almasri

Ammar Khader Mohammad Almasri . Proposed M-learning Model based on Two Models (Technology Acceptance Model and DeLone and McLean IS success Model). International Journal of Computer Applications. 142, 4 ( May 2016), 5-10. DOI=10.5120/ijca2016909735

@article{ 10.5120/ijca2016909735,
author = { Ammar Khader Mohammad Almasri },
title = { Proposed M-learning Model based on Two Models (Technology Acceptance Model and DeLone and McLean IS success Model) },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 142 },
number = { 4 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016909735 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:44:01.689299+05:30
%A Ammar Khader Mohammad Almasri
%T Proposed M-learning Model based on Two Models (Technology Acceptance Model and DeLone and McLean IS success Model)
%J International Journal of Computer Applications
%@ 0975-8887
%V 142
%N 4
%P 5-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

This paper presents findings from an ongoing cross-cultural study exploring the implementation of M-learning environments in higher education in Jordan. The aim of the study was to explore factors affecting students’ acceptance and use of M-learning. A questionnaire was developed based on the Technology Acceptance Model and DeLone and McLean IS success model. Data was collected from different master students in public and private universities in Jordan. The findings of the study suggest that Information Quality by students in regard to mobile learning as the most important antecedent to their Intention and Attitude To Use of mobile technologies for learning.

  1. P. Donnelly, J. Benson, and P. Kirk, How to Succeed at E-learning vol. 37: Wiley-Blackwell, 2012.
  2. J. Coultas, R. Luckin, and B. du Boulay, "How compelling is the evidence for the effectiveness of e-Learning in the post-16 sector?," Available at:(Accessed 25 May 2007), 2003.
  3. K. Jairak, P. Praneetpolgrang, and K. Mekhabunchakij, "An acceptance of mobile learning for higher education students in Thailand," in Sixth International Conference on eLearning for Knowledge-Based Society, Thailand, 2009, pp. 17-18.
  4. K. Peters, "m-Learning: Positioning educators for a mobile, connected future," Mobile learning, p. 113, 2009.
  5. M. Paige, "Sams teach tourself jQuery mobile in 24 hours by Phil Dutson," ACM SIGSOFT Software Engineering Notes, vol. 38, pp. 56-57, 2013.
  6. J. M. Mateo-Sanz, "Distributed Architecture with Double-Phase Microaggregation for the Private Sharing of Biomedical Data in Mobile Health," 2013.
  7. J. Traxler, "Mobile Learning: Shaping the Frontiers of Learning Technologies in Global Context," in Reshaping Learning: Springer, 2013, pp. 237-251.
  8. W. P. Mtega, R. Bernard, A. C. Msungu, and R. Sanare, "Using Mobile Phones for Teaching and Learning Purposes in Higher Learning Institutions: the Case of Sokoine University of Agriculture in Tanzania," UbuntuNet-Connect 2012 Promoting regional Research and Education Collaboration, p. 118, 2012.
  9. S. Iqbal and I. A. Qureshi, "M-learning adoption: A perspective from a developing country," The International Review of Research in Open and Distance Learning, vol. 13, pp. 147-164, 2012.
  10. H. Peng, Y. J. Su, C. Chou, and C. C. Tsai, "Ubiquitous knowledge construction: Mobile learning re‐defined and a conceptual framework," Innovations in Education and Teaching International, vol. 46, pp. 171-183, 2009.
  11. M. Ally, Mobile learning: Transforming the delivery of education and training: Athabasca University Press, 2009.
  12. R. Ali and V. Irvine, "Current m-learning research: A review of key literature," in World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 2009, pp. 2353-2359.
  13. A. Anani, "M-learning in review: Technology, standard and evaluation," Journal of Communication and Computer, vol. 5, pp. 1-6, 2008.
  14. E. Al-Masri and Q. H. Mahmoud, "MLDF: Discovering Mobile Learning Content using Mobile Devices," 2012.
  15. L. Mockus, H. Dawson, S. Edel-Malizia, D. Shaffer, J. An, and A. Swaggerty, "The impact of mobile access on motivation: Distance education student perceptions," World Campus Learning Design, 2011.
  16. P. Nedungadi and R. Raman, "A new approach to personalization: integrating e-learning and m-learning," Educational Technology Research and Development, vol. 60, pp. 659-678, 2012.
  17. Y. Rogers, H. Sharp, and J. Preece, Interaction design: beyond human-computer interaction: Wiley, 2011.
  18. G. Yang, D. Wen, N.-S. Chen, and E. Sutinen, "Personalized Text Content Summarizer for Mobile Learning: An Automatic Text Summarization System with Relevance Based Language Model," in Technology for Education (T4E), 2012 IEEE Fourth International Conference on, 2012, pp. 90-97.
  19. G. Trajkovski, "Transitioning from e-Learning to m-Learning: Present Issues and Future Challenges," 2013.
  20. M. Simkova, H. Tomaskova, and Z. Nemcova, "Mobile Education in Tools," Procedia-Social and Behavioral Sciences, vol. 47, pp. 10-13, 2012.
  21. K. Y. Qudah, J. A. Hussain, and R. Al Matari, "Students' Attitudes in Colleges of Education at the Jordanian Universities towards Mobile Phone Usage in University Education," iJIM, vol. 7, pp. 19-28, 2013.
  22. F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, "User acceptance of computer technology: a comparison of two theoretical models," Management science, vol. 35, pp. 982-1003, 1989.
  23. W. H. DeLone and E. R. McLean, "Information systems success: the quest for the dependent variable," Information systems research, vol. 3, pp. 60-95, 1992.
  24. J. E. Bailey and S. W. Pearson, "Development of a tool for measuring and analyzing computer user satisfaction," Management science, vol. 29, pp. 530-545, 1983.
  25. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "User acceptance of information technology: Toward a unified view," MIS quarterly, pp. 425-478, 2003.
  26. F. D. Davis, "User acceptance of information technology: system characteristics, user perceptions and behavioral impacts," International journal of man-machine studies, vol. 38, pp. 475-487, 1993.
Index Terms

Computer Science
Information Sciences


IS success model Information Quality TAM