علی خطیبی

Objective: This research was conducted to study the role of sleep quality moderators in the relationship between depression and treatment compliance.   Method : The research design was descriptive and correlational, and the research population included all patients with multiple sclerosis living in Tehran. 229 subjects with Multiple Sclerosis were selected in a convenient method, and they were asked to answer Morinsky's treatment compliance, Petersburg sleep quality, and Beck's depression questionnaires using the pencil and paper method. Results : Evidence of the predictive role of depressive symptoms for poor adherence to treatment in patients with multiple sclerosis was found. In addition, evidence of the predictive role of sleep quality in treatment adherence was found, but its mediating role in the relationship between depression and treatment adherence was not found. Conclusion : The findings indicated the importance of depression symptoms and sleep quality in the treatment compliance of multiple sclerosis patients. Considering the importance of treatment compliance in the prognosis of the disease, it is suggested that doctors consider this issue to formulate treatment plans to target cognitive and emotional problems parallel to the main treatment of the disease and thereby increase treatment compliance.  

Due to importance of instructor empowering of Technical and Vocational Education and Training (TVET) in Iran, this paper discussed effective challenges and mechanisms. Therefore, by investigating other studies and collecting data from a questionnaire from instructors of Iran’s TVET, key factors of challenges and mechanisms were identified and confirmed by using expert’s opinion. In the next step, the correlation and effectiveness of each factor were analyzed by Structural Equation Modeling (SEM). In the SEM, the Standardized Root Mean Square Residual (SRMR) test was used to assess the fit of the proposed model to the investigated data. The obtained results showed that all identified challenges and mechanisms are significant in the 95% level and have the SRMR values 0.095 and 0.048, respectively. Also, the results represented that the most challenges faced to the instructors were limited internet access, software issues, and limited accessibility features. The findings also suggest several mechanisms for strengthening the teacher empowerment system in the context of online education. These mechanisms include training for all, flexible learning options, and development of virtual content. In conclusion, providing training courses for online teachers, creating specific frameworks for online education processes, strategic planning and allocating the required financial resources are among the most important suggestions that can be deduced from this research.

The focus of this study is on lecturer’s use of online technology in the higher education context. Precisely, this study aims to understand the effect of personal innovativeness in IT (PI) in determining technology adoption behavior of lecturers in the higher education institutes in Sri Lanka. In this study, the variable of personal innovativeness in IT is integrated with the UTAUT framework and thereby the causal paths which effects VLE adoption intention of individuals is examined. Literature suggests that domain-specific innovativeness is a crucial factor in determining an individual’s adoption of technological innovations. Therefore, understanding the multifaceted effects of this factor along with other significant factors can help higher education institutes to effectively endorse online technology among lectures, generating productive payoffs in the long run. The quantitative method was used for data collection, which yielded # 1253 responses through the Question Pro online survey tool. The targeted respondents were the registered lecturers in higher education institutes of Sri Lanka, selected based on simple random sampling method. Structural equation modelling (SEM) procedure was employed for data analysis using IBM SPSS (ver.21) and AMOS (Ver.26). The structural path analysis resulted in partial mediation, confirming that “lecturer’s innovativeness in IT” exerts its influence on VLE adoption intention by altering the mediators set in the study. Further, the study validated a unique set of factors that determine lecturer’s acceptance of VLE in a higher education setting.