درخت حوزه‌های تخصصی

Purpose: Since the prevalence of Covid-19 increased the use of e-learning and its dual importance in teaching methods, this study aimed to compare the effect of two teaching methods of brainstorming and group discussion by e-learning on learning level and interest in teamwork in social studies course. Methodology: This was an applied study in terms of purpose and semi-experimental with pre-test and post-test design in terms of implementation method. The study population was the third-grade elementary school students in district 20 of Tehran in the academic year of 2020-2021. The sample size was 60 students in two classes with 30 ones who were selected by available sampling method. One of the classes was considered as a teaching group with brainstorming method in a random way and the other class was considered as a teaching group with group discussion method. The teacher-made test of learning level in the social studies course and the teamwork interest questionnaire (Evans & Jarvis, 1986) were used to collect the data. Findings: The results of paired t-test showed that both methods of teaching brainstorming and group discussion by e-learning enhanced the level of learning and interest in teamwork in social studies course (P <0.001). The results of univariate analysis of covariance showed that the group discussion teaching method in comparison with the brainstorming teaching method enhanced the learning level and interest in teamwork in the social studies course (P <0.001). Conclusion: The results showed the effectiveness of both methods and the greater impact of group discussion teaching method compared to the brainstorming teaching method in both variables of learning level and interest in teamwork. Therefore, the use of group discussion teaching method should be prioritized to improve academic performance in social studies course.

Purpose: The purpose of this study was to present a comprehensive model of empowerment in the Social Security Organization. Methodology: This research was based on the applied purpose and in terms of quantitative and qualitative research method (mixed) and in terms of data collection was descriptive-survey. The statistical population of the study consisted of two groups of experts and thinkers. The first group consisted of university professors whose field of study and field of study was related to the field of research and the second group included organizational experts with a master's degree or higher with managerial and experimental backgrounds related to human resources in the qualitative section after counting the criteria and indicators extracted. From the theoretical foundations, a researcher-made questionnaire based on the Looshe and Likert spectrum was prepared and after passing the Delphi survey, a conceptual model was extracted. Then, in the quantitative part, exploratory factor analysis method was used to identify the model factors and confirmatory factor analysis method was used to fit the model. In order to check the validity of the questions, purposive sampling method was used among organizational and academic experts, of which 15 people were included as a statistical sample. In the second and third stages of validity of the questions, to strengthen the screening process, the snowball method was used to compile the sample, which after saturating the data of 32 final experts for the exploration section and building a conceptual model participated. Statistical analysis was performed using SPSS software to cluster the indicators and create research components and Smart PLS software to confirm the research model. Findings: The results of this study identified 11 components and 37 indicators as the most important factors of comprehensive empowerment and showed that individuals will be empowered individually when intra-individual intelligence, creativity-oriented education, psychological self-knowledge, internal performance, knowledge-based decision making and individual self-efficacy. Together, they will be empowered in the collective, team, and organizational spheres when the culture of bureaucracy, internal reward, fundamental self-efficacy, and interactive policy come together. Conclusion: After exploratory factor analysis and component classification, the fit of the model obtained from the previous step was investigated and confirmed with a good fit.