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

Table 1

Related work.

Literature	Purpose of the study	Findings
Papadakis and Kalogiannakis (2017) [3]	Conducted quantitative study with 275 undergraduate Jordanian students at the University of Jordan to explore the students’ acceptance of mobile information systems	Pointed out that trust, perceived security, perceived ease of use, and perceived usefulness are vital factors for successful adoption and implementation of the M-learning system
Almaiah and Mulhem (2019) [4]	Proposed a new model to identify the most important factors that could motivate students to accept and use the M-learning system	They identified 4 success factors of mobile learning, which were subdivided into the following categories: (i) innovative factors (security, protection, similarity, relatively favorable position, and trust), (ii) hierarchical components (protection from change and technological availability), (iii) social elements, and (iv) quality variables
Nizam Ismail et al. (2020) [6]	Inspected the impact of various components on M-learning applications improvement at three fundamental phases of use (static stage, communication stage, and exchange stage)	The outcomes demonstrated that the main variables identified with users’ insights to contemplate when creating M-learning in three phases were framework similarity, security, data quality, mindfulness, seen practical advantage, self-viability, accessibility of assets, and perceived trust
Almaiah and Alismaiel (2019)[8]	Conducted quantitative study with 275 undergraduate Jordanian students at the University of Jordan to explore the students’ acceptance of mobile information systems.	Pointed out that trust, perceived security, perceived ease of use, and perceived usefulness are vital factors for successful adoption and implementation of the M-learning system.
Almaiah et al. (2016) [9]	Developed three systems for M-learning development based on quality factors derived from the updated DeLone and McLean information system success model.	They uncovered apparent data quality, perceived similarity, trust, a level of awareness, accessibility of assets, self-viability, and security, which are the primary inspirations of student’s acknowledgment of the M-learning framework.
Alrasheedi and Capretz (2020) [1]	Proposed a hybrid quality model for M-learning based on combining the updated DeLone and McLean information system success model (DL&ML) with TAM model to examine the effect of 10 quality dimensions on M-learning system acceptance.	They revealed that the most critical factors relating to increasing the students’ acceptance were content design quality, functionality, user-interface design, learning content quality, accessibility, responsiveness, personalization, and interactivity.