The impact of big five personality trait in predicting student academic performance
Journal of Applied Research in Higher Education
ISSN: 2050-7003
Article publication date: 13 July 2023
Issue publication date: 5 March 2024
Abstract
Purpose
The study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP.
Design/methodology/approach
The authors gathered information from 305 university students from Al-Zintan University Libya. The study uses a survey questionnaire to collect data on essential variables. The purpose of the questionnaire is to discover variables that affect students' academic performance. The survey questionnaire has 44 closed questions with Likert scale designs that were distributed to a variety of college students at the start of the first semester of 2022. It includes questions about demographics, personality, employment and institutional aspects. The authors proposed a predictive model to identify the main fundamental components, consisting of one dependent variable (SAP) and five independent constructs. The suggested model is tested using partial least squares (PLS) and structural equation modeling (SEM), which perform better than covariance-based structural equation modeling (CB-SEM). PLS-SEM performs well with smaller sample sizes, even for complicated models.
Findings
The study results show that the proposed model accurately predicted the student's academic performance. The personality trait variables are a key factor that determines the actual student's academic performance. The student's academic performance is significantly impacted by each variable in the personality trait variables as well.
Originality/value
The process of validating research was done empirically through the accuracy and efficiency of model performance. The study differs from previous studies in that it accumulated a wide range of factors from different dimensions, including student demographics and personality trait factors. The authors developed a structural equation model to predict students' academic performance.
Keywords
Acknowledgements
This work was supported in part by the Ministry of Higher Education Malaysia and in part by the Universiti Sains Malaysia (USM) for Long-Term Research Grant Scheme (LRGS) Malaysian Research University Network (MRUN) under Project LRGS MRUN/F2/01/2019.
Citation
Shaninah, F.S.E. and Mohd Noor, M.H. (2024), "The impact of big five personality trait in predicting student academic performance", Journal of Applied Research in Higher Education, Vol. 16 No. 2, pp. 523-539. https://doi.org/10.1108/JARHE-08-2022-0274
Publisher
:Emerald Publishing Limited
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