درخت حوزه‌های تخصصی

Purpose: The present research was done to determine the effectiveness of training process mental stimulation on academic procrastination and academic stress of gifted students. Methodology: The present quasi-experimental study was done with a pretest posttest design and follow-up along with a control group. The research population consisted of high school gifted students in academic year 2019-2020. The research sample included 30 students, who were chosen through multistage cluster sampling method, and assigned into two equal groups as treatment and control via randomization. The treatment group was trained for nine sessions of 90 min (one session per week) through process mental simulation training method, while the control group did not receive such training during this time. The data were collected through academic procrastination scale (Solomon and Rothblum, 1984) and academic stress (Zajacova and et al., 2005), and then analyzed using repeated measure analysis of variance and Bonferroni post hoc test in SPSS-19 software. Findings: The results revealed that the treatment and control group differed significantly with each other in the posttest and follow-up stages. In other words, the process mental simulation training resulted in diminished academic procrastination and academic stress of gifted students, and the results were also preserved in the follow-up stage (P<0.001). Conclusion: The results indicated the effectiveness of process mental simulation training on academic procrastination and academic stress of gifted students in post-test and follow-up stages. Thus, the education experts can use the mentioned method alongside other effective methods for reducing the academic procrastination and academic stress of students.

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: 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.

Purpose: Epistemology as one of the philosophical foundations in the field of education can play an important role in blended learning, ie using more than one method, strategy and technique for learning. Therefore, the present study was conducted with the aim of designing and validation the epistemological model in blended learning Methodology: The present study was applied from type of qualitative-quantitative. The population of the qualitative section was the documents related to epistemology and blended learning in the years 1990 to 2020 which 80 books, 60 dissertations and 60 articles were selected by purposive sampling method and in addition, included experts in the field of philosophy of education and distance learning which based on the principle of theoretical saturation number of 10 people of them were selected by purposive sampling method. The population of the quantitative section were faculty members and doctoral students of the department of philosophy of education and distance learning of Payame Noor University in 2020-2021 years which based on Krejcie and Morgan's table number of 200 people of them were selected by stratified random sampling method with using the teacher and student ratio. The tool of the qualitative section was the recording of books, dissertations and articles and interviews with experts, and the tool of the quantitative section was a researcher-made questionnaire whose psychometric indicators were confirmed. Data were analyzed by coding method in MAXQDA software and exploratory factor analysis and one-sample t-test in SPSS software. Findings: Findings showed that the epistemological model in blended learning had 60 subcategories in 9 categories including purpose, evaluation, educational correction, content, teaching method, teacher, learner, media and cognitive presence that its model was drawn. Also, validation of model indicated that the factor load of all 6 questions related to validation of model was higher than 0.30, their validity was higher than 0.50 and their reliability was higher than 0.70. In addition, the mean of all 6 questions was higher than the hypothetical mean of the population (P<0.001). Conclusion: The findings showed that the designed model for epistemology in blended learning had good validity. Therefore, curriculum specialists and planners can use this model along with other models to improve blended learning