DocumentCode :
732189
Title :
A quality evaluation framework for mobile learning applications
Author :
Baloh, Matevz ; Zupanc, Kaja ; Kosir, Domen ; Bosnic, Zoran ; Scepanovic, Snezana
Author_Institution :
Fac. for Comput. & Inf. Sci., Univ. of Ljubljana, Ljubljana, Slovenia
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
280
Lastpage :
283
Abstract :
The field of mobile learning is in the process of rapid growth. While we can easily identify characteristics, which separate mobile learning from other forms of learning, a review of the academic field yielded few accepted standards, frameworks and systems, which application developers can reference when building applications. The focus of this paper is to continue the research into quality assessment for mobile learning applications. The paper proposes and analyses a quality assessment framework for mobile learning applications. The framework was adapted from an existing framework, which was developed for mobile learning environments, which support the mentor - learner model of study. The adapted framework is intended to be used with self-study applications - applications, which do not rely on the presence of a teacher or mentor. This framework is evaluated with respect to given quality criteria on a set of 21 mobile learning applications. The resulting ratings are evaluated using Pearson correlation and the Apriori algorithm to discover correlation between evaluated attributes.
Keywords :
computer aided instruction; mobile computing; Pearson correlation; academic field; apriori algorithm; mentor-learner model; mobile learning applications; quality assessment; quality criteria; quality evaluation framework; self-study applications; teacher; Correlation; Embedded computing; IEEE Catalogs; Mobile communication; Quality assessment; Software quality; M-learning; Mobile applications; Mobile self-study applications; Quality evaluation framework; Software quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
Type :
conf
DOI :
10.1109/MECO.2015.7181923
Filename :
7181923
Link To Document :
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