Motahhare Tavajjohi; MohammadReza Tamannaeifar
Abstract
Test anxiety is one of the most common educational problems among students that is growing, and therefore it is important to know the factors affecting it. Accordingly, the present study was conducted to investigate the relationship between perceived social support and academic resilience with test anxiety. ...
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Test anxiety is one of the most common educational problems among students that is growing, and therefore it is important to know the factors affecting it. Accordingly, the present study was conducted to investigate the relationship between perceived social support and academic resilience with test anxiety. The method of the present study is descriptive and correlational. The statistical population included all- female high school students in Kashan in the academic year 1399-1400. Three hundred and sixteen students were selected by multi-stage cluster sampling. To collect data, the Multidimensional Social Support Scale of Zimet et al. (1988), the Martin Academic Equality Questionnaire (2003), and the Spielberger Test Anxiety Scale (1980) were used. Pearson correlation test and regression analysis with SPSS software were used to analyze the data. The results of data analysis showed that test anxiety had a significant relationship with social support (r = -0 <23, p <0.01) and academic resilience (r = -0.63, p <0.01). The results of regression analysis showed that predictor variables (social support and academic resilience) were able to predict 0.397 of the variance of the criterion variable (test anxiety). Therefore, it can be said that social support and academic resilience act as predictor variables for test anxiety, with increasing resilience in academic situations and social support, the level of test anxiety in students decreases. The findings of the present study have practical implications for educational psychologists and school counselors to perform educational-counseling interventions to control students' test anxiety
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.
Fateme Anvari; Farzaneh Mikaeli manee
Abstract
Developing a causal model of subjective well being based on academic resilience and mediating roles of teacher-student relationship, school climate and emotional adjustment is the main aim of this research. Subjective well-being is one of the important indicators of quality of life which is under the ...
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Developing a causal model of subjective well being based on academic resilience and mediating roles of teacher-student relationship, school climate and emotional adjustment is the main aim of this research. Subjective well-being is one of the important indicators of quality of life which is under the influence of many variables including biological, social, personality, occupational, etc. The statistical population consisted of all high school students in Urmia and participants were 350 students who were selected by multi-stage random sampling and responded to the questionnaire which was based on conceptual model. For fitting data with conceptual model, we used partial least square method (next generation of path modeling).Among the significant findings of this study, we can mention the direct effect of academic resilience on student teacher relationship, emotional adjustment, and school climate as well as the direct effects of emotional adjustment and teacher student relationship on subjective well being. In sum, the revised model of the present study could explain 30% of the variance of subjective well-being, which indicates the importance of the variables in the model.Among the significant findings of this study, we can mention the direct effect of academic resilience on student teacher relationship, emotional adjustment, and school climate as well as the direct effects of emotional adjustment and teacher student relationship on subjective well being. In sum, the revised model of the present study could explain 30% of the variance of subjective well-being, which indicates the importance of the variables in the model.
Behroz Foroghi Pordanjani; Aliakbar Sharifi
Abstract
The aim of the current study was explaining the relationship of self-discrepancy and academic resilience with academic procrastination in students. The research method was descriptive-correlational. The statistical population of the present study included all students of Shahrekord University of Medical ...
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The aim of the current study was explaining the relationship of self-discrepancy and academic resilience with academic procrastination in students. The research method was descriptive-correlational. The statistical population of the present study included all students of Shahrekord University of Medical Sciences, from which 242 students were selected by cluster sampling. Higgins` scale of self-discrepancies (1987), samuels` academic resilience questionnaire (2004), and sevari` academic procrastination questionnaire (2012) were used for collecting the data. For data analysis, Pearson correlation quotient and Stepwise multiple regression were used. The results showed a positive and significant correlation between ought-actual (r = 0.36) and actual -ideal (r = 0.39) with academic procrastination but not between resilience and academic procrastination.In addition, stepwise regression analysis showed that among the predictor variables, the actual-ideal self-discrepancy could predict more than 15% of the variance of academic procrastination. People with self-discrepancy are more likely to be procrastinating. Ideal-actual self-discrepancy is also the strongest predictor of procrastination. Thus, students who experience a great deal of difference between their actual and ideal self are more procrastinating than those who experience a difference between their actual and ought self.
