Multimedia augmented m-learning: Issues, trends and open challenges
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 le...
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| Format: | Article |
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Elsevier
2016
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| _version_ | 1825721167491629056 |
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| author | Yousafzai, Abdullah Chang, Victor Gani, Abdullah Noor, Rafidah Md |
| author_facet | Yousafzai, Abdullah Chang, Victor Gani, Abdullah Noor, Rafidah Md |
| author_sort | Yousafzai, Abdullah |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:46:15Z |
| format | Article |
| id | um.eprints-18756 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:46:15Z |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-187562018-10-12T01:53:58Z http://eprints.um.edu.my/18756/ Multimedia augmented m-learning: Issues, trends and open challenges Yousafzai, Abdullah Chang, Victor Gani, Abdullah Noor, Rafidah Md QA75 Electronic computers. Computer science 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. Elsevier 2016 Article PeerReviewed Yousafzai, Abdullah and Chang, Victor and Gani, Abdullah and Noor, Rafidah Md (2016) Multimedia augmented m-learning: Issues, trends and open challenges. International Journal of Information Management, 36 (5). pp. 784-792. ISSN 0268-4012, DOI https://doi.org/10.1016/j.ijinfomgt.2016.05.010 <https://doi.org/10.1016/j.ijinfomgt.2016.05.010>. http://dx.doi.org/10.1016/j.ijinfomgt.2016.05.010 doi:10.1016/j.ijinfomgt.2016.05.010 |
| spellingShingle | QA75 Electronic computers. Computer science Yousafzai, Abdullah Chang, Victor Gani, Abdullah Noor, Rafidah Md Multimedia augmented m-learning: Issues, trends and open challenges |
| title | Multimedia augmented m-learning: Issues, trends and open challenges |
| title_full | Multimedia augmented m-learning: Issues, trends and open challenges |
| title_fullStr | Multimedia augmented m-learning: Issues, trends and open challenges |
| title_full_unstemmed | Multimedia augmented m-learning: Issues, trends and open challenges |
| title_short | Multimedia augmented m-learning: Issues, trends and open challenges |
| title_sort | multimedia augmented m learning issues trends and open challenges |
| topic | QA75 Electronic computers. Computer science |
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