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Propose a New Quality Model for M-Learning Application in Light of COVID-19

Ahmad Althunibat, Feras Altarawneh, Raneem Dawood, Mohammed Amin Almaiah

2022Mobile Information Systems24 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceAdaptation (eye)Flexibility (engineering)Quality (philosophy)M-learningCoronavirus disease 2019 (COVID-19)Space (punctuation)Distance educationMultimediaHuman–computer interactionArtificial intelligenceKnowledge managementMobile deviceMathematics educationWorld Wide WebInfectious disease (medical specialty)DiseaseMedicinePhysicsPathologyStatisticsPhilosophyEpistemologyOpticsMathematicsOperating systemMobile Learning in EducationTechnology Adoption and User BehaviourImpact of Technology on Adolescents
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