Mobile Learning Among University Students: Adoption and Application of M-Learning
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Abstract
The successful implementation of mobile learning is mainly impacted by learners’ attitudes to accepting and applying mobile learning systems. In the current study, an m-learning application was developed and implemented for university students, and their perspective toward the adoption and application of m-learning was investigated. This cross-sectional study was carried out in 2020. The participants were 114 university students at Abadan University of Medical Sciences. Data were collected by means of a valid questionnaire containing 42 questions in 13 subscales in addition to an open-ended question about the positive and negative aspects of the m-learning application. There was a significant relationship between acceptance and major (P=0.001), mobile usage (P=0.035), and familiarity with m-learning (P<0.001). The total mean of m-learning application acceptance was 3.95±0.32, which shows a good level. Self-efficacy, perceived ease of use, and user interface were, respectively, the most influencing factors; mobile device limitation and governmental support were the least influencing factors. “Direct communication with the teacher/instructor” and “Internet disconnection during video teaching” were among the positive and negative aspects of applying the m-learning application, respectively. The m-learning application was well adopted among the students. Mobile device limitations are a reason for the student's concerns. “Usability features” can be a point for covering mobile device limitations.
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29. Jones C, Hayter M. Editorial: social media use by nurses and midwives: a 'recipe for disaster' or a 'force for good'? Journal of clinical nursing. 2013;22(11-12):1495-6. Availabe at: https://onlinelibrary.wiley.com/doi/full/10.1111/jocn.12239
30. IWS. Iran - Telecoms, Mobile and Broadband - Statistics and Analyses. Availabe at: https://wwwbuddecomau/Research/Iran-Telecoms-Mobile-and-Broadband-Statistics-and-Analyses?r=51 accessed at: Oct 26, 2020. 2020.
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34. Ngampornchai A, Adams J. Students’ acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education. 2016;13(1):34. Availabe at: https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-016-0034-x
2. Korucu A, Alkan A. Differences between m-learning (mobile learning) and e-learning, basic terminology and usage of m-learning in education. Procedia - Social and Behavioral Sciences. 2011;15:1925-30. Available at https://www.sciencedirect.com/science/article/pii/S1877042811005751
3. Khan AI, Al-Shihi H, Al-khanjari ZA, Sarrab M. Mobile Learning (M-Learning) adoption in the Middle East: Lessons learned from the educationally advanced countries. Telematics and Informatics. 2015;32(4):909-20. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0736585315000362
4. Mahmodi M. The Analysis of the Factors Affecting the Acceptance of E-learning in Higher Education. Interdisciplinary Journal of Virtual Learning in Medical Sciences. 2017;8(1):-.
5. Nyíri K. Towards a philosophy of m-learning2002. 121-4 p. Available at: https://ijvlms.sums.ac.ir/article_44802.html
6. Al-Jundi W, Kayssi A, Papia G, Dueck A. Smart(phone) Learning Experience Among Vascular Trainees Using a Response System Application. Journal of surgical education. 2017;74(4):638-43. Available at: https://www.sciencedirect.com/science/article/abs/pii/S1931720416301830
7. Triantafillou E, Georgiadou E, Economides AA. The design and evaluation of a computerized adaptive test on mobile devices. Computers & Education. 2008;50(4):1319-30. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0360131506001965
8. Elfeky A, Masadeh T. The Effect of Mobile Learning on Students' Achievement and Conversational Skills. International Journal of Higher Education. 2016;5:20-31. Available at: https://eric.ed.gov/?id=EJ1102679
9. Filali Marzouki O, Khalidi Idrissi M, Bennani S. Effects of Social Constructivist Mobile Learning Environments on Knowledge Acquisition: A Meta-Analysis. International Journal of Interactive Mobile Technologies (iJIM); Vol 11, No 1 (2017). 2017.
10. Odukoya J, Adekeye O, Okunlola S. Assessing the Effectiveness of Mobile Learning Devices in Tertiary Institutions: The Experience of Undergraduates in a Nigerian Private University. International Journal of Interactive Mobile Technologies (iJIM). 2017;11:160. Available at: http://eprints.covenantuniversity.edu.ng/9084/1/iJIM%202017.pdf
11. Suartama IK, Setyosari P, Ulfa S. Development of Ubiquitous Learning Environment Based on Moodle Learning Management System. International Journal of Interactive Mobile Technologies (iJIM). 2020;14:182-204. Available at: https://www.learntechlib.org/p/217822/
12. Khan AS, Nawaz A, editors. Role of contextual factors in using e-Learning systems for higher education in developing countries. available at: https://www.semanticscholar.org/paper/Role-of-contextual-factors-in-using-e-Learning-for-Khan-Nawaz/9c1a093483c4c6c53d6528ca148df030aab7e2392013.
