Abstract
With increased access to higher and tertiary education across the globe and in particularly the underdeveloped regions of the world, there is a strong need to incorporate the heterogeneity of socio-economic factors for education performance evaluation. The paper with the uniqueness of this concept is applied on the students of underdeveloped region and identified the key factors affecting students' overall performance in their Cumulative Grade Point Average (CGPA). Orbit Ptobit Model is used with discrete regression and probabilities to achieve the objective of the study. Data was collected from the students of five selected universities in the most backward province of Pakistan. The result of the modeling demonstrates the strong correlation of socio-economic factors with the students’ overall performance and CGPA. Marginal effects of these socio-economic factors revealed the strong impact and augment the students’ performance in a significant manner. Interestingly, the education of the parents have significant role in students’ performance especially with high impact of education of mothers’. This is followed by the other key variables like social background of families and the household income. The other factors like quality of teaching, study hours and technological facilities which are universally defined are also proven by the study. However, the impact of these factors is largely subject to former socio-economic features. This emphasizes on policies to create the culture of education from primary to tertiary level in the underdeveloped regions with focus on creating linkage from the bottom to top. The results of the study have important contributions for the universities, policy-makers, and other relevant stakeholders
, Manzoor Hussain Memon2, Khalid Khan1, Dr. Gulawar Khan, Saubia Ramazan4. (2017) Modeling of Education Performance Evaluation for Universities of Balochistan, Balochistan Review, Volume 1, Issue 1.
-
Views
473 -
Downloads
57
