Kim Svetlana
ABSTRACT
Mobile and ubiquitous computing devices are transforming the way that learners study. But most of learning contents, designed for desktop, are not suitable for headheld devices. This paper presents ALVC (Adaptation Learning Video Content), an architecture that produces secure, portable and personalization e-learning contents for generic mobile device.
- S. J. H. Yang, "Context Aware Ubiquitous Learning Environments for Peer-to-Peer Collaborative Learning," Journal of Educational Technology and Society, vol. 9, no. 1, pp. 188--201, Jan, 2006.Google Scholar
- R. Benlamri, J. Berri, Y. Atif, "A framework for ontologyaware instructional design and planning", Journal of E-Learning and Knowledge Society, Vol. 2, No. 1, pp. 83--96, 2006.Google Scholar
- J. R. Corbeil, ME. Valdes-Corbeil, "Are You Ready for Mobile Learing?", Educase Quarterly, November, pp. 51--58.2007.Google Scholar
- ISO/IEC JTC 1, Information Technology---MPEG-21 http://www.chiariglione.org/mpeg_/standards/mpeg-21/mpeg-21.htmGoogle Scholar
- D. Marinelli, S. M. Stevens, "Synthetic interviews: the art of creating a 'dyad' between humans and machine-based characters", 4th IEEE Workshop on Interactive Voice Technology for Telecommunications Applications, 1998.Google Scholar
- T. Liu and C. Choudary, "Scalable Coding and Wireless Streaming of Lecture Videos for Mobile Learning", Advanced Technology for Learning, Vol. 4, No. 2, 2007 Google ScholarDigital Library
- WURFLDB. http://www.wurflpro.com/static/top.htm viewed on Jan. 10. 2008.Google Scholar
- Lauf, S., Rodriguez, E. "The MPEG-21 Book. Chapter 4 -- IPMP Components". John Wiley&Sons, Ltd, pp. 117-- 138. ISBN: 0-470-01011-8.Google Scholar
- Claudia Niederée, Avaré Stewart, Bhaskar Mehta and Matthias Hemmje. A Multi-Dimensional, Unified User Model for Cross-System Personalization. The Proceeding of the AVI 2004 Workshop on environments for Personalized Information Access. 2004:34--54.Google Scholar
- Toshie Ninomiya, Haruhiko Taira, Toshio Okamoto. "A personalised learning environment architecture for e-Learning" the IASTED International Conference Web-Based Education. (10):517--52. 2007. Google ScholarDigital Library
- Tzone-I. Wang, Kun-Te Wang and Yueh-Min Huang. "Using a style-based ant colony system for adaptive learning" Expert Systems with Applications. (5), 34(4):2449--2464. 2008 Google ScholarDigital Library
- Yao Jung Yangaand Chuni Wua. "An attribute-based ant colony system for adaptive learning object recommendation", Expert Systems with Applications (2008), doi: 10.1016/j.eswa. 2008.01.066.Google Scholar
- Xinyou Zhao, Toshio Okamoto. "A Device Independent System Architecture for Adaptive Mobile Learning.", The 8th IEEE International Conference on Advanced Learning Technologies (ICALT'08). 2008(7):23--25. Google ScholarDigital Library
- Ariel Pashtan, Shriram Kollipara and Michael Pearce. "Adapting Content for Wireless Web Services." Internet Computing. 2003(9), 7(5):79--85. Google ScholarDigital Library
- Chunhong Li, Guofu Feng, Wenzhong Li, Tiecheng Gu Sanglu Lu and Daoxu Chen. "A Resource-Adaptive Transcoding Proxy Caching Strategy." Frontiers of WWW Research and Development.2006:556--567. Google ScholarDigital Library
- Economides, A. A. Adaptive Mobile Learning. The Fourth IEEE International Workshop on Wireless, Mobile and Ubiquitous Technology in Education. 2006(11): 26--28. Google ScholarDigital Library
Index Terms
- Adaptation e-learning contents in mobile environment
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