درخت حوزه‌های تخصصی

Purpose: The aim of this study was to design an environmental behavior model based on learning organization and social responsibility among high school teachers in Gorgan. Methodology: The method of this research was applied in terms of purpose and in terms of data collection in the category of descriptive research of correlation type and in terms of method in the form of research mixed with exploratory approach. Were done using purposive sampling method and using the principle of maximum diversity to achieve theoretical saturation. The statistical population in the quantitative part included all high school teachers (formal, contract and contract) in Gorgan in the academic year 2019-20, which in this study due to different areas (rural and urban) and suitable for both sexes (female and male) Stratified random sampling with proportional attribution was used and the total sample size was 234 people. In order to measure the variables in the qualitative method, in-depth semi-structured interview was used and in a small part, a researcher-made questionnaire was used. Confirmatory factor analysis and patterning of structural equations were used to analyze the data and fit indicators were used to determine the fit and validity of the designed patterns using LISREL software. Findings: The results of qualitative analysis of the content of the interviews, 7 categories (main category) and 43 sub-categories were obtained. The main categories are: management and leadership, policy and strategy formulation, training missions, environmental awareness, environmental behavior, responsibility Social and organizational learning orientation. In the quantitative part of the research, to present the model of environmental behavior based on the learning organization and social responsibility, data normality test, sample adequacy test, heuristic and confirmatory factor analysis and then structural research model was presented. . Based on the results of the quantitative analysis of the research, all hypotheses and indicators were in good condition. Conclusion: The results of qualitative analysis of the content of the interviews, 7 categories (main category) and 43 categories of results showed the first step towards achieving a model of environmental behavior based on learning organization and social responsibility in high school teachers in Gorgan, perspective study, Philosophy, rules and regulations of educational management of high school schools in Gorgan

Perpose: The aim of this study was to design a model of professional competence of principals based on the development of creativity and innovation in primary schools. Methodology: The method of the present study was a combination of exploratory type in which the qualitative method was performed using the underlying theory and the quantitative method was performed using the structural equation model. The statistical population of the study was in the quantitative part of all primary school principals in Tehran in the academic year 2019-20 and in the qualitative part of all experts in the field of education in Tehran. Sampling in the quantitative part using stratified stratified sampling method 196 managers of 22 districts of Tehran were selected and in the qualitative part 17 people were selected using purposive sampling with emphasis on the principle of theoretical saturation. The research tools in the qualitative part were in-depth semi-structured interviews with 5 questions and in the quantitative part of the researcher-made questionnaire to assess the components of manager’s professional competence. Since the content of the questionnaire shows the components that have the highest coefficient of importance, according to the approval of the questions by experts, the validity of the content of the questionnaire has been confirmed. The total alpha coefficient of the design questionnaire identifying the pattern of professional competence of principals based on the development of creativity and innovation in primary schools is 0.937 or 94% that the tool used has a good reliability. Data were collected in the qualitative section by grounded theory method and then analyzed by testing structural equation modeling using Smart PLS software. Findings: The results of exploratory and confirmatory factor analysis showed that the components of motivation, management, technology, attitude-behavioral, cognitive-skill components and indicators of professional competence of principals are based on the development of creativity and innovation in primary schools. Also, the model fit indices that were performed using the structural equation model showed that the research data had a suitable fit with the model of professional competence of principals based on the development of creativity and innovation in primary schools. Conclusion: Based on the results of the research, attracting and employing competent managers, especially in the critical elementary school, requires the creation of a human resources system in which meritocracy prevails.

Since its inception in the late 1960s and especially following its commercialization in the mid-1990s, the Internet has experienced exponential growth. As artificial intelligence (AI) has surpassed previously inconceivable boundaries, it has become evident that AI both poses a threat to aspects of human existence and offers potential avenues for a more human-centric future. This paper contends that a digital existence, by its intrinsic nature, engenders a sense of discontentment. Paradoxically, within this digital realm, remedies emerge that elude offline experiences. While chatbots initially served as sources of amusement, their capacity to provide accessible and dependable counseling services has now become indispensable. Our assertion is that in the years to come, as chatbot technology advances further in sophistication, hundreds of millions of individuals worldwide will gain access to improved lives through the provision of free counseling services. Consequently, therapy will 

AI is developing so fast that philosophers of technology could not keep up with philosophizing it. AI promises to augment human capabilities, offering new insights and efficiencies. However, it also raises concerns about diminished autonomy and decision-making skills. Balancing AI's potential with ethical considerations is crucial to ensure it acts as a tool that enriches, rather than diminishes, human agency. In the present study, we interviewed a group of 62 tech-savvy professionals from Iran's technology sector to see how they think about the relationship between a much more powerful AI in the future and its relationship with human agency. Since these participants were -supposedly- more acquaint with AI and its capabilities, we decided interviewing them would yield important insights. After qualitatively analyzing our data, we came into five main categories of perspectives on AI and future of human agency: Augmentation and Enhancement, Displacement and Dependency, Collaboration and Partnership, Control and Ethics, and, Transformation and Transcendence. For each category, we provided examples from our interviews.