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MEJDS (2021) 11: 13 |
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Barsalani N, Ebrahimi Alavikolaei S, sadeghi J, Mohammad Zadeh R. The Relationship between Brain-Behavioral Systems and Academic Self-Efficacy in Senior High School Male Students. MEJDS 2021; 11 :13-13
URL: http://jdisabilstud.org/article-1-2358-en.html
URL: http://jdisabilstud.org/article-1-2358-en.html
1- Department of Psychology, Faculty of Humanities, Babol Branch, Islamic Azad University
2- Department of Psychology, Islamic Azad University, Ayatollah Amoli Branch
3- Department of Psychology، Islamic Azad University
4- Department of Psychology, Payam Noor University, Tehran
2- Department of Psychology, Islamic Azad University, Ayatollah Amoli Branch
3- Department of Psychology، Islamic Azad University
4- Department of Psychology, Payam Noor University, Tehran
Abstract: (943 Views)
Background & Objectives: Brain–Behavioral system, in the form of Reinforcement Sensitivity Theory (RST), explains the nature of individual differences at bio–neurological levels and justifies individual differences in students' academic performance. According to RST, brain–behavioral systems are divided into behavioral inhibition and behavioral activation systems. Furthermore, academic self–efficacy strongly affects academic success in different stages of life. Our cognitive interpretations of our successes and failures affect our self–efficacy beliefs. Given the importance of the role of self–efficacy and behavioral–brain systems in all aspects of students' lives, especially training courses, it is necessary to pay attention to improve academic self–efficacy and behavioral–brain systems. Thus, the present study aimed to investigate the relationship between behavioral activation/inhibition systems and academic self–efficacy in senior high school male students.
Methods: The current study was of a descriptive–correlational nature. The study population consisted of all male high school students in Gonbad Kavous City, Iran. Of them, 230 students were selected by cluster sampling technique. The inclusion criteria of this study included being a second high school student of the three grades (tenth, eleventh, and twelfth), male, aged 15–18 years, and residing in Gonbad Kavous City. Furthermore, a signed informed consent form was obtained from the participating students and their parents. In addition, we observed the absence of biopsychological illnesses that impair function and the lack of specific medications use. All participants who failed to accurately complete the research questionnaires were excluded from the study. Measurement tools were the Behavioral Activation/Inhibition Systems Scale (Carver & White, 1994) and the Academic Self–Efficacy Scale (Jinks & Morgan, 1999). The obtained data were analyzed by descriptive statistics (mean & standard deviation) and inferential statistics, including Pearson correlation coefficient and regression analysis methods in SPSS. The significance level of the tests was considered to be 0.01 and 0.05.
Results: According to the present research findings, negative and significant correlations were observed between behavioral inhibition systems and academic self–efficacy (r=–0.44, p<0.01) in the study subjects. There was also a positive and significant correlation between behavioral activation system and academic self–efficacy in the explored students (r=0.40, p<0.01). Behavioral inhibition system (β=–0.310, p<0.001) and behavioral activation system (β=0.274, p<0.001) could directly predict academic self–efficacy in the study participants.
Conclusion: According to the research findings, behavioral inhibition systems and behavioral activation systems can directly predict academic self–efficacy in senior high school male students. By reducing behavioral inhibition and increasing behavioral activation, academic self–efficacy can be improved; thus, it is necessary to enhance academic self–efficacy among students.
Methods: The current study was of a descriptive–correlational nature. The study population consisted of all male high school students in Gonbad Kavous City, Iran. Of them, 230 students were selected by cluster sampling technique. The inclusion criteria of this study included being a second high school student of the three grades (tenth, eleventh, and twelfth), male, aged 15–18 years, and residing in Gonbad Kavous City. Furthermore, a signed informed consent form was obtained from the participating students and their parents. In addition, we observed the absence of biopsychological illnesses that impair function and the lack of specific medications use. All participants who failed to accurately complete the research questionnaires were excluded from the study. Measurement tools were the Behavioral Activation/Inhibition Systems Scale (Carver & White, 1994) and the Academic Self–Efficacy Scale (Jinks & Morgan, 1999). The obtained data were analyzed by descriptive statistics (mean & standard deviation) and inferential statistics, including Pearson correlation coefficient and regression analysis methods in SPSS. The significance level of the tests was considered to be 0.01 and 0.05.
Results: According to the present research findings, negative and significant correlations were observed between behavioral inhibition systems and academic self–efficacy (r=–0.44, p<0.01) in the study subjects. There was also a positive and significant correlation between behavioral activation system and academic self–efficacy in the explored students (r=0.40, p<0.01). Behavioral inhibition system (β=–0.310, p<0.001) and behavioral activation system (β=0.274, p<0.001) could directly predict academic self–efficacy in the study participants.
