Abstract

Academic result measured by Grade Point Average is often considered as the most dominant performance indicator of a student in most of developing countries like Bangladesh. Several prior studies have been conducted to determine the factors which act as control measures to the academic performance in tertiary level education. But the obtained results varied largely depending on the socio-economic context and education policy of the nations. The study aims at finding out the factors that affect the academic performance of students of a public university situated in the south-western part of Bangladesh and to assess the relative predictability of various factors on academic performance. A sample of 314 graduate students from different disciples was chosen based on a random sampling method. Principal Component Analysis (PCA) as a statistical tool has been used to extract factors affecting academic performance. Multiple Linear regression was run to predict the influence of these factors on the dependent variable. The academic factor that includes conventional exam system, teachers’ evaluation system, and academic study environment appeared as the most dominant determinant factors affecting academic performance. Other important factors such as the financial condition of students, family income, social media affiliation, part-time job, extra-curricular activities also dictate academic performance. Regression coefficient indicates that gender, higher secondary examination grades, sleeping duration, academic study hours have a significant influence on academic achievement. The study results will be useful to the students, academicians, guardians of the students, policymakers, and researchers to have a better understanding of determinants of academic achievement and taking appropriate measures accordingly. Keywords: Academic performance, PCA, Academic factors, demographic and socio-economic factors, Public university students, Bangladesh. DOI: 10.7176/JEP/12-5-07 Publication date: February 28 th 2021

Highlights

  • Academic grading measured in Cumulative Grade Point Average (CGPA) has become an indicator of the performance measurement of students in most nations of the world

  • 4.2 Results and discussions on Factor Analysis (EFA-Principal Component Analysis (PCA)): The Likert-scale data related to factors affecting academic performance were examined through PCA with the

  • The study investigated the factors or predictors of academic performance of university students in Bangladesh in considering the socio-economic, demographic, institutional, and individual variables related to academic performance

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Summary

Introduction

Academic grading measured in Cumulative Grade Point Average (CGPA) has become an indicator of the performance measurement of students in most nations of the world. Most of the Universities around the world seek students with good academic results as the entry-level performance indicator for Masters and PhD level education. Empirical evidence shows that academic achievement is affected by several factors based on the socio-economic condition and development index of a country. Researchers around the world identified socio-economic and demographic factors, institutional environment and support factors, teaching quality, motivational factors, extra-curricular activities, social media affiliation, sleeping duration, the academic vision of the country, etc. Bangladesh is a country where, CGPA is being considered as the indicator of students’ quality in school, college, and university level admission process. The Research on the determinants of the academic performance in tertiary level education in Bangladesh is scant. The present study finds enough scope to explore the determining factors of academic achievement of the undergraduate students in tertiary level education in Bangladesh. The objectives of the study are: (i) to determine the influencing factors which affect the academic performance of university students of Bangladesh, (ii) to determine the level of agreement of the respondents on the factors obtained, (iii) to predict the influence or relationship of these factors on academic performance

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