Open AccessSYSTEM QUALITY CHARACTERISTICS FOR SELECTING MOBILE LEARNING APPLICATIONS
Author(s) -
Mohamed Sarrab,
Hafedh Al-Shihi,
Bader Al-Manthari
Publication year - 2015
Publication title -
turkish online journal of distance education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.374
H-Index - 22
eISSN - 1309-4564
pISSN - 1302-6488
DOI - 10.17718/tojde.83031
Subject(s) - computer science , flexibility (engineering) , quality (philosophy) , process (computing) , m learning , set (abstract data type) , educational technology , domain (mathematical analysis) , active learning (machine learning) , mobile device , knowledge management , artificial intelligence , human–computer interaction , world wide web , mathematics education , psychology , philosophy , epistemology , mathematical analysis , statistics , mathematics , programming language , operating system
The majority of M-learning (Mobile learning) applications available today are developed for the formal learning and education environment. These applications are characterized by the improvement in the interaction between learners and instructors to provide high interaction and flexibility to the learning process. M-learning is gaining increased recognition and adoption by different organizations. With the high number of M-learning applications available today, making the right decision about which, application to choose can be quite challenging. To date there is no complete and well defined set of system characteristics for such M-learning applications. This paper presents system quality characteristics for selecting M-learning applications based on the result of a systematic review conducted in this domain.
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