13. Mohammadyari S, Singh H. Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education. 2015;82:11-25. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0360131514002450
14. Kanwal F, Rehman M. Factors Affecting E-Learning Adoption in Developing Countries–Empirical Evidence From Pakistan’s Higher Education Sector. IEEE Access. 2017;5:10968-78. Available at: https://ieeexplore.ieee.org/abstract/document/7945517
15. Chavoshi A, Hamidi H. Social, individual, technological and pedagogical factors influencing mobile learning acceptance in higher education: A case from Iran. Telematics and Informatics. 2019;38:133-65. Available at: https://www.sciencedirect.com/science/article/abs/pii/S073658531830618X
16. Gómez-Ramirez I, Valencia-Arias A, Duque L. Approach to M-learning Acceptance Among University Students: An Integrated Model of TPB and TAM. The International Review of Research in Open and Distributed Learning. 2019;20(3). Available at: https://www.erudit.org/en/journals/irrodl/2019-v20-n3-irrodl04799/1062526ar/
17. Ibrahim N, Chee KN, Yahaya N. An evaluation of the learning effectiveness of a formulated ideal social collaborative mobile learning environment application towards cognitive level in biology. International Journal of Mobile Learning and Organisation. 2018;12:162. Available at: https://www.inderscienceonline.com/doi/abs/10.1504/IJMLO.2018.090850
18. Zhou P, He R, Zhang D, Rao J, editors. Exploring Factors Affecting Students' Satisfaction of M-Learning in High School. 2018 Seventh International Conference of Educational Innovation through Technology (EITT); 2018 12-14 Dec. 2018. Available at: https://ieeexplore.ieee.org/abstract/document/8719417
19. Inostroza R, Rusu C, Roncagliolo S, Rusu V, Collazos C. Developing SMASH: A set of SMArtphone's uSability Heuristics. Computer Standards & Interfaces. 2016;43:40-52. Available at: https://www.sciencedirect.com/science/article/abs/pii/S0920548915000926
20. Chong PHJ, So PL, Shum P, Li XJ, Goyal D. Design and implementation of user interface for mobile devices. Consumer Electronics, IEEE Transactions on. 2004;50:1156-61. Available at:https://ieeexplore.ieee.org/abstract/document/1362513
21. Ali A, Alrasheedi M, Ouda A, Capretz L. A study of the interface usability issues of mobile learning applications for smart phones from the user’s perspective. International Journal on Integrating Technology in Education. 2014;3(4):1-16. Available at: https://arxiv.org/abs/1501.01875
22. Gong J, Tarasewich P. Guidelines for handheld mobile device interface design. availabe at: https://citeseerxistpsuedu/viewdoc/download?doi=1011875230&rep=rep1&type=pdf. 2004.
23. Hujainah F, Dahlan H, Al-haimi B. Usability Guidelines of Mobile Learning Application. Journal of Information Systems Research and Innovation. 2013;5:70-7. Available at: https://seminar.utmspace.edu.my/jisri/download/Vol5/Pub9_Usability_Mobile_Learning_Application.pdf
24. Lobo D, Kaskaloglu K, Kim C, Herbert S. Web Usability Guidelines For Smartphones: A Synergic Approach. International journal of information and electronics engineering. 2011;1:33-7. Available at: https://dro.deakin.edu.au/eserv/DU:30036996/lobo-webusability-2011.pdf
25. Shneiderman B, Plaisant C, Cohen M, Jacobs S. Designing the User Interface: Strategies for Effective Human-Computer Interaction (5th Edition) 5th Edition. Availabe at: https://wwwamazoncom/Designing-User-Interface-Human-Computer-Interaction/dp/0321537351#:~:text=Cohen%20%26%20Steve%20Jacobs-,Designing%20the%20User%20Interface%3A%20Strategies%20for%20Effective%20Human%2DComputer%20Interaction,experience%20to%20this%20latest%20edition. 2009.
26. Zamri KY, Subhi NNA, editors. 10 user interface elements for mobile learning application development. 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL); 2015 19-20 Nov. 2015. Availabe at: https://ieeexplore.ieee.org/abstract/document/7359551
27. Wang S, Higgins M. Limitations of Mobile Phone Learning2005. 3 pp. p. Availabe at: https://ieeexplore.ieee.org/abstract/document/1579260
28. Khaddage F, Knezek G. Device Independent Mobile Applications for Teaching and Learning: Challenges, Barriers and Limitations. In: Barton S-M, Hedberg J, Suzuki K, editors. Global Learn 2011; Melbourne, Australia: Association for the Advancement of Computing in Education (AACE); 2011. p. 1-7. Availabe at: https://www.learntechlib.org/p/37143/
29. Jones C, Hayter M. Editorial: social media use by nurses and midwives: a 'recipe for disaster' or a 'force for good'? Journal of clinical nursing. 2013;22(11-12):1495-6. Availabe at: https://onlinelibrary.wiley.com/doi/full/10.1111/jocn.12239
30. IWS. Iran - Telecoms, Mobile and Broadband - Statistics and Analyses. Availabe at: https://wwwbuddecomau/Research/Iran-Telecoms-Mobile-and-Broadband-Statistics-and-Analyses?r=51 accessed at: Oct 26, 2020. 2020.
31. West M, Vosloo S. UNESCO policy guidelines for mobile learning. Availabe at: https://unesdocunescoorg/ark:/48223/pf0000219641 accessed at: Oct 27, 2020. 2013.
32. Lin SH, Lee H-C, Chang C-T, James Fu C. Behavioral intention towards mobile learning in Taiwan, China, Indonesia, and Vietnam. Technology in Society. 2020;63:101387.
33. Coşkunçay D, Alkış N. a systematic review on acceptance of mobile learning. https://www.researchgate.net/publication/328093202_A_SYSTEMATIC_REVIEW_ON_ACCEPTANCE_OF_MOBILE_LEARNING2018.
34. Ngampornchai A, Adams J. Students’ acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education. 2016;13(1):34. Availabe at: https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-016-0034-x
| Files | ||
| Issue | Vol 60 No 11 (2022) | |
| Section | Original Article(s) | |
| DOI | https://doi.org/10.18502/acta.v60i11.11655 | |
| Keywords | ||
| Distance education Distance learning Attitude Acceptance | ||
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How to Cite
1.
Zare S, Shirdeli M, Rezaee R, Niknam F, Mobarak S, Jelvay S. Mobile Learning Among University Students: Adoption and Application of M-Learning. Acta Med Iran. 2023;60(11):699-706.
