Determining the factors influencing of mobile learning

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.