Impact of Self-Regulated Learning and Academic Intelligence on Student Behaviour and Cognitive Development

Authors

  • Sonia Thakur Department of Education, Desh Bhagat University, Mandi Gobindgarh, Dist. Fatehgarh Sahib, Punjab, India Author
  • Dr. Deepu Kumar Singh Supervisor, Department of Education, Desh Bhagat University, Mandi Gobindgarh, Dist. Fatehgarh Sahib, Punjab, India Author

Keywords:

Cognitive Behaviour, Self-Regulated Learning, Academic Intelligence, Student Behaviour

Abstract

The study investigates the interconnected roles of metacognitive strategies and intellectual capacities in shaping student outcomes. In contemporary educational contexts, learning is no longer perceived as a passive reception of knowledge but as an active, self-directed process where students take ownership of their academic journey. Self-regulated learning, defined as the ability to plan, monitor, and evaluate one’s own learning activities, fosters autonomy, persistence, and adaptability, enabling students to overcome challenges through strategic effort. Academic intelligence, encompassing cognitive abilities such as reasoning, memory, comprehension, and problem-solving, provides the foundational capacities that support learning. The integration of these constructs demonstrates that intelligence alone does not guarantee academic success; rather, it is the effective regulation of intellectual resources through self-monitoring and self-discipline that leads to meaningful educational achievement. This study highlights that the impact of self-regulated learning and academic intelligence extends beyond academic performance into the domain of behaviour and personality development. Students who demonstrate strong self-regulatory capacities tend to cultivate constructive behavioural patterns such as responsibility, resilience, and collaborative engagement, while also avoiding maladaptive tendencies like procrastination and academic disengagement. Similarly, the cognitive development associated with academic intelligence—enhanced critical thinking, metacognitive awareness, and analytical reasoning—enables learners to internalize knowledge more effectively and apply it across contexts. The study underscores that the synergy between self-regulated learning and intelligence produces a holistic form of growth that integrates academic achievement with behavioural maturity.

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References

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman.

Boekaerts, M., Pintrich, P. R., & Zeidner, M. (Eds.). (2000). Handbook of self-regulation. Academic Press.

Duckworth, A. L., & Seligman, M. E. P. (2006). Self-discipline gives girls the edge: Gender in self-discipline, grades, and achievement test scores. Journal of Educational Psychology, 98(1), 198–208.

Klassen, R. M., Krawchuk, L. L., & Rajani, S. (2008). Academic procrastination of undergraduates: Low self-efficacy to self-regulate predicts higher levels of procrastination. Contemporary Educational Psychology, 33(4), 915–931.

Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385–407.

Schunk, D. H., & Zimmerman, B. J. (Eds.). (2012). Motivation and self-regulated learning: Theory, research, and practice. Routledge.

Steel, P. (2007). The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133(1), 65–94.

Tuckman, B. W. (2005). Academic procrastinators: Their rationalizations and strategies for academic achievement. Psychological Reports, 96(3), 803–816.

Wolters, C. A. (2003). Understanding procrastination from a self-regulated learning perspective. Journal of Educational Psychology, 95(1), 179–187.

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Published

12-05-2025

Issue

Section

Research Articles

How to Cite

[1]
Sonia Thakur and Dr. Deepu Kumar Singh, Trans., “Impact of Self-Regulated Learning and Academic Intelligence on Student Behaviour and Cognitive Development”, Int J Sci Res Sci & Technol, vol. 12, no. 3, pp. 1444–1451, May 2025, Accessed: Jan. 11, 2026. [Online]. Available: https://www.ijsrst.technoscienceacademy.com/index.php/home/article/view/IJSRST251263102