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Influence of mathematics on the academic performance of mechanical engineering students: a PLS-SEM approach

Author

Listed:
  • Ashish Kumar

    (Manipal University Jaipur)

  • Muskaan Arora

    (Manipal University Jaipur)

  • Monika Saini

    (Manipal University Jaipur)

Abstract

In educational research extracting information from the available academic data is always play prominent role. The main objective of present study is to develop a relationship model between mechanical engineering students core subject academic performance and mathematics courses academic performance. The relative data of 125 mechanical engineering students is collected from a university situated in Northern India to perform the present study. The partial least-square structural equation modelling (PLS-SEM) is used to examine the relationship of academic performance of mechanical engineering students. A measurement model is developed, and bootstrapping technique is used to test the significance of loadings and R-square values. The goodness-of-fit measures of PLS-SEM are derived. The Cronbach’s alpha value for all years is > 0.90, composite reliability and average variance extracted (AVE) > 0.99 while R-square > 0.9. These measures showed that proposed model is best fitted. It is revealed that mathematics performance significantly influences the academic performance of mechanical engineering students.

Suggested Citation

  • Ashish Kumar & Muskaan Arora & Monika Saini, 2023. "Influence of mathematics on the academic performance of mechanical engineering students: a PLS-SEM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 367-376, February.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:1:d:10.1007_s13198-022-01803-1
    DOI: 10.1007/s13198-022-01803-1
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    References listed on IDEAS

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