DocumentCode :
2876263
Title :
Building a Learning Games Network in Cloud Learning Platform Based on Immigrant Education
Author :
Tu, Chien-Chih ; Chen, An-Pin
Author_Institution :
Inst. of Inf. Manage., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2011
fDate :
25-27 July 2011
Firstpage :
746
Lastpage :
750
Abstract :
As with rapid growth of the computer technology, E-learning systems usually require many hardware and software resources, There are numerous educational institutions that cannot offer such investments, and cloud learning platform is the best solution for them. This paper proposes a model of using cloud computing and learning network upon cloud-learning solutions development. The cloud-learning platform combined with different types of games is gradually noticed by people because it can enhance user learning motivation. This research has developed a Chinese language cloud-learning system for the new immigrant based on games mode, and investigated the properties of game-based cloud-learning system, expecting to help more and more new immigrants in Taiwan. The basic concept for designing the system is developing the learning games network using digital materials, which is applied to the cloud learning platform to attract the immigrant residents and assist them to improve Chinese language skills.
Keywords :
cloud computing; computer aided instruction; computer games; educational institutions; natural language processing; Chinese language cloud-learning system; cloud computing; computer technology; e-learning systems; educational institutions; game-based cloud-learning system; immigrant education; learning games network; Cloud computing; Computers; Electronic learning; Games; Materials; Social network services; Cloud-Learning Platform; Game-Based Learning; Immigrant Education; Social Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-758-0
Electronic_ISBN :
978-0-7695-4375-8
Type :
conf
DOI :
10.1109/ASONAM.2011.125
Filename :
5992669
Link To Document :
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