Aspects of ethics, values and social related to school learning
Ab Gezel; masumeh Bagherpur
Abstract
The present research was conducted with the aim of the effectiveness of education based on multi-dimensional planning on students' enthusiasm and academic vitality. It was a semi-experimental research with control and experimental groups. The statistical population included 898 7th grade male students ...
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The present research was conducted with the aim of the effectiveness of education based on multi-dimensional planning on students' enthusiasm and academic vitality. It was a semi-experimental research with control and experimental groups. The statistical population included 898 7th grade male students in Bandar Turkmen, 25 of whom were randomly assigned to the experimental group and 25 to the control group. The data collection tool included the standard questionnaire of Dehghanizadeh and Hossein Chari's academic vitality (2013), Fredericks's academic enthusiasm (2009) and the intervention tool for teaching multidimensional planning based on Elahi et al.'s model (2014) which includes 8 sessions of 90 minutes. The data obtained from the collected information was analyzed using covariance analysis in SPSS24 software. Covariance results showed that education based on multidimensional planning has a positive and significant effect on the components of academic vitality (feeling seen, useful, ability to face challenges) at P<0.01 level. Education based on multidimensional planning has a positive and significant effect on the components of academic enthusiasm (behavioral, emotional and cognitive) at the level of P<0.01.
Marzieh Sadat Sajadinezhad; Marzieh Assadi
Abstract
The aim of this study was to predict academic vitality and resilience based on e-learning skills by mediating role of academic excitement of Arak University students. The statistical population of the study includes all students studying in the first semester of 1400-1399 in Arak University from whom, ...
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The aim of this study was to predict academic vitality and resilience based on e-learning skills by mediating role of academic excitement of Arak University students. The statistical population of the study includes all students studying in the first semester of 1400-1399 in Arak University from whom, 365 people were selected by available sampling. Data collection tools including Academic Vitality Questionnaire Hossein Chari and Dehghanizadeh (2012), Martin Academic Resilience Questionnaire (2001), Watkins et al. (2004) e-Learning Questionnaire, And Pekran et al.'s (2005) Academic excitement Questionnaire. Data were analyzed using SPSS software (26) and R software (4.0.2) and hypothesis tested by structural equation model. The results of data analysis showed that e-learning skills can significantly predict students' vitality and academic resilience and academic Excitement (positive and negative) also play an important role in predicting academic resilience and vitality based on e-learning skills.Therefore, it seems that in order to strengthen the resilience and academic vitality of students in virtual education, in addition to strengthening electronic learning skills, it should also be considered to moderate negative emotions and strengthen positive emotions.
masumeh bagherpur
Abstract
The purpose of this study was to determine the relationship between smart schools' performance and the goals of academic achievement with mediating role of academic vitality of high school students in Golestan province. The research method is descriptive and correlational. The statistical population ...
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The purpose of this study was to determine the relationship between smart schools' performance and the goals of academic achievement with mediating role of academic vitality of high school students in Golestan province. The research method is descriptive and correlational. The statistical population of the present study is all high school students of smart schools in Golestan province. 378 students were selected by multi-stage cluster sampling. Data collection tools included: a) Midgley et al. Achievement Goals Questionnaire (1998), b) Hosein Chari and Dehghanizadeh Academic Standardization Questionnaire (1391) and c) Jafari Hajati Smart Schools Performance Questionnaire (1385). Descriptive statistics methods (concentration criteria, dispersion criteria and frequency tables with associated graphs) were used for data analysis. Then, confirmatory factor analysis and structural equation modeling were used to evaluate and test the hypotheses based on the obtained results. LISREL software was used to analyze the direct and indirect relationship between research variables in the final research model. The results indicate that there is a positive and significant relationship between the efficiency of smart schools and the achievement goals. There is a significant relationship between academic vitality and smart school performance. And the components of smart school goals and material and human resources have the highest regression impact in predicting progress goals.
