SECONDARY SCHOOL STUDENTS’ APTITUDE IN SCIENCE - A STUDY
DOI:
https://doi.org/10.29121/shodhkosh.v7.i13s.2026.8439Keywords:
Aptitude, Secondary Education, Socio-Demographic Factors, Gender Analysis, Educational InequalityAbstract [English]
Aptitude represents a learner’s cognitive readiness to acquire knowledge and apply reasoning skills in academic contexts. The present investigation examines aptitude levels among secondary school students with specific reference to gender and selected socio-demographic variables. A balanced sample of 100 students (50 boys and 50 girls) was drawn from different schools representing rural and urban localities, government and private management, various mediums of instruction, parental educational qualifications, parental professional status, and economic background. Descriptive statistics and an independent samples t-test were employed. The overall aptitude mean was 41.82 (SD = 6.04). Boys recorded a mean of 41.35 (SD = 6.52), while girls obtained 42.29 (SD = 5.51). The calculated value, t(98) = 0.78, p> .05, indicated no statistically significant gender difference. However, observable variations emerged across socio-economic and parental educational categories. The findings underscore the influence of social capital on aptitude development and highlight the necessity of inclusive educational strategies.
References
Anastasi, A., & Urbina, S. (1997). Psychological testing (7th ed.). Prentice Hall.
Binet, A., & Simon, T. (1916). The development of intelligence in children (E. S. Kite, Trans.). Williams & Wilkins. (Original work published 1905)
Cattell, R. B. (1971). Abilities: Their structure, growth, and action. Houghton Mifflin.
Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35(1), 13–21. https://doi.org/10.1016/j.intell.2006.02.001
Gagné, F. (2004). Transforming gifts into talents: The DMGT as a developmental theory. High Ability Studies, 15(2), 119–147. https://doi.org/10.1080/1359813042000314682
Gardner, H. (2011). Frames of mind: The theory of multiple intelligences (3rd ed.). Basic Books.
Gottfredson, L. S. (1997). Mainstream science on intelligence: An editorial with 52 signatories. Intelligence, 24(1), 13–23. https://doi.org/10.1016/S0160-2896(97)90011-8
Horn, J. L., & Cattell, R. B. (1966). Refinement and test of the theory of fluid and crystallised intelligence. Journal of Educational Psychology, 57(5), 253–270. https://doi.org/10.1037/h0023816
Lubinski, D. (2004). Introduction to the special section on cognitive abilities: 100 years after Spearman’s hypothesis. Journal of Personality and Social Psychology, 86(1), 96–111. https://doi.org/10.1037/0022-3514.86.1.96
National Research Council. (2012). A framework for K–12 science education: Practices, crosscutting concepts, and core ideas. National Academies Press.
Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. Cambridge University Press.
Sternberg, R. J., & Zhang, L. F. (2001). Perspectives on thinking, learning, and cognitive styles. Lawrence Erlbaum Associates.
Wakale, S. and Pandey, N. (2026). Fostering Happiness: The Role of Spiritual Intelligence in Students' Emotional Health., ShodhSamajik: Journal of Social Studies., 3(1), 158-163. https://doi.org/10.29121/ShodhSamajik.v3.i1.2026.92
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 T. R. Bhargavi, P. Renuka

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.






















