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: The covid-19 pandemic caused many and extensive changes and transformations in educational teaching. Considering the importance of students' academic achievement, the aim of this study was to comparison the effectiveness of Bybee's teaching method as face-to-face and non-face-to-face on the academic achievement of mail students of the first secondary school in the conditions of the Covid-19 pandemic. Methodology: This study was a semi-experimental with a pretest and posttest design with a control group. The research population was male students of the first secondary school in Zahedan city in the academic years 2019-2020. The sample size was 45 people (15 people for each group) who were selected by cluster sampling method and each of the clusters randomly by lottery replaced in three groups (two experimental groups and one control group). Each of the experimental groups was trained with Bybee's teaching method as face-to-face and non-face-to-face and during this time the control group was trained with the traditional method. The data were collected with Pham and Taylor's academic achievement questionnaire (1999), which whose validity was confirmed by the opinion of experts and its reliability was calculated by Cronbach's alpha method 0.92 and analyzed by methods of univariate analysis of covariance and Bonferroni post hoc test in SPSS software. Findings: The findings indicated that there was a significant difference between the experimental and control groups in terms of academic achievement. In the other words, Bybee's teaching method as a both face-to-face and non-face-to-face in compared to the control group caused a significant increase in the academic achievement of mail students of the first secondary school (P<0.001), but between the experimental groups means Bybee's teaching method as face-to-face and non-face-to-face there was no significant difference in increasing academic achievement (P>0.05). Conclusion: According to the results of this study mean effectiveness of both Bybee's teaching method as face-to-face and non-face-to-face on students' academic achievement and the lack of significant differences between them, to improve academic achievement can be used both Bybee's teaching method as face-to-face and non-face-to-face along with other effective teaching methods.

The aim of this research was the effect of providing a technological integrated package with curriculum subjects in improving digital literacy and social-emotional competence of fifth grade elementary students. The research method with a quantitative approach of semi-experimental type (quasi-experimental) with the experimental and control group design, the statistical population includes 457 students from the evaluated schools of the district and approved by Alborz province, who were selected by random sampling of 58 people. The research tool included two questionnaires, the Dundee University Digital Literacy Inventory (2016) based on the Open University Digital Skills Framework and the Boyatzis Social-Emotional Competence Inventory (2007). that the validity of both questionnaires was confirmed by experts and reliability was estimated based on Cronbach's alpha coefficient for digital literacy (0.942) and for social-emotional competence (0.90); Then it was distributed. The obtained data have been used with descriptive statistics (frequency table, graph, mean, standard deviation) and inferential statistics (Kolmogov Smirnov test, boxplot, ANOVA test, Lone test and path analysis method). The data were analyzed using Amos software version 24 and SPSS version 22. The results showed: 1) There is no significant relationship between social-emotional competence and digital literacy. 2) Among the dimensions of social-emotional competence, self-awareness (R=0.566), self-management (R=0.290) has a positive and significant relationship with digital literacy, and relationship management (R=0.348) has an inverse relationship with digital literacy. And it has meaning. 3) Among the dimensions of social-emotional competence, only the dimension of social awareness (R=0.133) has no significant relationship with digital literacy. 4) Among the dimensions of social-emotional competence, the highest impact is related to the dimension of self-awareness and the lowest is related to the dimension of self-management.

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.