Interdisciplinary Journal of Virtual Learning in Medical Sciences

Published by: Kowsar

Assessing Shazand Petrochemical Employees’ Viewpoint on Applying Mobile Learning Using Logical Action Model

Hossein Molaei Ali Abad 1 , Shahram Mehravar Giglou 2 , * and Fatemeh Rajab Pour Savari 3
Authors Information
1 Master of Education and Human Resource Improvement, Faculty of Psychology and Educational Sciences, Shahid Beheshti University, Tehran, IR Iran
2 Ph.D. Student of Higher Education Management, Faculty of Psychology and Educational Sciences, Allameh Tabataba’i University, Tehran, IR Iran
3 Ph.D. Student in Planning, Faculty of Psychology and Educational Sciences, Kharazmi University, Tehran, IR Iran
Article information
  • Interdisciplinary Journal of Virtual Learning in Medical Sciences: December 2017, 8 (4); e65108
  • Published Online: December 31, 2017
  • Article Type: Research Article
  • Received: October 5, 2017
  • Accepted: November 14, 2017
  • DOI: 10.5812/ijvlms.65108

To Cite: Molaei Ali Abad H, Mehravar Giglou S, Rajab Pour Savari F. Assessing Shazand Petrochemical Employees’ Viewpoint on Applying Mobile Learning Using Logical Action Model, Interdiscip J Virtual Learn Med Sci. 2017 ; 8(4):e65108. doi: 10.5812/ijvlms.65108.