Conclusion: According to the research findings, behavioral inhibition systems and behavioral activation systems can directly predict academic self–efficacy in senior high school male students. By reducing behavioral inhibition and increasing behavioral activation, academic self–efficacy can be improved; thus, it is necessary to enhance academic self–efficacy among students.
Type of Study: Original Research Article |
Subject:
Psychology
References
1. 1. Basharpoor S, Drodi J, Mahmoodzadeh S. The role of brain-behavioral systems and morningness-eveningness types in predicting students’ academic achievement. Educational Psychology. 2018;14(49):203–20. [Persian] [DOI]
2. 2. Oguchi M, Takahashi F. Behavioral inhibition/approach systems constitute risk/protective pathways from ADHD symptoms to depression and anxiety in undergraduate students. Personality and Individual Differences. 2019;144:31–5. [DOI]
3. 3. Merchán-Clavellino A, Alameda-Bailén JR, Zayas García A, Guil R. Mediating effect of trait emotional intelligence between the Behavioral Activation System (BAS)/Behavioral Inhibition System (BIS) and positive and negative affect. Front Psychol. 2019;10:424. [DOI]
4. 4. Ide JS, Li H-T, Chen Y, Le TM, Li CSP, Zhornitsky S, et al. Gray matter volumetric correlates of behavioral activation and inhibition system traits in children: An exploratory voxel-based morphometry study of the ABCD project data. NeuroImage. 2020;220:117085. [DOI]
5. 5. Liu G, Cheng G, Hu J, Pan Y, Zhao S. Academic self-efficacy and postgraduate procrastination: a moderated mediation model. Front Psychol. 2020;11:1752. [DOI]
6. 6. Towhidi A, Karimi Bahrasmani A. The effectiveness of attention training on math academic achievement and academic self-efficacy in students with borderline intelligence quotient. Middle Eastern Journal of Disability Studies. 2018;8:45. [Persian] [Article]
7. 7. Saadat S, Asghari F, Jazayeri R. The relationship between academic self-efficacy with perceived stress, coping strategies and perceived social support among students of University of Guilan. Iranian Journal of Medical Education. 2015;15:67–78. [Persian] [Article]
8. 8. Nazaripour A, Laie S. Reverse learning on academic self-efficacy and mathematical learning in students with learning disabilities. Middle Eastern Journal of Disability Studies. 2020;10:7. [Persian] [Article]
9. 9. Bedel EF. exploring academic motivation, academic self-efficacy and attitudes toward teaching in pre-service early childhood education teachers. Journal of Education and Training Studies. 2015;4(1):142–9. [DOI]
10. 10. Agha Yoosefi A, Khodaie A, Shokri O. Academic stress, academic self-efficacy and academic achievement among undergraduate students title. Journal of Educational Psychology Studies. 2014;10(18):41–66. [Persian] [DOI]
11. 11. Erdle S, Rushton JP. The General Factor of Personality, BIS–BAS, expectancies of reward and punishment, self-esteem, and positive and negative affect. Personality and Individual Differences. 2010;48(6):762–6. [DOI]
12. 12. Purkord M, Abolghasemi A, Narimani M, Rezaee H. Direct and indirect impact of self-efficacy, impulsivity, behavioral activation-inhibition and social skills on substance abuse in students. Scientific Quarterly Research on Addiction. 2013;7(26):11–28. [Persian] [Article]
13. 13. Lim S-M, Hong E-J, Yang I-H, Lim J-K. Correlation of behavioral inhibition/activation system about science learning to self-efficacy. Journal of The Korean Association For Science Education. 2011;31(5):758–69. [Korean] [DOI]
14. 14. Hassanzadeh R. Research methods for behavioral sciences. Tehran: Savalan Pub; 2011. [Persian]
15. 15. Carver CS, White TL. Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales. Journal of Personality and Social Psychology. 1994;67(2):319–33. [DOI]
16. 16. Abdollahi R, Bakhshipour R, Mahmoodaliloo M. Validity and reliability of Behavioral Inhibition and Activation Systems (BIS/BAS) scales among Tabriz university students. Journal of Modern Psychological Researches. 2013;7(28):123–39. [Persian] [Article]
17. 17. Jinks J, Morgan V. Children’s perceived academic self-efficacy: an inventory scale. The Clearing House: A Journal of Educational Strategies, Issues and Ideas. 1999;72(4):224–30. [DOI]
18. 18. Mazaheri Z, Sadeghi A. Development and evaluating the reliability and validity of the students’ academic self-efficacy questionnaire. New Educational Approaches. 2016;10(2):61–80. [Persian] [Article]
19. 19. Mautz CP, Hill RW, Hueslman TJ, Bazzini DG. Behavioral activation and behavioral inhibition predict perfectionism. Psychology and Behavioral Sciences. 2017;6(4):59. [DOI]
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