Thesis Abstract

Abstract
This thesis investigates the factors influencing student performance in higher education using regression models. The study aims to identify key variables that impact academic achievement and provide insights into how these factors can be leveraged to enhance student success. A comprehensive review of literature on student performance in higher education sets the theoretical framework for the research. The research methodology involves collecting data on various student-related variables and academic outcomes, which are then analyzed using regression models to ascertain the relationships between different factors and student performance. The findings from the regression analysis reveal significant predictors of student success, including but not limited to socio-economic background, study habits, attendance, and access to academic resources. The discussion of findings delves into the implications of these factors on student performance and suggests potential interventions to improve academic outcomes. The study concludes by summarizing key findings, discussing their implications for higher education institutions, and offering recommendations for future research and practice. Overall, this research contributes to the understanding of the complex interplay of factors affecting student performance in higher education and provides valuable insights for educators, policymakers, and stakeholders in enhancing student success.

Thesis Overview

The research project titled "Analysis of Factors Affecting Student Performance in Higher Education Using Regression Models" aims to investigate and analyze the various factors that influence student performance in higher education institutions. The study will focus on utilizing regression models to identify the relationships between these factors and student academic achievement. The importance of this research lies in the significance of understanding the multifaceted determinants that impact student success in higher education. By employing regression analysis, the study seeks to provide empirical evidence on how variables such as socio-economic background, study habits, class attendance, and extracurricular activities affect academic performance. The project will begin with a comprehensive review of relevant literature on student performance in higher education. This will involve examining existing studies, theories, and models that have explored the factors influencing academic achievement. By synthesizing this body of knowledge, the research aims to build a solid foundation for the empirical investigation that follows. The methodology chapter will outline the research design, data collection methods, and statistical techniques that will be utilized in the study. The use of regression models will allow for a quantitative analysis of the relationships between independent and dependent variables, providing insights into the predictive power of different factors on student performance. The discussion of findings section will present the results of the regression analysis, highlighting significant factors that have a notable impact on student academic achievement. Through a detailed examination of the data, the study aims to uncover patterns and trends that can inform educational policies and practices aimed at enhancing student success in higher education. In conclusion, the research will summarize key findings, implications, and recommendations for future research and educational practice. By shedding light on the factors affecting student performance in higher education, this project seeks to contribute to the ongoing discourse on improving academic outcomes and fostering student success in institutions of higher learning.