Factors Affecting Quality of Universal Primary Education in Bangladesh Evidence from Cumilla

Abstract

The fundamental objective of this research is to identify the constraints and obstacles that rural primary schools confront in their  efforts to provide a highquality education. The goal of this study is to identify the conditions required for the expansion of high-quality primary education in low-income economies like Bangladesh. Cross-sectional data was obtained from respondents in the study area of Barura upazila in the Cumilla district in Bangladesh between January and February 2020. By analyzing non-probability purposive  sampling techniques, econometric models such as multinomial logistic regression are utilized to find the major inputs of elementary  education. The research concentrated on the coefficient of professional training and qualification, teaching experience, syllabus  coverage, class testing of pupils, teacher per pupil, gross enrollment ratio, class attendance rate, average number of pupils per class,  and classroom environment. However, when all regressors are combined, they have a statistically significant effect on the log of primary school completed and achieved grades, with a p-value of around 0.00. This shows that those who completed elementary  school and earned a higher grade are more likely to be supported by variables impacting the quality of education than those who did not.