Analysis of Factors Influencing Student Performance in Higher Education Using Regression Models

Thesis Abstract

**Abstract
** The performance of students in higher education is a critical indicator of the quality of education provided by institutions. Understanding the factors that influence student performance is essential for improving educational outcomes and enhancing student success. This thesis presents an in-depth analysis of the factors influencing student performance in higher education using regression models. The study begins with a comprehensive introduction that provides background information on the topic, presents the problem statement, outlines the objectives of the study, discusses the limitations and scope of the research, highlights the significance of the study, and provides an overview of the thesis structure. The definitions of key terms used throughout the thesis are also provided to ensure clarity and understanding. Chapter two consists of a detailed literature review that explores existing research on factors influencing student performance in higher education. The review covers ten key areas, including student demographics, academic background, study habits, socio-economic status, faculty quality, institutional support, student engagement, learning environment, technology integration, and assessment methods. The synthesis of literature forms the basis for the development of the research methodology in chapter three. Chapter three focuses on the research methodology employed in this study. It includes a detailed description of the research design, population and sample selection, data collection methods, variables of interest, data analysis techniques, and ethical considerations. The methodology aims to provide a robust framework for analyzing the factors influencing student performance using regression models. Chapter four presents the findings of the study, where regression models are utilized to examine the relationship between various factors and student performance. The results are discussed in detail, highlighting significant predictors of student performance and their implications for educational practice. The chapter also includes a comparison of findings with existing literature and offers recommendations for enhancing student performance in higher education. Finally, chapter five offers a comprehensive conclusion and summary of the thesis. The key findings of the study are summarized, and their implications for educational policy and practice are discussed. The study concludes with reflections on the significance of the research, its contributions to the field of education, and suggestions for future research directions. In conclusion, this thesis provides a thorough analysis of the factors influencing student performance in higher education using regression models. By identifying key predictors of student success, the study offers valuable insights for educators, policymakers, and stakeholders seeking to enhance student outcomes and promote academic excellence in higher education institutions.