Customization and use of digital storytelling in providing online career counseling services to students with physical-motor disabilities: A mixed study.

Nowadays, students with disabilities suffer from various problems in entering the labor market and they need to receive career guidance services. This study was carried out in two parts of quantitative and qualitative with multiple purposes as a mixed design. In the qualitative part, challenges and problems of students in receiving career guidance and counseling were investigated and in the quantitative part, the effect of online career counseling on decreasing the challenges in receiving career counseling services by students with disabilities was studied. Moreover, in the quantitative part, the effect of online counseling on improving academic buoyancy, employability, and mental health of people with disabilities was investigated and its comparison with online career counseling based on digital storytelling was carried out. The qualitative part included 17 experts and students with disabilities and the quantitative part included 95 students with disabilities that were randomly assigned into experimental (i.e. digital storytelling and online career counseling) and control groups. The results of the qualitative part showed that students with disabilities suffer from various individual and social problems in receiving career counseling services. The results of the quantitative part showed that online career counseling with and without digital storytelling can solve the challenges against people with disabilities in receiving career guidance services to some extent. In the second part of quantitative results, it was indicated online career counseling with and without digital storytelling has a significant effect on academic buoyancy, employability, and mental health of students with disabilities and the use of digital storytelling in online counseling led to higher efficiency in employability and mental health.

Consequences of teleworking using the internet among married working women: Educational careers investigation.

Nowadays, women constitute a considerable part of employees in the society that according to the multiple roles that they play (mother, wife, employee), more flexibility is needed in their career affairs. This study aimed to investigate the effects of teleworking using the Internet on married working women working in educational settings (advantages and disadvantages of teleworking). For this purpose, this study includes qualitative and quantitative parts with samples including 16 and 404 married women working in educational settings (i.e. school and university). In the qualitative part that interviews were conducted with 16 married women who were selected as experts in educational occupations, the findings showed that teleworking brings six major advantages for women. These six advantages are economic, psychological, health, family, organizational, and educational. Moreover, when the qualitative part was ended, the researchers prepared a questionnaire according to the findings and selected 404 married and working women in educational settings to rate advantages and disadvantages of teleworking during Covid-19 pandemic and according to qualitative results, teleworking has disadvantages such as role conflict, lack of face-to-face position, and reworking. The quantitative results showed that participants' feedback was positive in six advantages and two variables of family and psychological were the most important variables among teleworking advantages (p < .05). According to the findings of this study, it can be concluded that teleworking has a considerable effect on family cohesion and psychological security of women. Therefore, according to the current status of the society (covid-19), facilities should be considered for married women.

Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system.

We employed a new approach in the field of social sciences or psychological aspects of teaching besides using a very common software package that is Statistical Package for the Social Sciences (SPSS). Artificial intelligence (AI) is a new domain that the methods of its data analysis could provide the researchers with new insights for their research studies and more innovative ways to analyze their data or verify the data with this method. Also, a very significant element in teaching is teacher motivation that is the trigger that pushes the teachers forward, depending on some internal and external factors. In the current study, seven research questions were designed to explore different aspects of teacher motivation, and they were analyzed via SPSS. The current study also compared the results by using an adaptive neuro-fuzzy inference system (ANFIS). Due to the similarity of ANFIS to humans' brain intelligence, the results of the current study could be similar to humans regarding what happens in reality. To do so, the researchers used the validated teacher motivation scale (TMS) and asked participants to fill the questionnaire, and analyzed the results. When the inputs were added to the ANFIS system, the model indicated a high accuracy and prediction capability. The findings also illustrated the importance of the tuning model parameters for the ANFIS method to build up the AI model with a high repeatability level. The differences between the results and conclusions are discussed in detail in the article.