درخت حوزه‌های تخصصی

Purpose : The aim of this study was to evaluate the nature of multicultural teaching from the perspective of professors of Islamic Azad University of Kermanshah. Methodology : The approach of the present study is qualitative and applied in terms of purpose. The statistical population includes a range of types of professors in the three fields of humanities, basic sciences and engineering of the Islamic Azad University of Kermanshah province. Snowball sampling is a non-random method. In this method, future members of the group are selected and introduced through former members of the group. The number of samples in this study is 27 after reaching the theoretical saturation. Semi-structured interviews were used to collect data. The findings were analyzed by content analysis method by MaxQDA software. Findings : The findings indicated that the nature of multicultural teaching includes the scope of teacher education, macro policies of the educational system, manpower, barriers and problems of multicultural teaching and teaching outcomes. Conclusion : Professors with a greater understanding of the multiplicity of students' culture, welcome multicultural teaching to improve the quality of teaching for all students and be able to overcome the challenges in this field with more reflection.

New technologies can change everything in the world and people can have different reactions to them. Some people tend to use innovations but some people do not, due to the influence of different factors. Personality type can be considered as one of those factors that might have a relation with the feelings toward the innovations. Therefore, this paper explores the relationship between Iranian EFL teachers’ personality traits and their sense of technophobia and technophilia. Two hundred and ten Iranian EFL teachers participated in this study. The Big-Five Personality Traits Questionnaire (John & Strivastava, 1999) and Technophobia and Technophilia Questionnaire (Martínez-Córcoles, Teichmann, & Murdvee, 2017) were used in the current study. To find the answers to the research questions, Pearson correlation, Structural Equation Modeling (SEM), and independent-sample t-test were used. The results showed that all subscales of personality traits were negative significant predictors of technophobia except Neuroticism. Moreover, the results indicated a positive significant relationship between overall technophilia and all constructs of personality traits.

Purpose- Currently he occurrence of recent droughts in Iran and the severity of its damage indicate the vulnerability of farmers. The economic-environmental damages and the resilience farmers to this incident are evident in diverse ways. Therefore, recognizing the resilience of the population influenced by drought can offer a tool to prevent life-threatening disaster in high-risk areas. The aim of this study was to evaluate the economic resilience of rural households to drought in plain of Kermanshah and answer the following questions. What is the extent of economic resilience of rural households in Mahidasht to drought? What are the most important factors affecting the economic resilience of rural households to drought? Design/methodology/approach- This is an applied research and a descriptive-analytical method along with library analysis and field surveys were adopted for data collection. The statistical population of this study consisted of 5081 households, out of whom 357 samples were selected according to Cochran's formula. Descriptive and inferential statistics (One-sample t-test) and structural equation modeling were used for data analysis. Findings- According to the results of t-test, the variables of vulnerability of villagers' property and assets (mean=3.99) and the impact of drought on the value of assets (mean=3.86) gained the highest average in terms of resilience. On the contrary, the two variables of ability to compensate (mean=1.67) and membership in cooperatives and agricultural companies (mean=1.67) had the lowest averages. Moreover, the test results of all four variables of evaluating farmers’ knowledge and awareness indicate a correlation between the independent variables (prevention, preparedness, reconstruction, institutional management) and the dependent variable (economic resilience). Therefore, it can be contended that the economic resilience of Mahidasht is fairly weak.