DocumentCode :
146621
Title :
Mobile Learning with Google App Engine
Author :
Tabot, Arreytambe ; Hamada, Mohamed
Author_Institution :
Dept. of Comput. Sci., African Univ. of Sci. & Technol., Abuja, Nigeria
fYear :
2014
fDate :
23-25 Sept. 2014
Firstpage :
63
Lastpage :
67
Abstract :
The rapid pace of change being witnessed globally in the Information and Communication Technology sector as well as the skyrocketing costs in getting basic education needs met have forced many to seek for alternative ways of meeting these needs. Recent innovations in distance education opened up the pathway to new and dynamic ways of learning through Massively Open Online Courses (MOOCs) aimed at providing unlimited participation and open access via the Web. In addition to this, the mobility of today´s learners and ubiquity of smart phones has seen a surge in research centered on ways of providing contextualized forms of learning that meet the triad Anywhere, Anytime, and Anyone. To this effect there have been growing numbers of research publications within the ambits of Mobile Native Apps, Mobile Web Apps, Hybrid Apps and how they are being used to facilitate learning. But with each of these solutions comes the issue of scalability and how this can be overcome to meet the ever increasing demands of enthusiastic learners around the globe. In this paper, we attempt to provide a cloud computing solution for mobile learning that will be able to handle any demands of scale, collaboration and learning needs.
Keywords :
cloud computing; courseware; distance learning; mobile computing; search engines; Google application engine; MOOC; Massively Open Online Courses; cloud computing; collaboration needs; contextualized learning forms; distance education; education needs; hybrid apps; information and communication technology sector; learning needs; mobile Web apps; mobile learning; mobile native apps; open access; research publications; scalability issue; Cloud computing; Educational institutions; Engines; Google; Mobile communication; Mobile handsets; Servers; cloud computing; mobile computing; mobile learning; web app;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Multicore/Manycore SoCs (MCSoc), 2014 IEEE 8th International Symposium on
Conference_Location :
Aizu-Wakamatsu
Type :
conf
DOI :
10.1109/MCSoC.2014.18
Filename :
6949454
Link To Document :
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