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DOI: 10.14569/IJACSA.2022.0130934
PDF

Student’s Performance Prediction based on Personality Traits and Intelligence Quotient using Machine Learning

Author 1: Samar El-Keiey
Author 2: Dina ElMenshawy
Author 3: Ehab Hassanein

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 9, 2022.

  • Abstract and Keywords
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Abstract: Apparently, most life activities that people perform depend on their unique characteristics. Personal characteristics vary across people, so they perform tasks in different ways based on their skills. People have different mental, psychological, and behavioral features that affect most life activities. This is the same case with students at various educational levels. Students have different features that affect their academic performance. The academic score is the main indicator of the student’s performance. However, other factors such as personality features, intelligence level, and basic personal data can have a great influence on the student’s performance. This means that the academic score is not the only indicator that can be used in predicting students’ performance. Consequently, an approach based on personal data, personality features, and intelligence quotient is proposed to predict the performance of university undergraduates. Five machine learning techniques were used in the proposed approach. In order to evaluate the performance of the proposed approach, a real student’s dataset was used, and various performance measures were computed. Several experiments were performed to determine the impact of various features on the student’s performance. The proposed approach gave promising results when tested on the dataset.

Keywords: Prediction; student performance; machine learning; personality; intelligence quotient

Samar El-Keiey, Dina ElMenshawy and Ehab Hassanein, “Student’s Performance Prediction based on Personality Traits and Intelligence Quotient using Machine Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130934

@article{El-Keiey2022,
title = {Student’s Performance Prediction based on Personality Traits and Intelligence Quotient using Machine Learning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130934},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130934},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {9},
author = {Samar El-Keiey and Dina ElMenshawy and Ehab Hassanein}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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