Thesis Abstract

Abstract
The aim of this thesis is to investigate the factors that influence student performance in higher education through the application of regression modeling techniques. The study focuses on understanding the complex interplay between various factors and their impact on academic achievement. The research utilizes a quantitative approach to analyze a comprehensive dataset obtained from a sample of students in higher education institutions. Chapter 1 provides an introduction to the research topic, discussing the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The literature review in Chapter 2 critically examines existing research on factors affecting student performance, highlighting gaps and areas for further investigation. Chapter 3 details the research methodology, including the research design, data collection methods, variables, and regression modeling techniques employed. The findings of the study are presented in Chapter 4, where the regression analysis results are discussed in depth. The analysis reveals significant predictors of student performance, shedding light on the importance of factors such as study habits, socio-economic background, and academic support services. The implications of the findings are discussed in the context of enhancing student success and informing educational policies and practices. In the concluding Chapter 5, the key findings are summarized, and their implications for higher education institutions and policymakers are highlighted. The study underscores the importance of understanding the multifaceted influences on student performance and the potential for regression modeling techniques to provide insights for improving educational outcomes. Recommendations for further research and practical applications are provided to guide future endeavors in this area. Overall, this thesis contributes to the existing body of knowledge on factors influencing student performance in higher education and offers valuable insights for educators, administrators, and researchers striving to support student success and enhance the quality of education.

Thesis Overview

The project titled "Analysis of factors influencing student performance in higher education using regression modeling techniques" aims to investigate the various factors that have an impact on student performance in higher education settings. This research will employ regression modeling techniques to analyze the relationships between these factors and student academic achievement. The primary objective of this study is to identify and understand the key factors that influence student performance in higher education. By utilizing regression modeling, the research will seek to quantify the relationships between variables such as study habits, socio-economic background, teaching methods, and student outcomes. Through this analysis, the study aims to provide insights into the factors that significantly contribute to student success in higher education. The research will begin with a comprehensive literature review to explore existing studies on student performance factors and regression modeling techniques in educational research. This review will provide a foundation for the research methodology, guiding the selection of variables and statistical techniques for analysis. Data collection for this study will involve gathering information on student demographics, academic performance, study habits, and other relevant factors from a sample of students in higher education institutions. The research will then use regression modeling to analyze the relationships between these variables and student performance outcomes. The findings of this study are expected to contribute to the existing body of knowledge on factors influencing student performance in higher education. By identifying the key determinants of student success, the research aims to inform educational practices and policies that can support student achievement in higher education settings. Overall, this research project seeks to shed light on the complex interplay of factors that impact student performance in higher education, offering valuable insights for educators, policymakers, and other stakeholders in the field of education.