Thesis Abstract

Abstract
This thesis investigates the various factors that influence student performance in higher education using regression models. The study aims to provide insights into how different variables such as socio-economic background, study habits, and other external factors impact student academic outcomes. Through the application of regression analysis, this research seeks to identify significant predictors of student performance and provide recommendations for improving educational practices. Chapter One of the thesis provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, structure, and definition of terms. The introduction sets the stage for the subsequent chapters by establishing the context and rationale for the research. Chapter Two presents a comprehensive literature review that synthesizes existing research on factors influencing student performance in higher education. The chapter examines various studies and theories related to student success, highlighting the importance of factors such as motivation, engagement, and support systems in academic achievement. Chapter Three details the research methodology employed in this study. The chapter discusses the research design, data collection methods, sample selection, variables, and analytical techniques used to analyze the data. It provides a clear framework for conducting the regression analysis and interpreting the results. Chapter Four presents a detailed discussion of the findings derived from the regression analysis. The chapter explores the relationships between different variables and student performance, identifying key predictors and their impact on academic outcomes. The findings shed light on the complex interplay of factors that influence student success in higher education. Chapter Five serves as the conclusion and summary of the thesis, summarizing the key findings, implications, and recommendations derived from the study. The chapter reflects on the research objectives and discusses the practical implications of the findings for educational policy and practice. Overall, this thesis contributes to the existing body of knowledge on factors influencing student performance in higher education. By utilizing regression models to analyze the data, the research provides valuable insights into the predictors of academic success and offers recommendations for enhancing student outcomes. The findings of this study have important implications for educators, policymakers, and stakeholders in the field of higher education.

Thesis Overview

The project titled "Analysis of Factors Influencing Student Performance in Higher Education Using Regression Models" aims to investigate the various factors that influence student performance in higher education institutions. By utilizing regression models, the study seeks to analyze the relationship between these factors and academic achievement, providing valuable insights into the dynamics at play in the educational environment. The research overview will delve into the significance of understanding the factors that impact student performance, highlighting the importance of identifying key determinants that contribute to academic success or failure. By conducting a thorough analysis using regression models, the study aims to uncover patterns and correlations that can inform educational practices and policies aimed at enhancing student outcomes. Through a comprehensive literature review, the project will explore existing research on factors influencing student performance in higher education, providing a theoretical framework for the study. Drawing on previous studies and theoretical perspectives, the research will build upon existing knowledge to develop a robust methodology for data collection and analysis. The methodology section will outline the research design, data collection methods, and statistical techniques employed in the study. By utilizing regression models, the research aims to quantify the impact of various factors such as socio-economic background, study habits, and institutional support on student performance. Through a systematic analysis of these factors, the study will generate empirical evidence to support its findings and conclusions. The discussion of findings will present the results of the regression analysis, highlighting significant factors that influence student performance in higher education. By interpreting the data and discussing the implications of the findings, the research aims to provide insights that can inform educational policies and interventions aimed at improving student outcomes. In conclusion, the study will summarize its key findings, implications, and recommendations for future research and practice. By shedding light on the factors influencing student performance in higher education, the research seeks to contribute to the ongoing discourse on educational equity and excellence, offering valuable insights for educators, policymakers, and stakeholders in the field of higher education.