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March 7, 2026Open Access

Scientific Career Aspirations Among Indian Students: The Roles Of Science Capital, Self-Efficacy, And Social Context.

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Authors

JSJeffrin Joseph StephenDGDr Sangeeta Gupta

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Overview

Empirical report examines the roles of science capital and self-efficacy in shaping career aspirations in Indian students, suggesting impactful interventions.

Key Points

  • This research aims to investigate how science capital, self-efficacy, and social context influence Indian students' aspirations for scientific careers.
  • Cross-sectional survey design with a sample of 480 students from Classes XI-XII and first-year undergraduates
  • Measurement of constructs like science capital, self-efficacy, and perceived barriers using a standardized questionnaire
  • Analysis through multiple regression to determine predictive factors for scientific career aspirations
  • Science self-efficacy and science capital were found to be the strongest predictors of scientific career aspirations
  • Perceived barriers negatively impacted students' aspirations
  • Sex differences in aspirations were linked to variations in self-efficacy and access to mentoring

Cite This Study

Stephen et al. (2026) studied this question.

synapsesocial.com/papers/69abc2725af8044f7a4ec1edhttps://doi.org/10.5281/zenodo.18874390
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Science Career Choices Among Indian Youth: Determinants, Trends, And Implications2026
  2. 2Pathways to STEM aspirations: a multidimensional structural model of 9th-grade students2026
  3. 3Would a career in science suit me? Students’ self-views in relation to science and STEM career aspirations2024 · 5 citations
  4. 4School students’ aspirations for STEM careers: the influence of self-concept, parental expectations, career outcome expectations, and perceptions of STEM professionals2024 · 9 citations
  5. 5Examining key capitals contributing to students' science‐related career expectations and their relationship patterns: A machine learning approach2024 · 15 citations