Predicting a school bonding based on academic optimism and emotional schemas
Authors
Abstract:
Abstract Introduction: Studentschr('39') relationship with school is one of the most important aspects of education, several variables can be involved in this relationship and affect it. In this regard, the present study was conducted with the aim of predicting school-based relationships based on academic optimism and emotional schemas. Method: The present study was descriptive and correlational and its statistical population consisted of all high school students in Kangavar in the academic year 1399-99. A total of 200 individuals were selected by multi-stage cluster sampling. Measurement tools were questionnaires related to Rezaei Sharif et al. (2011), Shearer and Carverchr('39')s academic optimism questionnaire and Leahy emotional schema questionnaire. Data were analyzed using SPSS version 23 using Pearson correlation coefficient and regression analysis. Results: The results showed that there was a positive and significant relationship between optimism and emotional schemas associated with the school of students. Also, 52% of the total variance of the connection with the school of students can be predicted based on optimism and emotional schemas. Conclusion: Accordingly, predictor variables can be considered as important and key components in the relationship and connection of students with school, and awareness of parents and teachers can lead to deepening and strengthening the connection with studentschr('39') school.
similar resources
Predicting academic engagement based on academic optimism, competency perception and academic excitement in students
Purpose: Academic engagement as a basis for reformist efforts in the field of education is very important in achieving learning experience so that indirectly guarantees studentschr('39') academic achievement. Therefore, purpose of this study was to prediction of academic engagement based on academic optimism, perception competence and achievement emotions in students. The descriptive- correlati...
full textPredicting academic Burnout in Undergraduate Students of Tabriz University Based on Emotional regulation and academic Stress
Introduction: The purpose of this study was to investigate predictors of academic burnout in undergraduate students of Tabriz University based on emotion regulation strategies and academic stress. Method: The research method was descriptive-correlational based on the purpose of data collection. The statistical population of the study consisted of all undergraduate students of Tabriz University...
full textPredicting Students’ Academic Engagement Based on Academic Support and Family Emotional Climate: The Mediating Role of Academic Emotions
This study was carried out to predict academic engagement based on academic support and family emotional climate with the mediating role of academic emotions. This cross-sectional research had a descriptive-correlational design. The statistical population of the study comprised all female junior high school students in Semnan in 2019-20 school year from among whom 236 individuals were selected ...
full textPredicting academic procrastination based on basic psychological needs, academic hope and academic identity in tenth grade male high school students
The aim of this study was to investigate the relationship between basic psychological needs (autonomy, competence, communication), academic hope, and academic identity with academic procrastination in 10th-grade high school male students in theoretical disciplines. The research method is descriptive and correlational. The statistical population of the study was all 10th-grade male high school s...
full textPredicting loneliness based on emotional expressions and emotional ambivalence
Feelings of loneliness, excitement, and emotional ambiguity is one of the most common psychopathological complaints, which can have serious consequences for mental health. The aim of this study was to predict the feeling of loneliness based on the expression of emotion and emotional ambiguity. The method of the present study was a correlation. The statistical population of the present study inc...
full textpredicting academic procrastination based on psychological distress and corona anxiety
The aim of this study was to predict Academic procrastination based on psychological Distress and corona anxiety. The statistical population in this study was all first and second secondary school students in Bojnourd in the academic year 1399-1400, from which 400 people were selected by multistage cluster Sampling and Academic procrastination questionnaire (APS, savari ,2011), psychological Di...
full textMy Resources
Journal title
volume 15 issue 1
pages 19- 27
publication date 2022-03
By following a journal you will be notified via email when a new issue of this journal is published.
No Keywords
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023