درخت حوزه‌های تخصصی

Purpose: This study aimed to plan and validate the product creativity evaluation model in architectural education. According to three product creativity evaluation models: CPAM, CSDS and PCMI. Methodology: The research was applied in terms of purpose and in terms of data collection among descriptive studies was correlational and in terms of method was mixed exploratory research. The statistical population in the qualitative section included all experts in education and creativity in Mashhad. A sample of 10 people was selected by purposive sampling using the principles of theoretical saturation from the mentioned community. In the quantitative part, the statistical population included all university professors in the field of architecture in Mashhad, and 150 people were selected by random sampling. The required data was collected in the summer of 2020 using semi-structured interviews and upstream documents in the qualitative phase. The measurement tool in the quantitative section was a researcher-made questionnaire whose construct validity was calculated using factor analysis, and the reliability value through Cronbach's alpha coefficient was 0.82. The researcher carried out qualitative data analysis using the thematic analysis coding approach developed by Braun and Clarke and quantitative data analysis using the partial least squares method. Findings: The results revealed that five components with 12 indicators make the status of novelty with two markers of originality and surprise. Relevance to the problem includes two indicators of regulatory compliance and practicality. In addition, the effectiveness of solutions has three indicators, namely meeting the needs of contacts, being environmentally friendly, and having durability. Design elements include two indicators, details (well-defined component) and elegance, and the collection of design elements contains the three indicators of harmonization, completeness, and well-formation (well-crafted) at the 95% confidence interval (p = .001). In addition, confirmed element analysis of the obtained components revealed that all factor loads were significant, and there is an acceptable agreement between the creativity model of architectural design products and the data. The heavy element load related to novelty (0.91) and the light one are related to the collection of design elements. Conclusion: Based on the findings, it can be concluded that according to the experts, the factor of novelty, such as originality and surprise, along with functional factors such as relevance, effectiveness, and artistic factors consisting of the design of elements, and the collection of design elements affects the designing creativity evaluation model of problem-solving results.

Purpose: The aim of this study was to identify the dimensions and components of human capital in the Iranian education system in order to provide a model for it. Methodology: The present study was applied research in terms of purpose and mixed (qualitative/quantitative) research in terms of implementation method. In the qualitative section, the participants included 15 university experts from Zanjan in the academic year 2019-20, selected by purposive sampling. In the next part of the study, the statistical population consisted of 1029 high school principals in Zanjan in the academic year 2019-20. The sample size was determined 292 principals based on Morgan table and was selected by simple random sampling. Data were collected through a questionnaire obtained based on qualitative findings, the validity of which was confirmed by professors and the reliability of which was calculated to be 0.81 through Cronbach's alpha test. To analyze the data in the qualitative part, the researchers used the thematic analysis method, the validity of which was confirmed by experts and the reliability of which was obtained as the coding agreement coefficient (0.86). To analyze the quantitative part, the researchers used content analysis method and confirmatory factor analysis and structural modeling with Amos24 for the quantitative part analysis. Findings: The results demonstrated that HC had 5 dimensions and 20 components, namely skill (5 components), knowledge (4 components), ethics (4 components), mental health (4 components) and sociocultural (3 components), as well as 70 indicators (P <0/05). The results of confirmatory factor analysis showed that the measurement models have a good fit. The RMSEA value was less than 0/08, the GFI, AGFI and NFI values were greater than 0.9 and the indices (PNFI and PCFI) were greater than 0/5 The results of structural equations also showed that all dimensions had a direct and positive effect on human capital (P <0/05). Conclusion: Planners and practitioners of the education system can use the results of this research at two levels of study time of human resources in universities, especially Farhangian University for the growth and excellence of human capital and during service to maintain them in the education system.

Purpose: Academic engagement as a basis for reformist efforts in the field of education is very important in achieving learning experience so that indirectly guarantees students' academic achievement. Therefore, purpose of this study was to prediction of academic engagement based on academic optimism, perception competence and achievement emotions in students. The descriptive- correlation method was used. Methodology: The statistical population consists of all male students studying of Hewraman region in year academic 2019-20 to 1476 student. In this study, according to random cluster sampling method, 100 married students by formula Plant of Tabachnick & Fidell (2007) were selected as samples and they were asked to academic engagement scale (AES) of Reeve (2013), perception competence scale of Harter (1982), academic optimism scale (AOS) of Tschannen‐Moran, Bankole, Mitchell and Moore (2013) and achievement emotions questionnaire (AEQ) of Pekrun, Goetz & Perry (2005). Findings: The data were analyzed by tests of Pearson correlation and multivariate regression. Results: Findings showed that there was positive and significant correlation between spdemic optimism, perception competence and positive achievement emotions with academic engagement (P<0/01). There was negative and significant correlation between negative with academic engagement (P<0/01). Regression analyses also revealed that %79/2 of variance of academic engagement was explained by academic optimism, perception competence and achievement emotions. Conclusion: This study confirmed the significant contribution of academic optimism, perception competence and achievement emotions in academic engagement of students. The results of this research can help planners and implementers of education organization to adopt appropriate educational policies in order to engage students in academic studies and the factors affecting it.

Purpose: The present study was conducted to design a model of media literacy curriculum in teacher training centers. Methodology: This research was applied in terms of purpose and qualitative in terms of research method and data type. Experts in the field of media literacy and education, including university professors, were considered as the research community. By conducting a snowball method with 20 interviews, the collected information reached saturation point. The data collection tool was a review of relevant national and international research as well as a semi-structured exploratory interview. Finally, after collecting information from the interview sections and reviewing the sources, at this stage, the data foundation and coding methods were used to classify the data. In order to check the internal validity of the findings, in addition to selecting and confirming the data by studying theoretical foundations, research background, sources, and interviews with focal individuals, the opinions and guidelines of a group of experts were also taken into account. The final was done. In order to confirm the accuracy of the data, the study method was used by the research members to validate the study. Findings: The findings of the study indicated that the appropriate model of media literacy curriculum for teacher training centers, consisting of dimensions such as public media literacy, specialized media literacy, media understanding, media management, media construction and Moral literacy was media. Conclusion: Media literacy is a technique that strengthens the discriminating power by creating dynamism against media messages.