درخت حوزه‌های تخصصی

Purpose: The objective of this study was to identify and delineate the competency model dimensions essential for faculty members at Farhangian Universities in Tehran. This research aimed to explore the specific competencies necessary to enhance the effectiveness and professional development of faculty in an educational setting. Methodology: This qualitative study employed semi-structured interviews to gather data from 29 faculty members across various departments at Farhangian Universities in Tehran. Participants were selected using purposive sampling to ensure a diverse representation of experiences and perspectives. Theoretical saturation was achieved to ensure the comprehensiveness of the data collected. Thematic analysis was used to analyse the interview transcripts and identify key themes and categories representing faculty competencies. Findings: Five main themes representing essential faculty competencies were identified: ethical competencies, scientific competencies, research competencies, communication competencies, and information technology competencies. Each theme comprised several categories detailing specific competencies, such as individual integrity, pedagogical expertise, research skills, interpersonal communication, and technological proficiency. Conclusion: The study highlighted a comprehensive set of competencies required by faculty members at Farhangian Universities in Tehran to effectively fulfill their educational roles. These competencies span across ethical considerations, scientific knowledge, research capabilities, communication skills, and technological adeptness. Addressing these competencies through targeted development programs could significantly enhance faculty performance and, consequently, student learning outcomes.

Purpose: The objective of this study was to investigate the factors influencing the teaching of technical and practical courses in the College of Art in Iraq. Methodology: This applied-developmental study employed a survey-cross-sectional design. The statistical population consisted of art teachers in technical and vocational programs in Iraq, with a sample size of 188 teachers selected through cluster-random sampling. Data collection was conducted using a questionnaire validated for face and construct validity, and reliability was confirmed with Cronbach's alpha coefficients exceeding 0.7. Data analysis was performed using SPSS and Smart PLS software to examine the relationships between variables. Findings: The analysis revealed that strategic teaching planning significantly impacts educational, social, and individual outcomes. The contexts of technical and practical education and the teaching methods used in these courses significantly influence strategic teaching planning. Additionally, educational, human, and organizational factors were found to have a notable impact on the teaching of technical and practical courses. However, the traditional education system negatively affected strategic teaching planning. These findings align with previous research highlighting the importance of strategic planning, adaptive teaching methods, and the integration of modern technologies in improving educational outcomes. Conclusion: Strategic teaching planning is crucial for enhancing educational, social, and individual outcomes in technical and practical courses. Educational contexts, teaching methods, and various influencing factors must be considered to develop effective strategic plans. The traditional education system's rigidity poses challenges to effective teaching planning, suggesting a need for more flexible and innovative approaches. These insights provide valuable recommendations for educators and policymakers to improve the quality of technical and practical education in the arts.

Purpose: One of the fields with the highest number of students at Farhangian University is Primary Education. Therefore, the purpose of this study was to evaluate the quality of the Primary Education program at Farhangian University based on the CIPP model. Methodology: This study was applied in terms of objective and descriptive-survey in terms of implementation method. The study population included faculty members, educational group managers, and graduates of Primary Education from Farhangian University campuses in Tehran province during 2019-2022, and primary school principals in Tehran city in 2022. The sample size was estimated to be 276 individuals (20 faculty members, 6 educational group managers, 200 graduates of Primary Education, and 50 primary school principals) selected through simple random sampling. Data were collected through semi-structured interviews with faculty members and educational group managers and a researcher-made questionnaire filled out by all sample members. The data were analyzed using open, axial, and selective coding methods and examining the desirability of axial and selective codes. Findings: The findings indicated that for the quality of the Primary Education program at Farhangian University based on the CIPP model, 88 open codes, 31 axial codes, and 7 selective codes were identified. Conclusion: The results of this study indicated that the status of the Primary Education program at Farhangian University based on the CIPP model was not at a desirable level and improvement of the identified open, axial, and selective codes in this research is necessary for enhancement.

Purpose: The present study aimed to constructing and validating a questionnaire of factors affecting victimization in cyberspace in teenage Girls. Methods and Materials: The research employed a mixed-methods approach, specifically an exploratory sequential design and a tool development model. Initially, in the qualitative phase, semi-structured interviews were conducted with adolescent girls who had experienced cybervictimization at the secondary school level, as well as their parents, in Isfahan, Iran. Participants were purposefully selected, and data saturation was achieved after interviewing eight adolescents, followed by interviews with their parents. The qualitative analysis was performed using the Colaizzi method and MaxQDA software. The factors influencing cybervictimization from the perspectives of both adolescents and parents were identified, which led to the development of an initial questionnaire for the quantitative phase. The quantitative phase used a survey method, and a sample of 384 female students from secondary schools in districts 3, 4, and 6 of Isfahan, studying in the academic year 2023-2024, was selected using multi-stage cluster sampling. After a preliminary trial with 45 students, the questionnaire was administered to the main sample to evaluate its validity and reliability. Data analysis was performed using LISREL 7 and SPSS 28 software. The content validity of the questionnaire was assessed by experts, and construct validity was determined through confirmatory factor analysis. Findings: The questionnaire showed convergent validity with the Young Internet Addiction

Big-tech corporations like Google, Meta, Microsoft etc. extensively utilize customization to collect and analyze user data, a practice integral to their business models. Google leverages user data to personalize services across its platforms, notably in its search engine and YouTube, to enhance user experience and bolster its targeted advertising strategies. Similarly, Meta uses algorithmic content curation on Facebook and Instagram, tailoring user feeds to individual preferences and behaviors, thereby generating detailed user profiles for marketing purposes. Microsoft's approach, particularly with Office 365 and LinkedIn, focuses on productivity enhancements while also gathering user data for feature refinement and targeted advertising. These practices, I argue, while improving user engagement, raise significant privacy concerns. The extensive data collection often occurs without full transparency or user consent, leading to debates about ethical implications, digital surveillance, and societal impacts. In response, there is a growing demand for stricter data governance and privacy regulations, as seen in initiatives like the GDPR and CCPA, aiming to balance the benefits of personalization with the rights and privacy of users.