درخت حوزه‌های تخصصی

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 aim of this study was to investigate the effect of artistic intelligence components on students' mental health. Methodology: his study was applied in terms of purpose and descriptive-correlational in terms of data collection and quantitative in terms of method. The statistical population was all the first high school students in Sari city in the academic year 20-2019 that according to Krejcie and Morgan table, 361 people were selected by multi-stage cluster sampling. The measurement tool was a researcher-made questionnaire of art intelligence with 55 items and mental health of Omidian and Alavi Langroudi with 46 items whose construct validity, using factor analysis method and reliability value through Cronbach's alpha coefficient, respectively. 0.94 And 0.92 were calculated. Data were analyzed using Pearson correlation coefficient and regression analysis. Findings: The results showed that there is a significant relationship between artistic intelligence and its components (artistic talent, artistic attitude, artistic taste, artistic activity, artistic skills and art economics) with students' mental health. The components of artistic intelligence have a significant impact on mental health, as a total of 57% of students' mental health is explained (predicted). Also, the artistic taste component has the largest share in predicting students' mental health. Conclusion: By creating the necessary opportunities, the necessary grounds for the flourishing of talents and the participation of all talented and artistic students can be provided, and by thanking and appreciating them and awarding prizes on various occasions. , Provided the grounds for their encouragement to develop their artistic skills.

Purpose: The purpose of this study was to present a model of educational citizenship behavior among teachers. Methodology: The present study was applied in terms of purpose, in terms of data collection, Induction and exploration in terms of qualitative method with the data base method. The statistical population of this study consisted of all first grade High School teachers in the academic year of 2018-19 who were selected by snowball method. In this study, we interviewed 42 teachers and teachers from the northern provinces of the country who were interviewed from seventeen onwards, repeatedly on the received information, and after the twenty-four interviews, the data were completely duplicated and theoretically saturated, but to be sure of the interview. 42 continued. In-depth interviews started with questions about "Teacher Citizenship Behavior among Teachers" and the rest of the questions were based on the answers of the interviewee. In this study, systematic method (open coding, axial coding and selective coding) was used for data analysis. Findings: Data analysis based on content analysis and Grounded Theory method using data base theory showed that educational citizenship behavior in teachers was related to five components: economic needs, organizational justice, teacher organizational characteristics, education strategic plans, respect So we can base on these five factors. Developed a model of educational citizenship behavior in teachers. Conclusion: Teachers need mutual respect for power and social base. Teachers who have this need seek education, learning and teaching, and tend to have the learning environment under their control.