Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Design and Development of m-Learning Service Based on 3G Cellular Phones

  • Received : 2011.05.21
  • Accepted : 2012.07.20
  • Published : 2012.09.30
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Abstract

As the knowledge society matures, not only distant, but also off-line universities are trying to provide learners with on-line educational contents. Particularly, high effectiveness of mobile devices for e-Learning has been demonstrated by the university sector, which uses distant learning that is based on blended learning. In this paper, we analyzed previous m-Learning scenarios and future technology prospects. Based on the proposed m-Learning scenario, we designed cellular phone-based educational contents and service structure, implemented m-Learning system, and analyzed m-Learning service satisfaction. The design principles of the m-Learning service are 1) to provide learners with m-Learning environment with both cellular phones and desktop computers; 2) to serve announcements, discussion boards, Q&A boards, course materials, and exercises on cellular phones and desktop computers; and 3) to serve learning activities like the reviewing of full lectures, discussions, and writing term papers using desktop computers and cellular phones. The m-Learning service was developed on a cellular phone that supports H.264 codex in 3G communication technology. Some of the functions of the m-Learning design principles are implemented in a 3G cellular phone. The contents of lectures are provided in the forms of video, text, audio, and video with text. One-way educational contents are complemented by exercises (quizzes).

Keywords

References

  1. K. S. Chung and K. Son, "Design and development of arithmetic operating learning management system based on PDA," Journal of Korea Association of Computer Education, Vol.12, No.3, 2009.
  2. S. M. Jung, et al., "Understanding about u-leaning," issue report, KERIS, 2005.
  3. M. Hooft and K. Swan, Ubiquitous computing in education: Invisible technology, visible impact, Lawrence Erlbaum Associates, 2007.
  4. J. Attewell, "Mobile technologies and learning," London: Learning and Skills Development Agency, 2005.
  5. I. Lee, "Ubiquitous computing for mobile learning," Asia-Pacific Cyber education Journal, Vol.2, No.1, 2006, pp.17-28.
  6. Georgiev, et al., "M-learning-a new stage of e-Learning," Citeseer, 2004.
  7. J. E. Lee, et al., "Learner profile model of m-Learning as an adapted system," Proc. International Conference for Media in Education(IcoMe), 2008, pp.196-203.
  8. J. Attewell and C. Savill-Smith, "Mobile learning and social inclusion: focusing on learners and learning," Learning with Mobile Devices, 2003, pp.3.
  9. S. Bull, et al., "Roles for mobile learner models," Proc. IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE 2004), IEEE Computer Society, Silver Spring, MD., 2004, pp.124-128.
  10. A. Syvanen, M. Pehkonen, H. Turunen, J. Attewell, C. Savill-smith, "Fragmentation in mobile learning," Learning with Mobile Devices, 2004, pp.155-175.
  11. D. Tatar, et al., "Handhelds go to school: Lessons learned," Computer, 2003, pp.30-37.
  12. S. Bull, "User modeling and mobile learning," Proc. User Modeling 2003: 9th International Conference Springer-Verlag, 2003, pp.383-387.
  13. K. S. Chung, et al., "Development and implement of m-Leaning service prototype," Proc. Of Asian Association of Open University(AAOU), 2008, pp.231.
  14. M. Prensky, "What can you learn from a cell phone?," 2005; http://www.innovateon-line.info.
  15. D. Kim, An empirical study on the critical factors for successful m-Learning implementation, Yonsei University, 2005.
  16. M. Weiser, "Ubiquitous computing," IEEE Computer, Vol.26, No.10, 1993, pp.71-72. https://doi.org/10.1109/2.237456