Abstract
Copyright © 2017, Interdisciplinary Journal of Virtual Learning in Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
1. Background
2. Methods
3. Results
4. Discussion and Conclusions
Footnote
References
  • 1. Hew KF. Use of audio podcast in K-12 and higher education: a review of research topics and methodologies. Educ Technol Res Dev. 2008;57(3):333-57. doi: 10.1007/s11423-008-9108-3.
  • 2. Huang CJ, Chen HX, Chen CH. Developing argumentation processing agents for computer-supported collaborative learning. Expert Systems Applicat. 2009;36(2):2615-24. doi: 10.1016/j.eswa.2008.01.036.
  • 3. Laurillard D. Pedagogical forms of mobile learning: framing research questions. 2007.
  • 4. Guo Y, Schwaninger A, Gall H. An Architecture for an Adaptive and Collaborative Learning Management System in Aviation Security. Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2008 WETICE'08 IEEE. 2008. p. 165-70.
  • 5. Rogers Y, Connelly K, Hazlewood W, Tedesco L. Enhancing learning: a study of how mobile devices can facilitate sensemaking. Pers Ubiquitous Comput. 2009;14(2):111-24. doi: 10.1007/s00779-009-0250-7.
  • 6. Venkatesh B, Nargundkar R, Sayed FK, Shahaida P. Assessing indian students'perceptions towards m-learning-some initial conclusions. Int J Mobile Market. 2006;1(2).
  • 7. Wang M, Shen R, Novak D, Pan X. The impact of mobile learning on students' learning behaviours and performance: Report from a large blended classroom. Br J Educ Technol. 2009;40(4):673-95. doi: 10.1111/j.1467-8535.2008.00846.x.
  • 8. Al-Fahad FN. Students' attitudes and perceptions towards the effectiveness of mobile learning in King Saud University, Saudi Arabia. TOJET Turk Online J Educ Technol. 2009;8(2).
  • 9. Garrett BM, Jackson C. A mobile clinical e-portfolio for nursing and medical students, using wireless personal digital assistants (PDAs). Nurse Educ Today. 2006;26(8):647-54. doi: 10.1016/j.nedt.2006.07.020.
  • 10. Cavus N. Investigating mobile devices and LMS integration in higher education: Student perspectives. Proc Comput Sci. 2011;3:1469-74. doi: 10.1016/j.procs.2011.01.033.
  • 11. Maniar N. M-learning to teach university students. EdMedia: World Conference on Educational Media and Technology. Association for the Advancement of Computing in Education (AACE); 2007. p. 881-7.
  • 12. Shih K, Chen H, Chang C, Kao T. The development and implementation of scaffolding-based self-regulated learning system for e/m-learning. Educational Technology & Society. 2010;13(1):80-93.
  • 13. Pollara P, Broussard KK. Student perceptions of mobile learning: A review of current research. Society for Information Technology & Teacher Education International Conference. Association for the Advancement of Computing in Education (AACE); 2011. p. 1643-50.
  • 14. Uzunboylu H, Cavus N, Ercag E. Using mobile learning to increase environmental awareness. Comput Educ. 2009;52(2):381-9. doi: 10.1016/j.compedu.2008.09.008.
  • 15. Wyatt TH, Krauskopf PB, Gaylord NM, Ward A, Huffstutler-Hawkins S, Goodwin L. Cooperative m-learning with nurse practitioner students. Nurs Educ Perspect. 2010;31(2):109-13. [PubMed: 20455369].
  • 16. Maag M. iPod, uPod? An emerging mobile learning tool in nursing education and students’ satisfaction. Who's learning? Whose technology? Proceedings ASCILITE 2006. 2006. p. 483-92.
  • 17. Hsu HY, Wang S, Comac L. Using audioblogs to assist English-language learning: an investigation into student perception. Comput Assist Language Learn. 2008;21(2):181-98. doi: 10.1080/09588220801943775.
  • 18. Kukulska-Hulme A, Traxler J, Petit J. Designed and user-generated activity in the mobile age. J Learn Design. 2007;2(1). doi: 10.5204/jld.v2i1.28.
  • 19. Cavus N, Ibrahim D. m-Learning: An experiment in using SMS to support learning new English language words. Br J Educ Technol. 2009;40(1):78-91. doi: 10.1111/j.1467-8535.2007.00801.x.
  • 20. Williams B, Bearman M. Podcasting Lectures: the next silver bullet?. Aust J Paramed. 2015;6(3).
  • 21. Liu SH, Liao HL, Peng CJ. Applying the technology acceptance model and flow theory to online e-learning users’ acceptance behavior. E-Learn. 2005;4(H6):H8.
  • 22. Moon JW, Kim YG. Extending the TAM for a World-Wide-Web context. Inf Manag. 2001;38(4):217-30. doi: 10.1016/s0378-7206(00)00061-6.
  • 23. Pikkarainen T, Pikkarainen K, Karjaluoto H, Pahnila S. Consumer acceptance of online banking: an extension of the technology acceptance model. Intern Res. 2004;14(3):224-35. doi: 10.1108/10662240410542652.
  • 24. Fishbein M, Ajzen I. Belief, attitude, intention, and behavior: An introduction to theory and research. 1977.
  • 25. Conner M, Armitage CJ. Extending the Theory of Planned Behavior: A Review and Avenues for Further Research. J Appl Soc Psychol. 1998;28(15):1429-64. doi: 10.1111/j.1559-1816.1998.tb01685.x.
  • 26. Ahmadi M. Evaluate and rank the factors influencing the successful implementation of mobile learning in universities by using TRA. Tehran: PNU; 2012.
  • 27. Ryu H. Innovative Mobile Learning: Techniques and Technologies: Techniques and Technologies. IGI Global; 2008.
  • 28. Wagner ED. Enabling mobile learning. Educ Rev. 2005;40(3):41.
  • 29. Wang L. Effectiveness of text-based mobile learning applications: case studies in tertiary education: a thesis presented to the academic faculty, submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences in Information Technology. Massey University; 2009.
  • 30. Keegan D. The incorporation of mobile learning into mainstream education and training. World Conference on Mobile Learning, Cape Town. 2005. 11 p.
  • 31. Kanaanie Nayeri P. The feasibility of holding a mobile learning through Iran Khodro Diesel Company. Tehran: Faculty of Education and Psychology, Shahid Beheshti University; 2013.
  • 32. Kennedy GE, Judd TS, Churchward A, Gray K, Krause KL. First year students' experiences with technology: Are they really digital natives?. Aust J Educ Technol. 2008;24(1). doi: 10.14742/ajet.1233.
  • 33. Preece J. Online Communities: Designing Usability, Supporting Sociability20003Online Communities: Designing Usability, Supporting Sociability. John Wiley, , ISBN: ISBN: 0471805998 £22.50 (paperback). Indust Manag Data Systems. 2000;100(9):459-60. doi: 10.1108/imds.2000.100.9.459.3.
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