International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 119 - Number 17 |
Year of Publication: 2015 |
Authors: Nazir Ahmad Suhail |
10.5120/21160-4190 |
Nazir Ahmad Suhail . A Multilevel Systematic Approach for Identification of Mobile Learning Multimedia in Low Bandwidth Environment. International Journal of Computer Applications. 119, 17 ( June 2015), 27-33. DOI=10.5120/21160-4190
The widespread availability and ubiquity of mobile technology to enhance accessibility and communication has resulted into its usage in different educational contexts in developing countries. On the other hand, the mobile devices are facing some critical challenges such as low bandwidth environment, in particular, among others that significantly impede the quality of service, giving a way forward to designing the appropriate learning material. In this work, we propose a multilevel systematic approach for analysis and identification of mobile learning multimedia in the context of low bandwidth environment. The criteria used in the multilevel framework was based on four phases: visual media database, very commonly used visual media, in depth analysis of selected media, and finally identification of mobile learning low bandwidth visual media. The investigation results concluded with MP4 (video), MP3 (audio), and JPEG (graphic) as mobile learning visual media formats, respectively, compatible with the challenges of low bandwidth environment, a peculiar state associated with many developing countries.