DocumentCode :
3078233
Title :
A Quantitative Analysis of the Reuse of Mobile Assisted Language Learning Resources: The Case of Mobile2Learn Repository
Author :
Zervas, Panagiotis ; Sampson, Demetrios G.
Author_Institution :
Dept. of Digital Syst., Univ. of Piraeus, Piraeus, Greece
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
36
Lastpage :
40
Abstract :
Language Learning has been a primary field of application for mobile learning. This approach is widely known as Mobile Assisted Language Learning (MALL). On the other hand, during the last decade a number of Open Educational Resources (OERs) initiatives have been emerged worldwide. These initiatives have also influenced the field of Technology-enhanced Language Learning (TELL) and some Learning Object Repositories (LORs) have been recently developed towards supporting sharing and re-use of digital language learning resources. However, these LORs do not put emphasis on the re-use of MALL resources, despite the fact that, open access and reuse is even more important in MALL than other fields of application since the development of new MALL resources and practices is a costly process due to the diverse technical particularities of the different types of mobile devices. In previous work, a LOR that aims to support open access and re-use to MALL resources and courses has been proposed, namely the Mobile2Learn Repository. In this paper, we conduct a quantitative analysis of the reuse of MALL resources stored in Mobile2Learn Repository and we discuss the factors that can influence and possible enhance MALL resources reuse in Mobile2Learn Repository.
Keywords :
computer aided instruction; mobile computing; LOR; MALL approach; Mobile2Learn repository; OER initiative; TELL; learning object repository; mobile assisted language learning resource; open educational resource; quantitative analysis; technology-enhanced language learning; Communities; Correlation; Correlation coefficient; Measurement; Mobile communication; Mobile handsets; Statistical analysis; Learning Objects; Mobile Assisted Language Learning; Open Access; Quantitative Analysis; Reuse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ICALT.2013.16
Filename :
6601859
Link To Document :
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