درخت حوزه‌های تخصصی

Purpose: This study examines the influence of emotional intelligence (EI) and social competence (SC) on career readiness among senior undergraduate students. With the evolving demands of the professional world, understanding these attributes provides essential insights into preparing students for successful career integration. Methodology: A cross-sectional design was utilized involving 330 senior undergraduate students selected based on the Morgan and Krejcie table for appropriate sample size. The Career Readiness Scale (CRS), Social Competence Inventory (SCI), and Emotional Competence Inventory (ECI) were employed to measure the respective constructs. Data analysis included descriptive statistics, Pearson correlation, and linear regression analyses performed using SPSS version 27. Findings: Descriptive statistics indicated average scores of 3.45 (SD = 0.88) for career readiness, 4.12 (SD = 0.75) for social competence, and 3.98 (SD = 0.81) for emotional intelligence. Pearson correlation results revealed significant positive relationships between career readiness and social competence (r = 0.61, p < 0.01), and between career readiness and emotional intelligence (r = 0.56, p < 0.01). Linear regression analysis demonstrated that these variables collectively accounted for 38% of the variance in career readiness (R² adjusted = 0.38, F = 14.36, p < 0.01). Conclusion: The findings highlight the significant predictive power of both emotional intelligence and social competence on career readiness in undergraduate students. These competencies are crucial for educational and professional development programs aiming to enhance students' transition into the workforce.

Purpose: The size of a school is a crucial factor influencing educational outcomes, yet its impact on student participation and the sense of community remains complex and multifaceted. This study aims to explore how different school sizes affect these dimensions, focusing on qualitative aspects of student experiences and institutional dynamics to provide a deeper understanding of the educational landscape. Methodology: A qualitative research design was adopted, utilizing semi-structured interviews to collect data from 29 participants, including students, teachers, and school administrators from various sized schools. Theoretical saturation was reached to ensure a comprehensive exploration of the themes. Data were analyzed using NVivo software to facilitate thematic analysis and ensure systematic handling of the interview transcripts. Findings: Five main themes were identified: Student Engagement, Sense of Community, Learning Environment, Administrative Influence, and Challenges and Barriers. Sub-themes such as Academic Participation, Support Networks, Classroom Dynamics, and Policy Making illustrated the specific ways in which school size impacts educational practices and student perceptions. Smaller schools were generally found to foster a stronger sense of community and engagement, whereas larger schools provided more diverse opportunities but faced challenges in maintaining a personalized learning environment. Conclusion: The study concludes that school size significantly influences the educational environment, affecting everything from student engagement to administrative strategies. While smaller schools excel in creating a cohesive community, they often struggle with resource limitations and opportunity diversity. Larger schools, on the other hand, offer extensive resources and opportunities but may lack the close-knit community feel that enhances student engagement and sense of belonging.

Purpose: Given the importance of proper implementation of the primary mathematics curriculum, this study aimed to identify the effective contextual and moderating components in the implementation of the primary mathematics curriculum. Methodology: This study was applied in purpose and qualitative in approach. The research population consisted of expert teachers in the field of primary mathematics curriculum in Tehran during the academic year 2020-2021, from whom 16 were selected based on theoretical saturation using purposive and snowball sampling methods. The research tool was a semi-structured interview, the face validity of which was confirmed by experts, and its reliability was obtained with a Cohen’s Kappa coefficient of 0.86. The data were analyzed using thematic analysis in MAXQDA-2020 software. Findings: The findings revealed that in the model of effective components in the implementation of the primary mathematics curriculum, for contextual components, 17 basic themes were identified under 4 organizing themes including social, cultural, economic, and structural, and for moderating components, 20 basic themes were identified under 3 organizing themes including advantages of learning mathematics, barriers to learning mathematics, and facilitators of learning mathematics. Ultimately, a model of effective contextual and moderating components in the implementation of the primary mathematics curriculum was illustrated. Conclusion: According to the results of this study and considering the effective contextual and moderating components in the implementation of the primary mathematics curriculum, it is necessary for specialists and curriculum planners to utilize strategies compatible with the identified components to improve the educational system.

Purpose: The primary objective of this article is to identify the dimensions and components for the enhancement of virtual educational leadership in the Islamic Azad Universities of Tehran province using thematic analysis. Methodology: The research method employed is mixed (qualitative-quantitative). In addition to document analysis, the thematic analysis technique with MAXQDA12 software was used to identify factors and components. The study population included all faculty members with at least an assistant professorship in educational management, higher education management, and educational technology, as well as administrators of Islamic Azad Universities, with theoretical saturation achieved after 15 interviews. Ultimately, base, organizing, and comprehensive themes were extracted, and in the quantitative section, structural equation modeling was used to determine the impact and ranking of the dimensions and components. Findings: Based on semi-structured interviews, four dimensions (knowledge of educational leadership in virtual environments, performance management and coaching in virtual environments, team leadership ability in virtual environments, ethical behaviors in virtual environments) and 24 components (organizing themes) were identified for virtual educational leadership in the Islamic Azad Universities of Tehran province. Subsequently, based on a researcher-made questionnaire, it was determined that the dimension of ethical behaviors in virtual environments with a coefficient of 0.905, team leadership ability in virtual environments with a coefficient of 0.879, performance management and coaching in virtual environments with a coefficient of 0.877, and knowledge of educational leadership in virtual environments with a coefficient of 0.805 are prioritized from first to fourth, respectively. Conclusion: The findings underscore the significance of adaptability, digital proficiency, and effective communication as pivotal traits for successful virtual leaders. Notably, the study also sheds light on the potential for gender to influence leadership effectiveness in virtual environments, with female leaders possibly having an edge in fostering collaboration and inclusivity.

Purpose: The purpose of this study was to investigate the policy-making processes for online education at the primary level, focusing on the objectives, content, strategies, resources, and assessment practices. It aimed to identify the challenges and opportunities within these policies to enhance the effectiveness of online education. Methodology: This cross-sectional survey study involved 384 educators, administrators, and policymakers in the primary education sector. Data were collected via a researcher-made questionnaire to gather comprehensive insights into the participants' perceptions of online education policies. The questionnaire was validated through a pilot study, and data analysis was conducted using SPSS and SMART-PLS for quantitative responses and thematic analysis for qualitative responses. Confirmatory factor analysis and Cronbach's alpha coefficients were utilized to assess the reliability and validity of the constructs within the questionnaire. Findings: The findings revealed a general consensus on the importance of clearly defined objectives, engaging content, and effective strategies for the successful implementation of online education policies. Challenges identified include the need for better technology infrastructure, financial resources, and professional development for educators. The analysis also highlighted the significance of affective and psychomotor domains in online education, which are often overlooked in policy making. Participants expressed a desire for more innovative and interactive online learning environments to enhance student engagement and learning outcomes. Conclusion: The study concludes that while there are significant opportunities to enhance the quality and effectiveness of online education through policy improvements, there are also considerable challenges that need to be addressed. These include the integration of affective and psychomotor learning goals, the development of comprehensive support systems for educators, and the improvement of technology and financial infrastructures. Policymakers and educators must work collaboratively to refine online education policies, ensuring they are inclusive, effective, and capable of meeting the diverse needs of primary education students.