The Study of Effective of Academic Self-Efficacy and Meta-Cognitive Skills on Academic Achievement of Agricultural Students of Saravan Institute of Higher Education

Document Type : Research Paper

Authors

1 Assistant Professor, Agricultural Extension Education, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran

2 M.Sc. Student in Agricultural Extension Education, Faculty of Agricultural Economics and Development, University of Tehran, Karaj, Iran

3 Ph.D. student extension and education agriculture, Faculty of Agriculture, University of Tehran, Karaj, Iran

Abstract

One of the basic issues of educational life of individuals and the education system of countries is academic failure and the slow and uneven progress of academic achievement among students. Generally, academic achievement as a dependent variable is not affected by only one factor, but there are several factors such as cognitive and meta-cognitive skills that could affect it. In this study, we used structural equation modeling to investigate the effect of meta-cognitive skills and Academic self-efficacy on academic achievement of students. We provided a questionnaire consists of subscales of meta-cognitive skills, educational self-efficacy and achievement using Morgan table and the stratified sampling method with proportional allocation of 120 agricultural students of Saravan Institute of higher education to be answered. Results showed that there is a significant and a direct relationship between the meta-cognitive skills and academic self-efficacy. Academic self-efficacy also has a direct and significant effect on educational achievement of students, but meta-cognitive skills affect Academic achievement in an indirectly. In the following, we discussed the results and presented a few suggestions for improving meta-cognitive skills and academic self-efficacy of students.

Keywords

References

  1. Abedini, Y., Bagherian, R., Kadkhodaie, M.S.  (2010). The relation among motivational beliefs, cognitive and metacognitive strategies and academic achievement: Testing of Alternative models. Journal of Advances in Cognitive Science, 12(3): 34-48. (In Farsi)
  2. Bandura, A. (1997). Self-efficacy: the exercise of control, Freeman, New York.
  3. Baradaran, H., Shajari, J., & Alirezaei Tehrani, S. (2014). An assessment of the relationship between the meta-cognitive awareness of reading strategies and students' achievement in Iran University of Medical Sciences in 2012-2013. Journal of Medical Education and Development, 2014; 9(2): 2-13. (In Farsi).
  4. Baron, R.A. and Byrne, D. (1997). Social Psychology. New York: Allyn and Bacon.
  5. Bradford, S. Bell., and Steve, W. J. (2006). The role ofmetacognitive state components on academicperformance. Journal of Applied psychology, 93(2): 296-316.
  6. Dewey, J. (1933). How We Think. Lexington, Massachusetts: D.C. Heath & Co- Publisher
  7. Ferguson, E., James, D., & Madeley, L. (2002). Factors associated with success in medical school: Systematic review of the literature, BMJ; 324(7343):952-7.
  8. Flavell, J.H. (1987). Speculations about the nature and development of metacognition. In Weinert, F.E. & Kluwe, R.H., (Eds.), Metacognition, motivation and understanding. pp. 21-29. Hillsdale, New Jersey: Lawrence Erlbaum Associates.
  9. Flavell, JH. (1979). Metacognition and cognitive monitoring: a new area of psychological in Turin. Am Psychology 34.906-911.
  10. Halpenny, D., Cadoo, K., Halpenny, M., Burke J., Torreggiani WC. (2010). The Health Professions Admission Test (HPAT) score and leaving certificate results can independently predict academic performance in medical school: Do we need both tests?. Iran Med J.103 (10):300-2.
  11. Karshki, H. (2001). The study of effective of Education on metacognition Strategies in Student Comperhension. Psychology Jornal. 6 (1): Pp . 80-86.
  12. Manuel, J., Francisco, J., and Felix, A. (2009). Exploring the impact of Individualism and uncertainty avoidance in web-based electronic learning: an empirical analyses in European higher Education. Computers & Education, 52, 588-598.
  13. Marcel, MA. (2006). Relation between Intellectual and MetacognitiveSkills: Age and Task Differences. Learning and Individual Differences; 15(2):159-176.
  14. Merriam-Webster. (2012). Retrieved 14 March 2012, from www.merriam-webster.com/ dictionary/ metacognition.
  15. Murise,. P. (2001). A brief questionnaire for measuring self-efficacy in children, 23,145-148.
  16. Paris, S. (1986). Children’s reading strategies, metacognition, and motivation. Developmental Review, 6(1), 25–56.
  17. Pintrich, P.R., & De Groot, E.V. (1990). Motivational and self - regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33-40.
  18. Pitt, V., Powis, D., Levett-Jones, T., Hunter, S. (2010). “Factor’s influencing nursing students' academic and clinicalperformance and attrition: An integrative literature review”. Nurse Educ Today. [Epub ahead of print]
  19. Salarifar, M. (2009). State the role of metacognition in academic performance. Journal of Applied Psychology. 3(4(12)): 102-112.
  20. Salehi, M (2014). Meta-Analysis of the Effectiveness of cognitive training on academic performance. Biquarterly Journal of Cognitive Strategies in Learning. Vol 1, No 1,Fall & Winter 2014.
  21. Schraw, G. (1998). Promoting general metacognition awareness. , nstr 6ci 26, 113-125.
  22. Soares, AP., Guisande AM., Almeida, LS., Paramo, FM. (2009). Academic achievement in first-year Portuguese college students: The role of academic preparation and learning strategies. Int J Psychol 44(3):204-12.
  23. Woul, F. (2004). The stress process, self- efficacy expectations, and psychological health, Personality and Individual Differences. 37, 1033-1043.
  24. Zahra Kar, k. (2007). The study of the relationship between dimensions of emotional intelligence and academic achievement. Applied psychology, Vol.2. No. 5.
  25. Zohar, A. (2009). Paving a clear path in a thick forest: a conceptual anal- ysis of a metacognitive component. Metacognition /earning 4, 177-195.
Iranian Journal of Agricultural Economics and Development Research
Volume 49, Issue 4
November 2018
Pages 749-764

Files

Share

How to cite

Statistics