درخت حوزه‌های تخصصی

Purpose: Futurology plays a significant role in advancing organizational goals and mitigating organizational problems and challenges. Therefore, the aim of this study was to identify the dimensions and components of Internet of Things development in schools based on future studies. Methodology: In a descriptive qualitative study, 19 academic and organizational experts from the educational sector of Tehran were interviewed in the academic year 2020-2021 using a semi-structured method. In this study, the sample size was determined according to the principle of theoretical saturation and was selected through purposive sampling. The research tool was a semi-structured interview, whose validity was confirmed through triangulation and whose reliability was calculated at 0.88 using the agreement coefficient between two coders. The data of this study were analyzed using thematic analysis in MAXQDA software, version 2020. Findings: The analysis indicated that the development of the Internet of Things in schools based on future studies encompasses 26 components across 7 dimensions. These dimensions include the elimination of time constraints (with 3 components), elimination of spatial constraints (with 4 components), reduction of infrastructure costs (with 4 components), knowledge management (with 3 components), professional competence (with 3 components), information technology (with 3 components), and effectiveness of the educational system (with 6 components). Ultimately, a thematic network for the development of the Internet of Things in schools based on future studies was established. Conclusion: The model of dimensions and components designed in this study can assist specialists and educational system officials in improving the development of the Internet of Things in schools.

Purpose: Given the educational mission of universities in Iran, paying attention to the ethical component in the education and training of human resources is essential. Therefore, the preparation and validation of a native instrument for assessing the professional ethics of the educational staff appears to be necessary. The aim of this study was to construct and normalize a scale for assessing the professional ethics of faculty members at Farhangian University. Methodology: The present study was a sequential exploratory mixed method research. For this purpose, a sample of 267 faculty members and staff of Farhangian University in the northwest of the country was selected using a cluster sampling method. The research instrument was a researcher-made questionnaire. For data analysis, in addition to descriptive indices, Cronbach's alpha and retest methods were used to assess reliability, and factor analysis, content validity, and convergent validity methods were used through SPSS-V22 and Lisrel-V8.8 software. Findings: Based on the results of the exploratory factor analysis, using varimax rotation, honesty, justice, respect, responsibility, adherence to laws, loyalty, and preservation of human dignity were identified as components of professional ethics among faculty members of Farhangian University. Conclusion: Overall, the results showed that this scale has satisfactory reliability and validity in assessing the professional ethics of faculty members.

Purpose: One of the inherent duties of the Cultural and Social Affairs Department of Farhangian University is to extend the governance of cultural and social spheres across all dimensions of the university. In this regard, numerous and diverse plans and activities have been implemented in recent years. The aim of this article is to analyze the cultural and social activities conducted at the university level and to provide an optimal model in this context. Methodology: The Three-Branch Model was used as a theoretical framework. The method employed was mixed, comprising both qualitative and quantitative sections. The qualitative sample population included 30 cultural experts selected through purposive sampling. The quantitative sample population consisted of 194 active members of student organizations, chosen through stratified random sampling. Data collection techniques included in-depth interviews and questionnaires. Findings: The findings indicate that structural factors (0.195), behavioral factors (0.368), and contextual factors (0.312) play significant roles in the formation of issues and problems in cultural and social programs and activities. Additionally, the regression results show that 63% of the variance in the dependent variable is explained by these three variables: structural factors, contextual factors, and behavioral factors. Conclusion: The findings of this study indicate that the structural, behavioral, and contextual factors play significant roles in shaping the outcomes of cultural programs and activities at Farhangian University. This section discusses the implications of these results, drawing on relevant literature to highlight the broader context and potential strategies for enhancing the effectiveness of cultural programs in higher education.

