Academic Buoyancy

Purpose: in the present study, the relationship between cognitive emotion regulation and academic buoyancy with the role of mediating self-disability in students has been studied. Methodology: The present study was descriptive-correlational. The research population included all female secondary school students in Sabzevar City. 323 students were randomly selected as the sample in a multistage cluster sampling method. They completed Jones and Rodwellt Self-Handicapping Scale (1982), Garnfesky, Kareev and Spinhaun (2001) Emotional Cognitive Regulation Questionnaire and Dehghanizadeh and حسینchary (2012) Academic Buoyancy Questionnaire. Findings: The results of the research indicated that the model of the research had excellent fitting and self-handicapping has a mediating role in the relationship between emotional cognitive regulation and students’ academic buoyancy. Also, 79% of the variations in academic buoyancy are explained through the strategies of positive and negative cognitive emotion regulation and academic self-handicapping and 74% of the variations in academic self-handicapping are explained through the strategies of positive and negative emotion cognitive regulation. Discussion: As a result, it should be acknowledged that students who grow up to develop strong emotions could handle social barriers and pressure well, and manage behaviors that can mitigate their academic achievement. Therefore, the emotional stress of students in dealing with stressful situations affects self-handicapping and, consequently, their academic buoyancy.

Purpose: The aim of this research was investigating the relationship of teachers’ emotional maturity and perception of teacher behavior and students' academic buoyancy. Methodology: Present study in terms of purpose was applied and in terms of implementation was descriptive from type of correlation. The research statistical population was all teachers and students of fofth and sixth grade of elementary school (86 teachers and 2576 students) of Neyriz city in 2018-19 academic years. According to Krejcie and Morgan table, the research sample was 70 teachers and 350 students who were selected by cluster sampling method. The research tools were the questionnaires of emotional maturity (Singh & Bhargava, 1990), perception of teacher behavior (شریفی, 1989) and academic buoyancy (DehghaniZadeh & HoseinChari, 2012). Data were analyzed by methods of Pearson correlation coefficients and multivariate regression with enter model in SPSS software version 22. Findings: The findings showed that teachers’ emotional maturity and dimensions of social Incompatibility and lack of independence had a negative and significant relationship with perception of teacher behavior and teachers’ emotional maturity and dimensions of personality collapse and lack of independence had a negative and significant relationship with students' academic buoyancy. Other results showed that the dimensions of teachers’ emotional maturity could significantly explain 7.8% of changes in perception of teacher behavior and 11.7% of changes in students' academic buoyancy (P<0.05). Conclusion: According to the results of the present study, to improve the perception of teacher behavior and students' academic buoyancy can be increased the teacher's emotional maturity and its dimensions.

The present study aimed to investigate and compare the relationship between academic buoyancy, learning styles, and school bonding among students educated via the educational approaches of Mizan and public schools in Tehran. The study was descriptive-correlational. The statistical population comprised 2680 elementary-school students in Tehran in the 2018-2019 academic year. A sample of 600 was selected from public and guided discovery schools (300 students from public and 300 from Mizan guided discovery schools) based on stratified random sampling. The research tools included Martin and Marsh Academic Buoyancy Scale, Grasha-Riechmann Learning Style Survey (LSS), and Rezaei Sharif School Bonding Questionnaire (SBQ). Data were analyzed using the Pearson correlation coefficient and one-way analysis of variance (ANOVA). The results showed that the score of academic buoyancy was significantly higher among students receiving guided discovery than those receiving traditional education (p <0.05). The mean scores of avoidant and competitive learning styles were lower in students receiving guided discovery learning (p <0.05). Furthermore, the mean scores of school bonding and belief in school were higher among students receiving guided discovery than public education. (p <0.05). The study findings further highlighted the significance of considering learning styles and school bonding on academic buoyancy. It is considered a crucial step in understanding the factors affecting academic buoyancy in students.

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.

In recent years, dynamic assessment and positive psychology have attracted the attention of many researchers. This phenomenological study explores Iranian intermediate English as a Foreign Language (EFL) learners' perception of academic buoyancy, reflective thinking, and academic resilience in response to dynamic assessment. Data were gathered through narrative inquiry, observation, and focus group discussion involving 18 intermediate EFL learners at a language institute in South Iran. Member checking, peer debriefing, and audit trail were used to ensure the credibility and dependability of the instruments. Thematic analysis of the qualitative data revealed that dynamic assessment positively influenced learners' academic buoyancy by providing tailored scaffolding and support, fostering resilience in the face of academic challenges, and enhancing reflective thinking abilities. These findings suggest that integrating dynamic assessment techniques into language teaching practices contributes to students' adaptive coping mechanisms and ability to navigate academic setbacks, enhancing their academic success and overall well-being. The study underscores the importance of incorporating dynamic assessment approaches to cultivate resilient and empowered learners within EFL settings. This study contributes to understanding dynamic assessment's role in fostering academic resilience and reflective thinking in language learning contexts. The implications of the study are discussed.

Improving students' academic buoyancy is a priority of education and health systems. The main purpose of this study was structural analysis of the relationship between health literacy, organizational support, school climate with students' academic buoyancy by teachers’ and school nurses’ job performance mediation in health promoting schools. The method of this correlation research is based on structural equation model. 160 health promoting schools were selected by stratified random sampling and two teachers, one health nurse and two students were randomly selected from each school. In total, 160 health nurses, 320 teachers and 960 students were studied. Annual teachers’ and school nurses’ job performance score, health literacy, organizational support, school climate and academic buoyancy questionnaires were used to collect data. Smart-PLS structural equation model has been used to analyze the data. The path coefficient of direct effect of organizational support on the performance of teachers and school nurses was 0.48, the correlation between performance with academic buoyancy was 0.74, the correlation between school climate and performance was 0.33 (P <0.05). The path coefficient of indirect effects of organizational support on academic buoyancy mediated by the performance was 0.36 and also the indirect correlation between school climate and academic buoyancy mediated by the performance was 0.24 (P <0.05). The direct effect of school climate, organizational support and health literacy on academic buoyancy is not significant (P> 0.05). Attention to improving the performance and organizational support of teachers leads to improving the academic buoyancy of students.