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Limitations of Mobile Learning: A Systematic Review PROCEEDING

, , Faculty of Learning Sciences and Education, Thammasat University, Thailand

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Vancouver, British Columbia, Canada ISBN 978-1-939797-31-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA


Owing to the advantages of mobile devices, many organizations have applied them as flexible learning tools However, there are some limitations, such as the cost of hardware or the need for a reliable Internet connection This article presents the findings of a systematic review of research articles on the limitations of mobile learning published between 2008 and 2017 A qualitative content analysis was used to identify and categorize challenges in the use of mobile devices in learning, not only in educational institutions but also in other types of organizations The review indicated that problems in mobile learning primarily had to do with device or network characteristics, but also with the readiness of learners and instructors to adopt new technologies, the cost of hardware and software, and trustworthiness of content


Sophonhiranrak, S. & Promsaka Na Sakonnak, S. (2017). Limitations of Mobile Learning: A Systematic Review. In J. Dron & S. Mishra (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 965-971). Vancouver, British Columbia, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 18, 2018 from .

View References & Citations Map


  1. Al-Emran, M., Elsherif, H.M., & Shaalan, K. (2016). Investigating attitudes towards the use of mobile learning in higher education. Computers in Human Behavior, 56, 93–102. DOI> 10.1016/J.chb.2015.11.033Al-Otaibi,H.M.,Alamer,R.A
">Http://,H.M.,Alamer,R.A., & Al-Khalifa, H.S. (2016). The next generation of language labs: Can mobiles help? A case study. Computers in Human Behavior, 59, 342–349. Http://
  • Althunibat, A. (2015). Determining the factors influencing students’ intention to use m-learning in Jordan higher education. Computers in Human Behavior, 52, 65–71. DOI> 10.1016/J.chb.2015.05.046Boulos,M.N.K.,Maramba,I
  • ">Http://,M.N.K.,Maramba,I., & Wheeler, S. (2006). Wikis, blogs and podcasts: a new generation of Web-based tools for virtual collaborative clinical practice and education. BMC Medical Education, 6, 41.
  • Cheon, J., Lee, S., Crooks, S.M., & Song, J. (2011). An investigation of mobile learning readiness in higher education based, (c), 43–49.
  • Cheon, J., Lee, S., Crooks, S.M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers and Education, 59(3), 1054–1064.
  • Davies, B.S., Rafique, J., Vincent, T.R., Fairclough, J., Packer, M.H., Vincent, R., & Haq, I. (2012). Mobile Medical Education (MoMEd) – how mobile information resources contribute to learning for undergraduate clinical students-a mixed methods study. BMC Medical Education, 12(1), 1. DOI> 10.1186/14726920-12-1
  • ">Http://
  • Domingo, M.G., & Garganté, A.B. (2016). Exploring the use of educational technology in primary education: Teachers’ perception of mobile technology learning impacts and applications’ use in the classroom. Computers in Human Behavior, 56, 21–28. DOI> 10.1016/J.chb.2015.11.023Ekanayake,S.Y
  • ">Http://,S.Y., & Wishart, J. (2015). Integrating mobile phones into teaching and learning: A case study of teacher training through professional development workshops. British Journal of Educational Technology, 46(1), 173–189. Http://
  • Fouh, E., Breakiron, D.A., Hamouda, S., Farghally, M.F., & Shaffer, C.A. (2014). Exploring students learning behavior with an interactive etextbook in computer science courses. Computers in Human Behavior, 41, 478– 485. Http://, R., & Joynes, V. (2015). Should mobile learning be compulsory for preparing students for learning in the workplace? British Journal of Educational Technology, 46(1), 153–158. Http://
  • Gan, C.L., & Balakrishnan, V. (2017). Enhancing classroom interaction via {IMMAP} – An Interactive Mobile Messaging App. Telematics and Informatics, 34(1), 230–243.
  • Huang, R., Zhang, H., Li, Y., & Yang, J. (2012). A Framework of Designing Learning Activities, 9–22.
  • Hwang, G.-J., Wu, P.-H., & Ke, H.-R. (2011). An interactive concept map approach to supporting mobile learning activities for natural science courses. Computers& Education, 57(4), 2272–2280.
  • Kearney, M., Burden, K., & Rai, T. (2015). Investigating teachers’ adoption of signature mobile pedagogies. Computers and Education, 80, 48–57. DOI> 10.1016/J.compedu.2014.08.009Koç,T.,Turan,A.H
  • ">Http://ç,T.,Turan,A.H., & Okursoy, A. (2016). Acceptance and usage of a mobile information system in higher education: An empirical study with structural equation modeling. The International Journal of Management Education, 14(3), 286–300. Http://
  • Lam, J., & Duan, C. (2012). A review of mobile learning environment in higher education sector of Hong Kong: Technological and social perspectives. Hybrid Learning, 165–173. Retrieved from,Y.F.,Tsai,P.W.,Yang,S.H., & Hung, C.L. (2012). Comparing the social knowledge construction behavioral patterns of problem-based online asynchronous discussion in e/m-learning environments. Computers and Education, 59(4), 1122–1135. Http://
  • Lee, S., Lee, K., Hye, S.Y., Park, J., & Cho, H. (2016). Effects of Parental Psychological Control on Child ’ s School Life: Mobile Phone Dependency as Mediator. Journal of Child and Family Studies, 25(2), 407–418.
  • Masters, K., Ellaway, R.H., Topps, D., Archibald, D., & Hogue, R.J. (2016). Mobile technologies in medical education: AMEE Guide No. 105. Medical Teacher, 38(6), 537–549.
  • Mesas-Carrascosa, F.J., Castillejo-González, I.L., de la Orden, M.S., & García-Ferrer, A. (2012). Real-time mobile phone application to support land policy. Computers and Electronics in Agriculture, 85, 109–111.
  • Ng, W., & Nicholas, H. (2013). A framework for sustainable mobile learning in schools. British Journal of Educational Technology, 44(5), 695–715. DOI> 10.1111/J.1467-8535.2012.01359.xNguyen,H.,Wahman,E.,Pissinou,N.,Iyengar,S.S">Http://,H.,Wahman,E.,Pissinou,N.,Iyengar,S.S., & Makki, K. (2015). Mobile learning object authoring tool and management system for mobile ad hoc wireless networks. International Journal of Communication Systems, 28, 2180–2196. Http://
  • O’Bannon, B.W., & Thomas, K.M. (2015). Mobile phones in the classroom: Preservice teachers answer the call. Computers and Education, 85, 110–122. DOI> 10.1016/J.compedu.2015.02.010Pimmer,C.,Mateescu,M">Http://,C.,Mateescu,M., & Gröhbiel, U. (2016). Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies. Computers in Human Behavior, 63, 1–18.
  • Scott, K.M., Nerminathan, A., Alexander, S., & Phelps, M. (2015). Using mobile devices for learning in clinical settings: A mixed-methods study of medical student, physician and patient perspectives. British Journal of Educational Technology. Http://,S.(2016).Mobileinstant messaging support for teaching and learning in higher education. The Internet and Higher Education, 31, 32–42. Http://
  • Sobaih, A.E.E., Moustafa, M.A., Ghandforoush, P., & Khan, M. (2016). To use or not to use? Social media in higher education in developing countries. Computers in Human Behavior, 58, 296–305.
  • Yousafzai, A., Chang, V., Gani, A., & Noor, R.M. (2016). Multimedia augmented m-learning: Issues, trends and open challenges. International Journal of Information Management, 36(5), 784–792.
  • These references have been extracted automatically and may have some errors. If you see a mistake in the references above, please contact