JOURNAL ARTICLE

Adaptive Multimedia Learning Delivered In Mobile Cloud Computing Environment

Aleksandar KaradimceDanco Davčev

Year: 2013 Journal:   Zenodo (CERN European Organization for Nuclear Research) Pages: 62-67   Publisher: European Organization for Nuclear Research

Abstract

Abstract: Abstract— The process of integrating multimedia files, such as different types of learning objects (video, images, audio, animation, etc.) to m-learning systems requires more computational resources than mobile devices can provide. Considering mobile device limitations, such as storage, computing power and bandwidth, we propose a mobile cloud computing in order to deliver adaptive multimedia learning courses to students. In this paper, we propose a PaaS cloudbased framework, which offloads the process of dynamically adapting the multimedia content to the context-aware mobile learning environment. Hence, the student is provided with multimedia that is tailored to his or her cognitive style and the content is adapted according to context – aware network conditions.

Keywords:
Computer science Multimedia Cloud computing Mobile device Mobile computing Animation Context (archaeology) Mobile cloud computing Mobile Web Mobile technology World Wide Web Computer network Operating system

Metrics

8
Cited By
1.68
FWCI (Field Weighted Citation Impact)
15
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Remote Desktop Technologies
Physical Sciences →  Computer Science →  Hardware and Architecture
Multimedia Communication and Technology
Social Sciences →  Social Sciences →  Sociology and Political Science
Mobile Learning in Education
Physical Sciences →  Computer Science →  Information Systems
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