درخت حوزه‌های تخصصی

Purpose: Mentoring creates a competitive advantage for the organization in compared to the competing organizations. As a result, the aim of this study was identifying the dimensions of mentoring for school principals of Tehran province. Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative from type of synthesis research and content analysis. The research population was articles related to mentoring in domestic and foreign valid databases in the 2000 to 2023 years and academic experts and officials with experience in education of Tehran province in the 2021-2022 academic year, which number of 18 articles and 17 experts and officials of education according to the principle of theoretical saturation were selected as a sample with the purposive sampling method. Data were collected by taking notes from articles and semi-structured interviews with academic experts and education officials and were analyzed by using thematic analysis method in MAXQDA-V12 analysis software. Findings: The findings showed that based on the review of articles and interviews with experts and officials, mentoring for school principals of Tehran province had 81 sub-themes in 16 main themes of knowledge, attitude, skill, participation-oriented, focus, organization, support, educational leadership, educational communication, development of inherent skills, development of communication skills, development of technical skills, development of environmental skills, innovative performance, competitive performance and educational performance. Finally, a themes network of mentoring for school principals of Tehran province was drawn. Conclusion: According to the findings of this study, can be taken an effective step in order to implement the school principals mentoring of Tehran province through the realization of the identified sub-themes and main themes.

Purpose: Students with social anxiety have many problems in the cognitive emotion regulation. As a result, the aim of this study was to comparison the effectiveness of dialectical behavior therapy and transactional behavior analysis on the cognitive emotion regulation of students with social anxiety. Methodology: This research was a semi-experimental with a pre-test, post-test and one-month follow-up design with a control group. The research population was female senior high school with social anxiety in governmental schools of Ashkhane city in the academic years of 2022-2023. In this study, 45 people were selected by purposive sampling method and randomly replaced in three equal groups. Each of the experimental groups was trained in 10 sessions of 90 minute separately and as a group with dialectical behavior therapy and transactional behavior analysis methods, and the control group remained on the waiting list for training. The research tool was Connor et al social anxiety inventory (2000) and Garnefski and Kraaij cognitive emotion regulation questionnaire (1996), and the data obtained from their implementation were analyzed by methods of analysis variance with repeated measure and Bonferroni post hoc test in SPSS version 25 software. Findings: The findings showed that there was a significant difference between the groups in terms of improving cognitive emotion regulation of students with social anxiety, and both methods of dialectical behavior therapy and transactional behavior analysis in compared to the control group significantly improved their cognitive emotion regulation in the post-test and follow-up stages (P<0.05). ). Also, there was no significant difference between the both methods of dialectical behavior therapy and transactional behavior analysis in improve of cognitive emotion regulation of students with social anxiety (P>0.05). Conclusion: According to the results of this study, therapists, counselors, and psychologists can use dialectical behavior therapy and transactional behavior analysis along with other treatment methods to improve the cognitive emotion regulation of students.

Purpose: Digital literacy fosters social advantages such as chances to interact with others and forge and develop social relationships by enabling online activities and leading to online social capital development. This study investigated the relationship between digital literacy and online social capital. Methodology: The research method is quantitative, descriptive, cross-sectional, and correlational. Participants comprised 754 (520 female and 234 male) students of Tabriz universities during the months of June and August 2023, who were randomly selected from among those willing to cooperate and responded to the Digital Literacy Questionnaire (Ng, 2012) and Online Social Capital Questionnaire (Duradoni et al., 2022). Data were analyzed using confirmatory factor analysis and structural equation modelling with SPSS version 27 and Amos Graphic version 24 software. Findings: Utilizing confirmatory factor analysis, the factorial structure of the research instruments was examined. The digital literacy questionnaire's three-factor structure and the online social capital questionnaire's two-factor structure were confirmed. The GFIs were higher than 0.9, and the RMSEA was below 0.08. The fit indices indicate that the structural model describing the relationship between digital literacy and online social capital is supported. The standard weights of the confidence and connectedness dimensions of the relationship between digital literacy and online social capital were 0.42 and 0.48, respectively (p<0.05). Conclusion: Digital literacy encompasses social, cognitive, and emotional skills in addition to technical ones. Therefore, digital literacy is multidimensional and lays the foundation for a new, constantly evolving style of online relationships and interpersonal connections. Higher levels of digital literacy and its components provide individuals with the ability and opportunity to convert their network of relationships into other forms of capital, obtain and provide support in the virtual space, and engage in emotional exchange, group leisure time, counselling, and collaboration. These competencies form the basis of online social capital.