Document Type : Research Article (Quantitative)

Author

M.A, Department of Social Research, Dahaghan Unit, Islamic Azad University, Isfahan, Iran.

10.22034/ijes.2019.43745

Abstract

Purpose: The present study was conducted with the aim of the relationship between happiness and social development and self-regulation learning in elementary school students in Tehran in 1397.
Methodology: The research method was descriptive-correlational according to the purpose of the research. The statistical population consisted of all elementary students in Tehran, among which 257 people were selected as sample size using available sampling method. The data collection method was based on three standard questionnaires: Oxford Happiness Questionnaire (1990), Social Growth Winland (1953), and Self-Regulatory Learning Questionnaire (Pintrich et al., 1991). The reliability of the questionnaire was calculated using Cronbach's alpha method and its value for all three questionnaires was higher than 0.7. Also, content validity was used to test the validity of the questionnaire, which for this purpose; the questionnaires were approved by the relevant experts. Data analysis was carried out through SPSS software using descriptive and inferential statistics (Pearson correlation test, multiple regressions).
 Findings: The results of this study showed that there is a significant positive relationship between happiness and social development in elementary students. There is also a significant positive correlation between happiness and self-regulation learning in elementary students. Therefore, social development and self-regulation learning is a significant predictor of happiness in students. Conclusion: The findings of this study indicate the importance of increasing happiness in students with improvement in social development and self-regulation learning. These findings can be used to develop programs to increase the happiness of students.

Keywords

Abbasi, M., Dargahi, Sh., Pirani, Z. (2015). Role of procrastination and motivational self-regulation in predicting students’ academic engagement. Iranian Journal of Medical Education, 15: 160-169. Adler, M. D., Dolan, P., Kavetsos, G. (2017). Would you choose to be happy? Tradeoffs between happiness and the other dimensions of life in a large population survey. Journal of Economic Behavior & Organization, 139: 60-73.‌ AhmadiGatab, T., & Taheri, M. (2011). The relationship between psychological health, happiness and life quality in the students. Procedia-Social and Behavioral Sciences, 30: 1983-1985.‌ Alfred, M., Neyens, D. M., & Gramopadhye, A. K. (2019). Learning in simulated environments: An assessment of 4-week retention outcomes. Applied Ergonomics, 74: 107-117. Argyle, M., & Lu, L. (1990). The happiness of extraverts. Personality and Individual Differences, 11, 1011-1017. Black, J., Reynolds, W. M. (2013). Examining the relationship of perfectionism, depression, and optimism: Testing for mediation and moderation. Personality and Individual Differences, 54: 426-431. Broadbent, J. (2017). Comparing online and blended learner's self-regulated learning strategies and academic performance. The Internet and Higher Education, 33: 24-32. David, S. A., Boniwell, I., & Ayers, A. C. (2013). The Oxford handbook of happiness. Oxford: Oxford University Press. Debicki, B., Kellermanns, F., Barnett, T., Pearson, A., & Pearson, A. (2016). Beyond the Big Five: The mediating role of goal orientation in the relationship between core self-evaluations and academic performance. The International Journal of Management Education, 14: 273-285. Diener , E. , & Ryan , K. (2009). Subjective well-being: A general overview . South African Journal of Psychology , 39: 391 – 406. Donaldson, S. I., Dollwet, M., & Rao, M. A. (2014). Happiness, excellence, and optimal human functioning revisited: Examining the peer-reviewed literature linked to positive psychology. The Journal of Positive Psychology, 10(3): 185-195. Garcia, R., Falkner, K., Vivian, R. (2018). Systematic literature review: selfregulated learning strategies using e-learning tools for computer science. Computers & Education, 123: 150-163. Horvath, P. (2018). The relationship of psychological construals with well-being. New Ideas in Psychology, 51: 15-20.‌ Inghilleri, P. (2015). 1 Phenomenology of Positive Change: Social Growth. In Enabling Positive Change (pp. 6-17). Sciendo Migration.‌ Kuhnle, S. (2017). The growth of social insurance programs in Scandinavia: outside influences and internal forces. In Development of Welfare States in Europe and America (pp. 125-150). Routledge.‌ Lee W., Lee M. & Bong M. (2014). Testing interest and self-efficacy as predictors of academic self-regulation and achievement. Contemporary Educational Psychology, 39: 86-99. Luhmann, M., Necka, E. A., Schönbrodt, F. D., & Hawkley, L. C. (2016). Is valuing happiness associated with lower well-being? A factor-level analysis using the Valuing Happiness Scale. Journal of research in personality, 60: 46-50.‌ Lyubomirsky, S., & Layous, K. (2013). How do simple positive activities increase well-being. Current Directions in Psychological Science, 22(1): 57-62 Pintrich, P. R. Smith, D. A. Garcia, T. & McKeachie, W. I. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). National Center for Research to Improve Postsecondary Teaching and Learning. Ann Arbor: University of Michigan. Stiglitz, J. E., & Greenwald, B. C. (2015). Creating a learning society: a new approach to growth, development, and social progress. Columbia University Press.‌ Thomas, G. P. (2003). Conceptualisation, development and validation of an instrument for investigating the metacognitive orientation of science classroom learning environments: The Metacognitive Orientation Learning Environment Scale–Science (MOLES-S). Learning Environments Research, 6(2): 175-197.‌ Zimmerman, B. J., & Kitsantas, A. (2014). Comparing students’ self-discipline and self-regulation measures and their prediction of academic achievement. Contemporary Educational Psychology, 39(2): 145-155.‌