z-logo
open-access-imgOpen Access
Propose a New Quality Model for M-Learning Application in Light of COVID-19
Author(s) -
Ahmad Althunibat,
Feras Altarawneh,
Raneem Dawood,
Mohammed Amin Almaiah
Publication year - 2022
Publication title -
mobile information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.346
H-Index - 34
eISSN - 1875-905X
pISSN - 1574-017X
DOI - 10.1155/2022/3174692
Subject(s) - computer science , adaptation (eye) , flexibility (engineering) , quality (philosophy) , m learning , covid-19 , space (punctuation) , distance education , multimedia , human–computer interaction , artificial intelligence , knowledge management , mobile device , mathematics education , world wide web , infectious disease (medical specialty) , disease , medicine , philosophy , statistics , mathematics , epistemology , pathology , operating system , physics , optics
The coronavirus disease (COVID-19) prevented millions of students around the world from receiving their lessons, because of the closure of thousands of schools. The new COVID-19 global epidemic invaded the barriers of time and space. Using mobile phones in education is a new form of the distance learning system. M-learning is characterized by many characteristics, the most important of which are providing an interactive educational environment, flexibility in space and time, better adaptation to individual needs, acquisition of knowledge, interactive effectiveness, and developing self-learning skills for students. The main aim of this paper is to suggest a quality model for M-learning applications for children which contains the most common characteristics of M-learning, which must be taken into account when designing M-learning applications. Through previous studies related to the quality model for M-learning applications, we proposed two quality characteristics, technical and pedagogical. We proposed 8 subcharacteristics with their features following the structure of the IOS/IEC 912 and DeLone and McLean IS model to find the effect of technical and pedagogical factors on user satisfaction with M-learning applications for children. Results show that the proposed model can be useful and effective to ensure the development of high-quality M-learning applications.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom