درخت حوزه‌های تخصصی

The purpose of the present study was to investigate the effect of Distributed Leadership on Job Satisfaction of teachers, and then determine the effects of DL and teachers' JS on the academic performance of high school students. This study was a descriptive-correlational work in terms of methodology and theoretical-applied work in terms of purpose. The statistical population of this study included two groups of stakeholders, namely teachers and 11th-grade students at high schools in Khuzestan province, Iran. Multi-stage cluster sampling used for sampling; accordingly, 52 out of 270 active schools in Khuzestan province were selected as samples. On average, seven teachers from each school and all 11th-grade students from those schools who took the final exams participated in the study. The measurement tool for DL and JS was a Questionnaire with an alpha coefficient of 0.83, and 0.96. Final exam scores were also used to measure students' academic performance. Results showed that there was a significant relationship between all variables of DL and teachers' JS. Also, all variables of DL had a significant relationship with students' academic performance. The results of the regression analysis showed that JS and variables of DL are good predictors of students' academic performance. Finally, the results of this study showed that the outcomes of distributed leadership for schools are not limited to teachers' job satisfaction; but it affects directly and indirectly on one of the most important missions of the school - the improvement of student academic performance. This three-dimensional package is a necessity for 21 st -century schools' effectiveness.  

Learning emotions consist of a range of ups and downs students come across in the classroom concerning the subject of study that may affect their performance in academic affairs and the correlation between learning approaches and academic engagement. The present study discussed the mediating role of learning emotions in the relationship between learning approaches and academic engagement in the academic year 2020/2021. The study used a correlation-descriptive research method and multistage cluster sampling. Participants were 384 female upper-secondary school students according to the Cochran formula. Three types of questionnaires were used to collect data: Reeve and Tseng’s academic engagement, Miller et al.’s learning approaches, and Pekrun’s learning emotions. Data were analyzed using Structural Equation Modelling in PLS software. Our findings showed that learning emotions (both positive and negative) have a mediating role in the correlation between learning approaches (learning goals, performance goals, instrumental/future goals, perception ability, external and internal evaluation) and academic engagement (P≤0/05). Moreover, learning approaches have a significant positive correlation with academic engagement (P≤0/05). Furthermore, learning approaches have a significant positive correlation with positive learning emotions, but a significant negative correlation with negative learning emotions (P≤0/05). We can hereby deduce that positive emotions have a significant positive correlation with academic engagement (P≤0/05), whereas the correlation coefficient between negative learning emotions and academic engagement is not significant (P≥0/05). It can be concluded that academic engagement is significantly affected by learning approaches and learning emotions and positive emotions increase the effect of learning approaches on academic learning.

The present article aimed at recognizing the barriers of E-leaning in front of Tabriz Payame Noor university students and providing a model. The statistical society was Tabriz Payame Noor university students during 2018-2019; among them, 384 students were selected in the random classified way through the Cochran formula. The researcher`s self-made questionnaire was used as the instrument of the study with content validity and 0.84 reliability was gained through Cronbach’s alpha technique. The data were analyzed through SPSS software; through exploratory factor analysis six indexes of 1. Lack of skills and continuous communication, 2. Lack of motivation, 3. Inaccessibility to the technology, 4. The inability of learning through media, 5. Lack of online group conversation, and 6. Lack of aligned issues with success in E-Learning as the barriers of E-learning for students. The model of E-learning barriers was designed too. The obtained results of the Friedman ranking test revealed that due to the lack of skills and continuous communications between students and professors of the university; this factor was the most important barrier in the process of university students’ E-learning.