درخت حوزه‌های تخصصی

Purpose: The aim of this study was to investigate the effect of students' attitudes toward entrepreneurship education and entrepreneurial environment on entrepreneurial intention with respect to the moderating role of gender and family background. Methodology: The present research was applied in terms of purpose and quantitative research in terms of data collection. The statistical population included all business management students of Islamic Azad University, Tehran Branch of Science and Research, who have taken entrepreneurship courses as part of their curriculum. To determine the sample size, stratified random sampling was used and 297 people were selected using Morgan table. The data collection tool was the Jena Standard Questionnaire (2020) based on a 5-item scale. The validity of the questionnaire was confirmed in terms of form and content by several experts, the validity was confirmed by calculating the trough and the validity of the questionnaire was confirmed by calculating the square root of the AVE. The reliability of the questionnaire was obtained through Cronbachs alpha for the whole questionnaire of 0.968.for data analysis, Cronbach's alpha tests, orthodontics (AVE), AVE root matrix, Kolmogrofs-Smirnov, confirmatory factor analysis and t-test bootstrap approach were used. Findings: The results showed that each of the components of attitude (emotional, behavioral and cognitive) and entrepreneurial environment has a significant effect on entrepreneurial intention. Discussion: This study also confirmed the effect of control groups (gender and family history of the entrepreneur) on the relationship between entrepreneurial attitude and intention.

Purpose: The aim of this study was to identify the components of distance education in rural areas in order to provide a model in secondary schools in the country. Methodology: The combined research method was exploratory. In the qualitative part of the study, content analysis with inductive approach was used. Research environment in this section, 84 documents including 67 articles and books, 17 texts of interviews in the field of distance education that were selected as a sample, the components obtained in this research include 7 main components including management and leadership infrastructure, Economic infrastructure, technical infrastructure, educational infrastructure, socio-cultural and value infrastructure, organizational infrastructure and human infrastructure and 25 sub-components. The relative content validity coefficient was used to assess the validity and the Holsti coefficient was used to determine the reliability of the themes. The extracted reliability coefficient was 0.98 which indicated the high reliability of the themes. In the quantitative part, 290 members of the sample were selected by Cochran method and stratified random sampling method. The research tool was a 70-item researcher-made questionnaire. To evaluate the validity of the questionnaire, face, content and structural validity were used, and to assess its reliability, Cronbach's alpha with a value of 0.90 was used. Descriptive statistical methods were used in the analysis of quantitative data including frequency distribution tables and graphs and in the inferential section of confirmatory factor analysis. According to the relative Chi-square fit indices, adaptive fit, adaptive fitting and barbell, the model had a good fit. Findings: The results showed that among the identified components, educational infrastructure was ranked highest and human infrastructure was ranked lowest, respectively. Discussion: E-learning is useful for rural areas in terms of knowledge, better job opportunities, advancement and learning of developing technologies in marketing, and focusing on rural areas helps people's social development and mental ability.

Purpose: Increasing improvement in the field of computer sciences, appearance and development of information networks, especially internet, facilities and new ways are provided for the programmers and executives of training plans. The purpose of present research is planning and validation of curriculum model of medium period technological competence. Methodology: This research has mixed strategy. To answer these questions, the research was done in four phases. The first phase was done with qualitative approach and other phases with quantitative approach. Handling this research in the first phase, interview, search and investigation was used for data collection. After doing interviews with 12 persons of elites and using the articles of related researches, obtaining data were collected and the questionnaire including 76 questions in 6 main effective indices on curriculum model of medium period technological competence was planned. In the next step of this questionnaire, it was distributed among some elites of managers and assistants of electronic training schools to determine efficiency amount of each noted factors in the questionnaire on curriculum of medium period technological competence and based on their idea using confirmed element analysis method was designed for medium period technological competence. Finding: Obtained findings indicated that 6 indices with 15 components make the status of network substructure with two access components to network and network quality, relation tool and collaboration with two components of concurrent and in-concurrent relationships, non-technical competences and technical skills with three components of knowledge, skill and attitude, strategies of simplicity training with three components of patterning and cooperation, management and supervision, training strategies for increasing trust with three components of trust, honesty and appreciation and management with two components of time management and support for curriculum model of medium period technological competence. In addition, confirmed element analysis of obtaining components indicated that there is acceptable curriculum model of medium period technological competence with data. The most element load was related to management (0.964) and the least one related to network substructure (0.579). Conclusion: Due to obtaining findings, we can conclude that based on the idea of experts, hardware factors such as substructure of communication networks and internet and technical skills along with software and human factors such as management play the role in designing curriculum of medium period technological competence.