  17. L. Naismith, et. al., "Literature review in mobile technologies and learning," FutureLab Report, Vol.11, 2004.
  18. ETNEWS, White book of ubiquitous, 2005.
  19. A. Trifonova, "Mobile learning-review of the literature," Technology Report No.DIT-03-009. University of Trento, Department of Information and Communication Technology, 2003.
  20. M. Ahomeme, et al., Mobile learning and evaluation. Digital learning 2 project working paper, University of Tampere: Hypermedia Laboratory, 2004.
  21. C. Chang and J. Sheu, "Design and implementation of ad hoc classroom and eSchoolbag systems for ubiquitous learning," 2002, pp.29-30.
  22. C. Chang, et al., "Concept and design of Ad Hoc and Mobile classrooms," Journal of Computer Assisted Learning, Vol.19, No.3, 2003, pp.336-346. https://doi.org/10.1046/j.0266-4909.00035.x
  23. H. P. Chang, et al., "An Adaptive Caching Strategy for m-Learning Based on SCORM Sequencing and Navigation," World Wide Web, vol.11, no.3, 2008, pp 397-406.
  24. G. D. Chen, et al., "Ubiquitous learning website: Scaffold learners by mobile devices with information- aware techniques," Computers & education, Vol.50, No.1, 2008, pp.77-91. https://doi.org/10.1016/j.compedu.2006.03.004
  25. S. Gong, A study of teaching-learning model in m-Learning environment, Gyeogin National University of Education, 2005.
  26. C. Randell, et al., "The Ambient Horn: Designing a novel audio-based learning experience," Personal and Ubiquitous Computing, Vol.8, No.3, 2004, pp.177-183.
  27. J. Zhang, "Hybrid Learning and Ubiquitous Learning," Proc. ICHL 2008, 2008, pp.250-258.
  28. R. Cobcroft, Literature review into mobile learning in the university context, Citeseer, 2006.
  29. C. Savill-Smith and P. Kent, The use of palmtop computers for learning: A review of the literature, Learning and Skills Development Agency, Regent Arcade House, 2003.
  30. S. Jun, et al., "A Context Model Based on Multi-agent in M-learning Environment," Proc. Edutainment 2007, LNCS 4469, 2007, pp.274-282. .
  31. S. R. Subramanya and B.K. Yi, "User Interfaces for Mobile Content," EEE Computer, Vol.39, No.4, 2006, pp.85-87.
  32. B. Alexander, "Going nomadic: Mobile learning in higher education, " EDUCAUSE review, 2004.
  33. J. Colley and G. Stead, "Take a bite: Producing accessible learning materials for mobile devices," learning with mobile devices, pp.43.
  34. S. Fallahkhair, et al., "Dual device user interface design for ubiquitous language learning: Mobile phone and interactive television (iTV)," language teaching, Vol.8, No.9, pp.10-11.
  35. L. Uden, "Activity theory for designing mobile learning," International Journal of Mobile Learning and Organization, Vol.1, No.1, 2007, pp.81-102. https://doi.org/10.1504/IJMLO.2007.011190
  36. R. Ting, Mobile learning: current trend and future challenges, Proc. IEEE International Conference on Advanced Learning, 2005.
  37. H. Ogata and Y. Yano, "How ubiquitous computing can support language learning," Proc. of KEST, 2003, pp.1-6.
  38. L. Motiwalla, "Mobile learning: A framework and evaluation," Computers & education, Vol.49, No.3, 2007, pp.581-596. https://doi.org/10.1016/j.compedu.2005.10.011
  39. A. Danesh, et al., "GeneyTM: Designing a collaborative activity for the palmTM handheld computer," ACM New York, NY, USA, 2001, pp.388-395.
  40. M. Ebner1, et al., "A Study on the Compatibility of Ubiquitous Learning (m-Learning) Systems at University Level," Proc. HCII 2009, LNCS 5616, 2009, pp.34-43.
  41. D. Wiley, The instructional use of learning objects, Agency for Instructional Technology, Association for Educational Communications & Technology, 2002.
  42. A. Holzinger, et al., "Mobile phones as a challenge for M-Learning: Examples for mobile interactive learning objects (MILOs)," Proc. Third IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'05), 2005, pp.307-311.

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