International Journal of
Information and Education Technology

Editor-In-Chief: Prof. Jon-Chao Hong
Frequency: Monthly
ISSN: 2010-3689 (Online)
E-mali: editor@ijiet.org

OPEN ACCESS
2.8
CiteScore
IJIET 2019 Vol.9(7): 520-524 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.7.1258

Academic Performance of Bachelor of Science Students from Course Structure: A Study in the Faculty of Science and Technology at Suan Sunandha Rajabhat University

K. Bussaban and N. Prapasuwannakul

Abstract—This study investigates the relationship of the academic performance and the courses achievement of undergraduate students at the faculty of science and technology. Linear Regression Analysis and Pearson product Moment Correlation Coefficient are used to determine which courses are significant predictors. The correlation is being categorized from 12 curricula course structure. Data collected is from the sample of 1619 online report submitted by science graduated students who have graduated during the academic year 2013-2017. The results of the study indicate that there is a positive significant linear correlation between the course structure achievement and the academic performance in each curriculum. 100 % of the curricula, require major course achievement have a significant effect on the grade point average. 92% of the curricula, elective major course and professional English courses achievement have a significant effect on the grade point average. Required major course and elective major course are quite strong relationship with academic success.

Index Terms—Academic performance, curriculum structure, learning outcome, the proportion of the variation.

The authors are with Suan Sunandha Rajabhat University, Bangkok 10300, Thailand (e-mail: kanyarat.bu@ssru.ac.th, naruemon.pr@ssru.ac.th).

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Cite: K. Bussaban and N. Prapasuwannakul, "Academic Performance of Bachelor of Science Students from Course Structure: A Study in the Faculty of Science and Technology at Suan Sunandha Rajabhat University," International Journal of Information and Education Technology vol. 9, no. 7, pp. 520-524, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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