درخت حوزه‌های تخصصی

Purpose: Considering the role of teachers' motivation in improving the teaching, educating and learning processes, the present study was conducted with the aim of providing a suitable model to promoting teachers' motivation for the education process. Methodology: The present study in terms of purpose was applied and in terms of implementation method was mixed (qualitative and quantitative). The research population in the qualitative part was the academic experts of Tehran city in 2020 year, which number of 15 people of them were selected as a sample according to the principle of theoretical saturation and by purposive sampling method. The research population in the quantitative part was the high school teachers of Tehran city in 2020 year, which number of 316 people of them were selected as a sample according to the Cochran's formula and by simple random sampling method. The research tool in the qualitative part was semi-structured interview and in the quantitative part was researcher-made questionnaire, which the validity and reliability of them were confirmed. The data in the qualitative part were analyzed by coding method based on grounded theory in MAXQDA software and data in the quantitative part were analyzed by exploratory factor analysis and structural equation modeling in SPSS and LISREL software. Findings: The results of the qualitative part showed that the central category included promoting teachers' motivation for the education process, causal factors included work environment, cultural and social context, teaching level, individual characteristics and demographic factors, intervention factors included psychological-attitudinal factors, individual-motivational factors, facility-welfare factors, managerial and structural factors and negation of work, contextual factors included financial rewards, school physical facilities and job enrichment and job development, strategies included planning to improve quality and academic level, behavior, attitude and policy educational of managers, teacher empowerment and encouragement active teacher and outcomes included trustworthy, academic competence, good social relations and understanding of circumstances and duties. Also, the results of the quantitative part showed that the factor load of all components was appropriate and work environment, cultural and social context, teaching level, individual characteristics and demographic factors on causal factors, psychological-attitudinal factors, individual-motivational factors, facility-welfare factors, managerial and structural factors and negation of work on intervention factors, financial rewards, school physical facilities and job enrichment and job development on contextual factors, planning to improve quality and academic level, behavior, attitude and policy educational of managers, teacher empowerment and encouragement active teacher and on strategies and trustworthy, academic competence, good social relations and understanding of circumstances and duties on outcomes had a significant effect on outcomes (P<0.05). Conclusion: According to the results of the present study, to promoting teachers' motivation for the education process can be action through the identified components in the present study.

Purpose: The aim of this study was to determine the relationship between analytical literacy and computer literacy with creativity and with the role of moderating gender in high school students in secondary period in Guilan province. Methodology: The method of descriptive research of correlational type and the statistical society included the high school students in secondary period of Guilan province in the first semester of the academic year 2020-2021. The statistical sample consisted of 384 people (191 females and 193 males) who were randomly selected by paper and electronic methods. The tools for measuring variables included Abedi creativity test, researcher-made questionnaire of computer literacy and analytical literacy. Data were analyzed using hierarchical regression analysis, multivariate regression and Z test. Findings: The results showed that the effect of computer literacy and analytical literacy on students' creativity is positive and significant. The effect of computer literacy by gender on creativity was also significant. Conclusion: The effect of computer literacy on analytical literacy has been positive and significant, too. The results can be used to predict creativity in male and female students.

Purpose: STEAM is the term given to a growing field of research and practice that integrates arts and social sciences into traditional sciences, technology, engineering, and mathematics subjects. The purpose of this study is to develop a STEAM-based educational learning package of social sciences textbooks and investigate its effect on the attitude, problem-solving ability, and creativity of sixth-grade primary school students of Bushehr in Iran. The design thinking model was used to design the training package. Methodology: The present study was quantitative applied research. The research design is quasi-experimental with pre-test and post-test with the experimental and control group (unequal control group). The statistical population of this study included all students studying in the sixth grades of public primary schools in Busher in the academic year 2020-2021. Due to the nature of the research which is quasi-experimental and also with respect to the subject drop, 44 participants were considered as the statistical sample (22 students in each group) and they were selected by "accessible" purposeful sampling and randomly divided into experimental and control groups. The STEAM training package was designed in 13 sessions and each training session took a 35-minute duration in the form of 14 projects, and its implementation lasted for 2 months. In order to design each social science lesson project, a focus group meeting was held with the members. Data were collected based on three questionnaires: Hepner and Kruskal's problem-solving skills test, Shaffer's creative attitude survey, and Aiken's scientific attitude test. The face validity of the educational package was confirmed using experts' opinions. In order to check the hypotheses of this research, covariance analysis was used. Findings: The presuppositions of the statistical test of covariance analysis, including the Kolmogorov- Smirnov test for the normality of the research variables and Levin's test for the homogeneity of the variances of the educational variables were confirmed. After that, the effects of the implementation of the steam-based educational package were investigated, and the results of the covariance analysis showed that the implementation of the educational package had an effect of (0.94) on creativity and problem-solving (0.90), and attitude (0.97) on students. The results of the Kolmogorov-Smirnov test showed that the creativity, attitude, and problem-solving skills variables of students have a normal distribution (p> 0.05). The results of the Levin test indicate that these assumptions are confirmed (p> 0.05). Conclusion: Based on the findings, it can be concluded that the STEAM-based training package increases problem-solving ability, creativity, and a positive attitude towards the course of social sciences.

Purpose: Academic buoyancy is one of the effective variables in the academic field and learning environment of students. Therefore, the objective of this research was to design the academic buoyancy model based on life expectancy with the mediation of happiness in female high school students in Hamedan city. Methodology: The methodology of this research was correlational and SEM. The statistical population included all female students of the second secondary school in Hamedan city, and the statistical sample was selected based on the number of items used in the questionnaires as 370 people with the multi-stage cluster sampling method. Academic buoyancy (Hosseinchari and Dehghanizadeh, 2013), life expectancy (Hallajian, 2019), and Oxford happiness (Argyl et al., 1989) scales were used to collect data. For data analysis, a structural equation test was used in the PLS-3 software environment. Findings: The results showed that life expectancy has a direct and positive effect on academic buoyancy (β = 0.36, p <0.01) and happiness (β = 0.46, p < 0.01). Happiness also has a direct and significant effect on academic buoyancy (β = 0.34, p<0.01). Also, happiness has a significant mediating role in the relationship between life expectancy and academic buoyancy (β = 0.16, p<0.01). Conclusion: since life expectancy creates a more positive atmosphere, it can be effective in increasing the feeling of happiness, and happiness creates buoyancy in the academic environment, followed by an increase in academic buoyancy.