Multimedia augmented m-learning: Issues,trends and open challenges |
| |
| Institution: | 1. Faculty of Computer Science and Information Technology, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;2. Center for Mobile Cloud Computing Research, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;3. Xi''an Jiaotong Liverpool University, Suzhou, China;1. Faculty of Computer Science and Information Technology, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;2. Center for Mobile Cloud Computing Research, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia;3. International Business School Suzhou, Xi''an Jiaotong Liverpool University, Suzhou, China;1. Department of Management Information Systems, College of Management, Central Taiwan University of Science and Technology, No. 666, Buzih Road, Taichung City 40601, Taiwan, ROC;2. Department of Computer Science and Information Management, School of Business, Soochow University, No. 56 Kueiyang Street, Section 1, Taipei 100, Taiwan, ROC;3. Department of Information Technology, SinoPac Bank, 3F., No.151, Sec. 6, Civic Blvd., Xinyi Dist., Taipei 10566, Taiwan, ROC;1. Electronics and Computer Science, University of Southampton, Southampton, UK;2. Xi''an Jiaotong Liverpool University, Suzhou, China;1. Pico Digital, 8880 Rehco Road, San Diego, CA 92121, USA;2. University of Bradford Faculty of Management and Law, Emm Lane, Bradford, West Yorkshire BD9 4JL, UK |
| |
| Abstract: | The advancement in mobile technology and the introduction of cloud computing systems enable the use of educational materials on mobile devices for a location- and time-agnostic learning process. These educational materials are delivered in the form of data and compute-intensive multimedia-enabled learning objects. Given these constraints, the desired objective of mobile learning (m-learning) may not be achieved. Accordingly, a number of m-learning systems are being developed by the industry and academia to transform society into a pervasive educational institute. However, no guideline on the technical issues concerning the m-learning environment is available. In this study, we present a taxonomy of such technical issues that can impede the life cycle of multimedia-enabled m-learning applications. The taxonomy is devised based on the issues related to mobile device heterogeneity, network performance, content heterogeneity, content delivery, and user expectation. These issues are discussed, along with their causes and measures, to achieve solutions. Furthermore, we identify several trending areas through which the adaptability and acceptability of multimedia-enabled m-learning platforms can be increased. Finally, we discuss open challenges, such as low complexity encoding, data dependency, measurement and modeling, interoperability, and security as future research directions. |
| |
| Keywords: | Mobile learning Cloud learning Multimedia-enabled learning Personalized learning |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
