Abstract:
The huge and rapid development of mobile devices as well as information and communication
technology has resulted for modern technology that is Mobile Learning. The prevalence of mobile
learning is becoming commonplace day by day in the whole world. M-learning has become an
excellent medium of learning. Mobile devices is for Mobile learning that is constantly growing
technology and mobile devices have successfully mixed into people's lives, and the use of mlearning is being used more frequently. Educational institutions all over the world are using
connectivity, location- based learning, personalized learning, social interaction, and movability,
increasing interest in creating mobile learning (ML) environments due to the benefits of
affordability and greater ubiquity. Therefore, it is crucial to determine and explore the factors that
can influence the user's interest to use m-learning and the results of its use can affect the nation
and its development of any country. Empirical tests have been carried out using the proposed
framework especially using questionnaires from students. Its results revealed that effort
expectancy, performance expectancy, belief expectancy, self-management of learning, system
efficacy, and social influence are significant determinants of m-learning assumption. These
findings have important implications for both research and practice in the field of education.
Moreover, this study sheds light on the reasons why the use of e-learning has not been adopted
before. Smart PLS can identify user satisfaction, loyalty, behavioral, intentions, and practical
behavior by using smart PLS, and two other models are used, which are ASE and ISS, with which
the given dataset is analyzed.