Purpose: The aim of the present study was to design and elaborate the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company. Methodology: This research is an applied study and, in terms of methodology, a mixed-methods (qualitative-quantitative) research. The statistical population of the study consisted of 15 experts from Islamic Azad Universities and managers of the Isfahan Steel Company. In the qualitative section, their opinions were used to identify and code the categories. For modeling purposes, the statistical population included a group of officials from the Isfahan Steel Company. Cochran's formula was used for sampling, resulting in a sample size of 384, and the sampling method was randomly accessible. To identify the factors, interviews were conducted initially, and with the help of open coding, selective coding, and axial coding, categories and concepts were extracted. Findings: The results of included 41 axial codes and 251 open codes. Subsequently, in the next stage, using confirmatory factor analysis, the axial, causal, contextual, intervening conditions, strategies, and outcomes were examined. Finally, consensus was reached on 209 open codes and 40 selective codes. For modeling, structural equations and partial least squares (PLS) with Smart PLS software were utilized. The results indicated that the neuro-coaching model (neuroscience of coaching) at Isfahan Steel Company is underpinned by 8 causal conditions, 8 contextual conditions, 6 intervening factors, and 7 strategies, leading to 11 major outcomes for Isfahan Steel Company. These outcomes include: improved neural process performance, personal growth and development, empowerment and psychological improvement, enhanced interactions and satisfaction, improved performance and cost reduction, psychology and personal relationships, interaction and communications, personal and psychological growth, individual and professional development, interactions and exercises, and the quality and effectiveness of neural solutions. Conclusion: In conclusion, the neuro-coaching model holds significant promise for transforming coaching practices and enhancing organizational outcomes. The integration of neuroscience principles provides a robust framework for developing more effective and scientifically grounded coaching interventions.

Purpose: Talent management plays a crucial role in enhancing the quality of education and learning, especially within education organizations. Therefore, this study aimed to explore the relationship between the categories of talent management implementation in the education organization. Methodology: This research was applied in its objective and descriptive-correlational in its execution. The study population consisted of managers and employees of the Basra province education organization, from which 385 individuals were selected as the sample using Cochran's formula and a convenience sampling method. The research tool was a researcher-made questionnaire on talent management implementation in the education organization, comprising 63 questions. The data obtained from its administration were analyzed using exploratory factor analysis and partial least squares regression in SPSS and Smart PLS software. Findings: The findings indicated that the implementation of talent management in the education organization comprised six categories: causal conditions (with two components), contextual conditions (with three components), intervening conditions (with three components), the central phenomenon (with one component), strategies (with two components), and outcomes (with one component). The factor loading of all components was above 0.50 and significant, the content validity ratio above 0.70, and the Cronbach's alpha and composite reliability above 0.80. Moreover, the correlation coefficients of causal conditions, contextual conditions, intervening conditions, the central phenomenon, strategies, and outcomes were less than 0.45, indicating their distinctiveness. Additionally, considering the indices of communality and redundancy, the talent management implementation model in the education organization fitted well, and the effect of causal, contextual, and intervening conditions on the central phenomenon, the effect of the central phenomenon on strategies, and the effect of strategies on outcomes were significant (P<0.05). Conclusion: The designed model of talent management implementation in the education organization can assist managers, officials, and education planners in designing programs suitable for implementing talent management within the education organization.

Purpose: Academic procrastination detrimentally affects students' other academic performances. Consequently, this study aimed to compare the effectiveness of instructional mental imagery and tolerance of ambiguity training on students' academic procrastination. Methodology: This quasi-experimental research involved two experimental groups and one control group, with a pre-test, post-test, and two-month follow-up design. The study population consisted of all female twelfth-grade students in both public and private schools in Bojnurd during the 2023-2024 academic year. The sample included 45 students selected through purposive sampling and randomly assigned into three equal groups (each group containing 15 students). The first experimental group underwent twelve 90-minute sessions of instructional mental imagery training, and the second experimental group received nine 90-minute sessions of tolerance of ambiguity training based on the cognitive-behavioral approach, while the control group received no training. Data were collected using the Solomon and Rothblum (1984) Academic Procrastination Questionnaire and analyzed using repeated measures ANOVA and Bonferroni post-hoc test in SPSS-25. Findings: The findings indicated significant differences between groups in terms of reducing students' academic procrastination. Both the instructional mental imagery and tolerance of ambiguity training methods significantly reduced academic procrastination in the post-test and follow-up stages compared to the control group (P<0.05). Moreover, there was no significant difference between the instructional mental imagery and tolerance of ambiguity training methods in reducing students' academic procrastination (P>0.05). Conclusion: Given the effectiveness of both instructional mental imagery and tolerance of ambiguity training methods in reducing students' academic procrastination, school counselors and psychologists can utilize these methods alongside other educational approaches to reduce academic procrastination.

