درخت حوزه‌های تخصصی

The purpose of this research was to identify the skills and abilities learners need in a digital learning environment during the Corona crisis. The research approach was applied in terms of objective and the data collected using the mixed-method approach. In the first part, using a qualitative approach and a document search method, 33 components (related to the skills and abilities of e-learners) were identified, and then19 components out of 33 with the highest frequencies were selected. The target population for this study included all MA students of the University of Tehran who had the experience of studying in an online learning environment, then 374 individuals were selected as a sample using the random sampling method. In the second part, using a quantitative approach and a descriptive-analytical research method, the questionnaire developed by the researcher relies on 19 components identified in the previous step. The experts' opinions proved the validity of the questionnaire—moreover, its reliability in 0.94 (Cronbach alpha). The data was analyzed by SPSS and LISREL, and the results of the data analysis demonstrate that the proposed model is a good fit. Among the 19 components surveyed, all are above average. Finally, the results indicated that the most critical components from e-learners’ view which more critical in digital learning were effective communication, use of the computer, active learning, learning skills, resilience, motivation toward e-learning, emotional intelligence, interaction with e-learning system, self-direct learning, time management, flexibility and adaptability, critical thinking, creativity, asking someone for help, leadership skills, stress management, self-organized, cognitive skills and self-assessment

The aim of this study was to identify barriers to the implementation and use of Internet banking in Keshavarzi Bank. Due to the fact that qualitative data was first collected through study and interviews with experts, at different stages, different tools were used to collect the required data. In the first stage, data was collected through interviews with experts and systematic review. In the second stage, a questionnaire related to the content analysis method was evaluated. The statistical population of the study was 20 experts with master's and doctoral degrees and high work experience in banking management who were selected based on purposive sampling. The results show that, after reviewing the background and interviewing with 20 experts, 20 open source codes were identified by using theme analysis. The results of qualitative content analysis showed that 20 open source codes were important enough. Convergent validity was performed and the fit of the model was confirmed. However, it was found that the most important priorities were the inequality of the Internet banking system in the country's banking network, unpreparedness of the national information network, technological infrastructure problems used in websites, negative customer experience and their low trust, and fake and misleading sites. Banks should regularly update and retain their customers' communication gateway systems such as mailbox and digital and online space, to make customers more willing to receive Internet banking services in the future.