[ad_1]

Introduction

Predicting academic performance in higher education is a topic of increasing importance in today’s educational landscape. With the growing emphasis on accountability and outcomes assessment, educators and researchers are seeking ways to identify factors that can help predict and improve student success. This study aims to explore the various variables that may influence academic performance in higher education and develop a predictive model to help educators better support students in their academic journey.

Background of Study

The academic performance of students in higher education has long been a subject of interest for researchers and educators. Numerous studies have examined various factors that may influence academic success, such as socioeconomic status, prior academic achievement, motivation, and engagement. However, there is still much to learn about how these factors interact and contribute to student performance.

Problem Statement

Despite the wealth of research on factors influencing academic performance in higher education, there is still a lack of comprehensive predictive models that can accurately forecast student success. This study seeks to address this gap by identifying key variables that may impact academic performance and developing a predictive model to help educators intervene and support students in achieving their academic goals.

Objective of Study

The main objective of this study is to develop a predictive model that can accurately forecast academic performance in higher education. Specifically, this study aims to:

– Identify key variables that may impact academic performance
– Develop a predictive model using these variables
– Test the accuracy and reliability of the predictive model

Limitation of Study

It is important to acknowledge the limitations of this study. Due to the complexity of academic performance and the multitude of factors that may influence it, this study may not capture all possible variables that could impact student success.

Scope of Study

This study will focus on predicting academic performance in higher education among undergraduate students. The research will primarily draw on data from a single institution, which may limit the generalizability of the findings. However, the insights gained from this study can still provide valuable information for educators and researchers in similar contexts.

Significance of Study

The findings of this study have the potential to benefit educators, administrators, and policymakers in higher education by providing insights into the factors that influence academic performance. By developing a predictive model, this study can help stakeholders identify at-risk students and implement targeted interventions to support their success.

Structure of the Thesis

This thesis is organized into five chapters. Chapter 1 provides the introduction to the study, including the background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter 2 consists of a literature review of existing research on predicting academic performance in higher education. Chapter 3 outlines the research methodology, including data collection, analysis, and modeling techniques. Chapter 4 presents the findings of the study and discusses their implications. Finally, Chapter 5 offers a conclusion and summary of the project thesis.

Definition of Terms

– Academic performance: Refers to a student’s achievement in their academic pursuits, including grades, test scores, and other measures of success.
– Predictive model: A statistical model used to forecast future outcomes based on historical data and identified variables.
– Higher education: Post-secondary education that typically leads to a degree or certification beyond high school.

[ad_2]

---

Purchase Detail

Download the complete project materials to this project with Abstract, Chapters 1 – 5, References and Appendix (Questionaire, Charts, etc), Click Here to place an order via whatsapp. Got question or enquiry; Click here to chat us up via Whatsapp.
You can also call 08111770269 or +2348059541956 to place an order or use the whatsapp button below to chat us up.
Bank details are stated below.

Bank: UBA
Account No: 1021412898
Account Name: Starnet Innovations Limited

The Blazingprojects Mobile App

Download and install the Blazingprojects Mobile App from Google Play to enjoy over 50,000 project topics and materials from 73 departments, completely offline (no internet needed) with monthly update to topics, click here to install.