Purpose: In the context of rapidly evolving digital landscapes, digital media literacy has become a foundational element in primary education, crucial for preparing students to navigate and influence their digital surroundings effectively. This study aims to identify and describe the key components of digital media literacy as taught in primary schools, focusing on the insights of faculty members from Iran to understand how these components are integrated into the educational system. Methodology: Employing a qualitative research design, this study gathered data through semi-structured interviews with 21 faculty members who are directly involved in teaching digital media literacy in primary schools across Iran. Theoretical saturation was achieved to ensure comprehensive coverage of the concepts. Data were analyzed using NVivo software to facilitate a thorough thematic analysis, identifying the core components of digital media literacy education. Findings: The analysis revealed five main themes central to digital media literacy in primary education: Transfer, Usage, and Digital Competence; Computer Fundamentals; Online Basics Skills; Word Processing, Spreadsheet, and Presentation Skills; and Database and Data Security Skills. Each theme comprised several categories that detailed specific skills and knowledge areas essential for comprehensive digital literacy, ranging from basic computer operations to advanced data management and security. Conclusion: The study underscores the importance of a robust digital media literacy curriculum in primary education, highlighting specific skills that are crucial for students' development as competent digital citizens. It also points to the need for ongoing teacher training to keep pace with technological advancements, ensuring that educators are well-equipped to impart these essential skills.

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: The present study aimed to provide a model of a poststructuralist educational system based on rhizomatic philosophy. Methodology: This study is of a fundamental research type, and the research method was qualitative, specifically utilizing a synthesis research approach. The research environment included all published domestic articles (from 2010 to 2022) and international articles (from 2007 to 2023). Purposeful sampling was used in this study until data saturation was achieved, thus sampling continued until the necessary data for analysis were obtained (23 articles). Following the review of the selected article texts, data were obtained through a combined synthesis method based on interpretive and analytical approaches. Subsequently, concepts were categorized based on their similarities into central categories, and ultimately, core categories were identified by combining the central categories. Findings: The findings revealed that a poststructuralist educational system based on rhizomatic philosophy includes three dimensions: reengineering planning, technological teaching, and curriculum reading. Conclusion: Given that in rhizomatic thinking, hierarchy or other concepts that impose a structure are not possible, democratic structures should be established in determining the strategies and programs of the educational system to ensure the participation of all stakeholders and the utilization of all capabilities and resources.

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 purpose of this research was to compare the effectiveness of emotional intelligence training and self-compassion practices on mental well-being, academic vitality, and academic self-concept among female high school students in Hamedan. Methodology: The research method was a semi-experimental three-group design (two experimental groups and one control group) with pre-tests and post-tests. The sample was selected using multi-stage cluster sampling from the population of female high school students in Hamedan in the academic year 2023-2024, with 60 individuals randomly chosen (20 in the first experimental group, 20 in the second experimental group, and 20 in the control group). Measurement tools included the Keyes and Magyar-Moe (2003) Mental Well-being Scale and the Liu and Wang (2005) Academic Self-concept Questionnaire. MANCOVA test and its assumptions were used to test the research hypotheses. ANOVA (one-way analysis of variance) with box plot and post-hoc tests like Tukey and Scheffé were employed for multiple comparisons in the post-test using SPSS version 23. Findings: The results showed that both emotional intelligence training and self-compassion practices are effective in improving the mental well-being and academic self-concept of female high school students in Hamedan. Additionally, it was found that self-compassion training is more effective than emotional intelligence training in enhancing academic self-concept, but there is no significant difference in the effectiveness of emotional intelligence training and self-compassion practices on mental well-being. Conclusion: Psychologists can help students gain more awareness of their emotions and learn how to deal with them, set meaningful and achievable goals, increase academic vitality and motivation through realistic goals aligned with personal interests, and strengthen their academic self-confidence. Students should be taught how to cope with educational stress and anxiety, find creative solutions, and learn to utilize available resources and supports.