Development of information systems in state universities, is needed in order to support more effective and efficient performance. This research was conducted to evaluate the factors that influence the intensity and behavior of users when using user systems. The sample are 240 users which were determined by using the convenience sampling method. The result confirms that the intensity of the use of the system by users is influenced by attitudes, subjective norms, and behavioral control. With the Theory of Acceptance Model (TAM) approach, the researchers also find that intensity is positively influenced by users' perceptions of system use and convenience. User intensity will increase their use of the system. In addition, the re-searchers found that the behavior in terms of using the system was also influenced by behavioral control and the user's perception of behavior in using the system. These results also show that the merging of the TAM and TPB models will have a greater impact on both the intensity and the actual behavior of users in the utilization of the system. The study has social implications for system developers, the user's psychological condition and system characteristics need to be considered in developing the system for future studies.

Mobile learning application now is considered a powerful application for learning and was adopted in universities in the period of Covid-19. After Covid-19 pandemic, university students have been allowed to use mobile learning systems, it is needed to ensure students’ intention to continuously use mobile learning for their learning activities or not. Thus, the purpose of this paper is to understand the main determinants that encourage the continuous use of mobile learning. To achieve that, we used the UTAUT-2 model to predict the main determinants of mobile learning acceptance. In our study, a quantitative technique was employed to collect the data. A hybrid approach SEM-ANN was applied to validate the research model. The findings indicated that performance expectancy and effort expectancy had a strong effect on students' attitudes towards mobile learning platforms. In addition, the results showed that performance expectancy and effort expectancy have a significant impact on students' continuous intention to use mobile learning platforms after Covid-19. In addition, hedonic motivation and habit had a positive effect on both students' attitudes and continuous intention to use mobile learning platforms. Moreover, Social influence factor and facilitating conditions had a significant effect on students' continuous intention to use mobile learning platforms after Covid-19.