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Influence of various factors on academic performance

Author

Listed:
  • Shevelova, Anastasia
  • Melnyk, Anna
  • Motliuk, Mark

Abstract

This study delves into the determinants of academic success among students at the Kyiv School of Economics, exploring the influence of various factors on their academic performance. Drawing upon a sample of 72 participants, encompassing both bachelor's and master's students, this research investigates the impact of participation, attendance, confidence levels, social media usage, and the relevance of work spheres on students' Grade Point Average (GPA). Employing multivariate linear regression analysis, the study uncovers various insights, revealing that active class engagement, high attendance rates, strong self-belief, limited social media use, and relevance of work to studies significantly correlate with higher GPA scores. Notably, factors like active participation and confidence in academic capabilities emerge as more consistent and robust predictors of academic success than others, echoing the nuanced interplay between various determinants and GPA outcomes. These findings offer valuable implications for educational strategies, suggesting avenues for fostering a conducive academic environment, particularly at KSE while advocating for further exploration into the multifaceted nature of academic success in diverse educational settings.

Suggested Citation

  • Shevelova, Anastasia & Melnyk, Anna & Motliuk, Mark, 2023. "Influence of various factors on academic performance," MPRA Paper 119700, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:119700
    as

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    References listed on IDEAS

    as
    1. Ralph Stinebrickner & Todd R. Stinebrickner, 2003. "Working during School and Academic Performance," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 449-472, April.
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    More about this item

    Keywords

    Academic performance; GPA; Multivariate linear regression; Determinants of academic success;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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