Survey and analysis of current mobile learning applications and technologies

Authors : Orlando R. E. Pereira , Joel J. P. C. Rodrigues Authors Info & Claims

Article No.: 27, Pages 1 - 35 Published : 27 December 2013 Publication History 64 citation 3,943 Downloads Total Citations 64 Total Downloads 3,943 Last 12 Months 134 Last 6 weeks 3 Get Citation Alerts

New Citation Alert added!

This alert has been successfully added and will be sent to: You will be notified whenever a record that you have chosen has been cited.

To manage your alert preferences, click on the button below. Manage my Alerts

New Citation Alert!

Abstract

Distance learning, electronic learning, and mobile learning offer content, methods, and technologies that decrease the limitations of traditional education. Mobile learning (m-learning) is an extension of distance education, supported by mobile devices equipped with wireless technologies. It is an emerging learning model and process that requires new forms of teaching, learning, contents, and dynamics between actors. In order to ascertain the current state of knowledge and research, an extensive review of the literature in m-learning has been undertaken to identify and harness potential factors and gaps in implementation. This article provides a critical analysis of m-learning projects and related literature, presenting the findings of this aforementioned analysis. It seeks to facilitate the inquiry into the following question: “What is possible in m-learning using recent technologies?” The analysis will be divided into two main parts: applications from the recent online mobile stores and operating system standalone applications.

References

Aljohani, N. R., Davis, H. C., and Loke, S. W. 2012. A comparison between mobile and ubiquitous learning from the perspective of human-computer interaction. Int. J. Mobile Learn. Organis. 6, 3/4, 218--231.

Allen, L., Seeney, M., Boyle, L., and Hancock, F. 2009. The implementation of team based assessment in serious games. In Proceedings of the Conference on Games and Virtual Worlds for Serious Applications (VS-GAMRS’09). 28--35.

Amin, A. H. M., Mahmud, A. K., Abidin, A. I. Z., and Rahman, M. A. 2006. M-learning management tool development in campus-wide environment. Informing Science & Information Technology, 3, 423--434.

Bada, S. 2011. Samsung’s smartphone platform—smartphone for everyone. Retrieved November 12, 2013 from http://www.bada.com/.

Barker, A., Krull, G., and Mallinson, B. 2009. A proposed theoretical model for m-learning adoption in developing countries. In Proceedings of the 4th World Conference on Mobile Learning (mLearn’05). 66.

Berge, Z. L. 2011. If you think socialisation in mlearning is difficult, try personalisation. Int. J. Mob. Learn. Organ. 5, 3/4, 231--238.

BlackBerry, D. 2011. Blackberry—blackberry developer zone. Retrieved November 12, 2013 from http://us.blackberry.com/developers/.

Bri, D., Garcia, M., and H. Coll, J. L. A study of virtual learning environments. WSEAS Trans. Adv. Eng. Educ. 6, 1, 33--43.

Carroll, H., Flanagan, J., and Baniya, S. 2005. A trace-driven simulator for palm os devices. In Proceedings of the IEEE International Conference on Performance Analysis of Systems and Software (ISPASS’05). 157--166.

Chang, A. Y., Littman-Quinn, R., Ketshogileng, D., Chandra, A., Rijken, T., Ghose, S., Kyer, A., Seymour, A. K., and Kovarik, C. L. 2012. Smartphone-based mobile learning with physician trainees in botswana. IJMBL 4, 2, 1--14.

Chao, P.-Y. and Chen, G.-D. 2009. Augmenting paper-based learning with mobile phones. Interact. Comput. 21, 173--185.

Chen, G. D., Chang, C. K., and Wang, C. Y. 2008. Ubiquitous learning website: Scaffold learners by mobile devices with information-aware techniques. Comput. Educ. 50, 77--90.

Ciurea, C. 2011. Using genetic algorithms for building metrics of collaborative systems. Informatica Economica J. 15, 1, 80--91.

Clough, G. 2010. Geolearners: Location-based informal learning with mobile and social technologies. IEEE Trans. Learn. Technol. 3, 1, 33--44.

Cobcroft, R. S., Towers, S., Smith, J., Bruns, A. Literature review into mobile learning in the university context. August 2006, http://eprints.qut.edu.au/4805/.

Cobcroft, R. S., Towers, S. J., Smith, J. E., and Bruns, A. 2006. Mobile learning in review: Opportunities and challenges for learners, teachers, and institutions. In Proceedings of the 2006 Conference on Online Learning and Teaching (OLT’06). 21--30.

Conconi, A., Ganchev, T., Kocsis, O., Papadopoulos, G., Fernandez-Aranda, F., and Jimenez-Murcia, S. 2008. Playmancer: A serious gaming 3d environment. In Proceedings of the Conference on Automated Solutions for Cross Media Content and Multi-Channel Distribution (AXMEDIS’08). 111--117.

Corlett, D., Sharples, M., Bull, S., and Chan, T. 2005. Evaluation of a mobile learning organiser for university students. J. Comput. Assisted Learn. 21, 3, 162--170.

Cox, M. 2013. Formal to informal learning with it: Research challenges and issues for e-learning. J. Comput. Assisted Learn. 29, 1, 85--105.

Crane, L., Benachour, P., and Coulton, P. 2012. Investigating user experiences with spatial and temporal context-aware applications to support mobile virtual learning environments. Int. J. Mob. Learn. Organ. 6, 1, 38--51.

del Jesus, M. J., Gámez, J. A., González, P., and Puerta, J. M. 2011. On the discovery of association rules by means of evolutionary algorithms. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery.