INFLUENCE OF ONLINE EDUCATION ON ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS IN WUSE II, ABUJA FCT.

TOPIC IS SUITABLE FOR:
1-Department of Educational Technology
2-Department of Education
3-Department of Educational Management
4-Department of Curriculum Studies

TOPIC: INFLUENCE OF ONLINE EDUCATION ON ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS IN WUSE II, ABUJA FCT.

TABLE OF CONTENT
Abstract
CHAPTER ONE: INTRODUCTION
1.1 Background to the Study
1.2 Statement of the Problem 
1.3 Objectives of the Study 
1.4 Research Question (s) 
1.5 Hypotheses
1.6 Significance of the Study 
1.7 Scope and Delimitation of the Study
1.8  Operational Definition of Terms
CHAPTER TWO - Review of the Related Literature
2.0 Introduction
2.1 Theoretical/Conceptual Frameworks
2.2 Level of Participation in Online Education among University Students in Nigeria
2.3 Influence of Online Education on the Study Habits of University Students in Nigeria
2.4 Influence of Online Education on the Academic Performance of University Students in Nigeria
CHAPTER THREE – Research Methodology
3.0 Introduction
3.1 Research Design
3.2 Population of the study
3.3  Sample and Sampling Techniques
3.4 Research Instrument 
3.5 Procedure for Data Collection 
3.6 Method of Data Analysis
CHAPTER FOUR - Data Presentation, Analysis and Discussions
4.0 Introduction
4.1 Data Presentation 
4.2 Data Analysis 
4.3 Discussions 
CHAPTER FIVE - Summary, Conclusion and Recommendations
5.0 Introduction
5.1 Summary 
5.2 Conclusion 
5.3 Recommendations 
References
Appendix

ABSTRACT
The study analyzed the Influence of Online Education on Academic Performance of University Students in Wuse II, Abuja FCT. The study was guided by four specific objectives that were to assess the extent of students' participation in online education, identify the impact of online education on the study habits of the students, determine the effect of online education on academic performance, and identify challenges associated with online learning. A descriptive survey research design was adopted in collecting the quantitative data from the undergraduate students living in Wuse II, Abuja, who are actively participating in online learning either in full or blended learning formats. The population comprised of 215 students, a sample size of 140 was determined using Taro Yamane's sample size formula and a total of 133 valid responses was obtained for data analysis. Data collection was done by using a structured questionnaire with five sections, while demographic data and data associated with each of the objectives were collected using a four-point Likert scale. The data were analyzed by using descriptive statistics (means and standard deviations) and inferential statistics (Pearson correlation) to test hypotheses. The results showed that students are involved in the learning process of online learning with mean scores were about 3.05 to 3.25 for student participation, online learning was found to have a significant impact on student study habits (correlation coefficient r = 0.52, t statistic = 7.11, p = 0.000) and online learning has a positive impact on student performance (correlation coefficient r = 0.49, t statistic = 6.57, p = 0.000). Challenges identified include unstable internet access, high data costs, lower access to devices and poor technical support. Based on the findings, it was recommended that universities should invest in good internet infrastructure, provide access to digital devices, increase technical support and training while adopting blended learning approaches to maximize student engagement, optimize study habits and improve academic outcomes in Wuse II, Abuja FCT.

CHAPTER ONE
INTRODUCTION (Preview)
1.1 Background of the Study
Education is universally accepted as an important force in personal and social development of the individual as well as society. It embodies the process of systematic transfer of knowledge, skills and values from one generation to another and allows people to make their own contribution to the growth of their communities and nations. Over the years, education has moved on beyond the walls of traditional classrooms to adopt different teaching methodologies brought about by cultural, technological and social changes. According to Mohamed (2021), education is still the basis on which countries develop their intellectual capital and human resources capacity required for innovation and development. Similarly, Ulum (2021) maintains that the advancement of education has always been able to keep pace with the change in technology and highlights the dynamic nature of education in acquiring and diffusing knowledge. Thus, education remains a force of transformation balancing the needs and aspirations of the people with the progress and development of the society and providing a framework in which new technologies like online education, continue to redefine learning experiences and outcomes.
Online education has been one of the most important changes in the modern educational system. It includes learning interactions beyond the classroom using digital technologies and internet based platforms to support the learning. Nieuwoudt (2020) online education is described as an instructional method, which uses both synchronous and asynchronous methods, in order to facilitate flexibility and inclusivity among learners. In addition, Abuhassna et al (2020) has stated that online learning platforms increase the autonomy and engagement of the student and fosters self-paced learning equivalent to diverse learning styles. In the current era the online education has become an indispensable element of higher education, bridging the geographical barriers and it is increasing the access to knowledge. As highlighted by Ohanyelu (2025), the academic engagement has been redefined through the digital learning platforms and Massive Open Online Courses (MOCs) by introducing innovation in the delivery of learning. Therefore, online education is a significant indicator of the technological adaptation in the modern educational systems which have impacts on the future of learning in different contexts.
Academic performance as an aspect of the primary concern of educational research shows the measurable outcomes of the learning's processes. It has included as achievement level of students, cognition and learning of subject content as shown by examinations, assignments, and assessments. According to Yaseen et al. (2021), academic performance is taken to be an indicator of individual efforts and institutional effectiveness in aiding the learning. Similarly, Mandasari (2020) emphasises that the outcomes of performance are affected by instructional methods, motivation and learning environments. In the context of online education, often, students academic performance is affected by their degree of digital engagement, access to learning resources, and ability to adapt to the technological environments. Nia et al. (2023) also mention that the engagement of the student mediates the relationship between online learning and academic effectiveness and highlights the importance of having interactive and supportive virtual platforms. Consequently, academic performance is still an important criteria to determine how effective online education is in creating meaningful learning outcomes.
The intersection of online education and habits of study of students has been receiving more and more scholarly attention as educators and policy makers try to understand the dynamics that impact academic achievement. Study habits include approach to time management, concentration, and information retention as the learner is important to successful learning outcomes. Muzammil et al. (2020) explain that students who are active in using online platforms tend to develop the self-directed habits of learning and digital literacy skills to increase the effectiveness of their studies. Similarly, Weng and Wirda (2024) have argued the fact that readiness to learn online has a significant impact on engagement and success wherein students who are disciplined and technological savvy are able to adapt to virtual settings more effectively. The flexibility of the online education thus promotes the independent learning and aids the cognitive growth through the interactive digital tools. As a consequence, study habits become an intermediate factor between the online learning participation and the academic success.
In addition to study habits, one other important variable to relate online learning and performance outcomes was student engagement. Engagement is an emotional, behavioural and cognitive involvement of students in academic activities. Kuzminykh et al. (2021) reinforces the fact that engagement in online environments can often be associated with better academic performance as active participation produces better understanding and retention. Likewise, Torgbe (2025) found that the integration of digital learning models improves motivation and interaction of students thus improve students academic achievement. According to Garcia-Machado et al. (2024), the support provided to the students during online learning also influences their engagement and satisfaction that in turn influence the performance levels. Thus, involvement in online educational environments is a predictor and mediator of student success in academic settings, which makes learning structures for student interaction with educational learning processes necessary.
The beginning of online education has also started the debate about the nature and level of student participation. Participation in this context is the degree of involvement and frequency of participation of learners in online instructional activities. Sahni (2023) notes that digital literacy and access to good internet connection and familiarity with the virtual learning tools usually determine the level of participation of the students. In addition, according to Sangore (2024), regular participation makes the students more academically engaged and better content with the knowledge. The degree of participation of the students, therefore, provides some indication of how well the online learning systems are being utilised and contributing to the achievement of the educational objectives. As Vandana and Singh (2023) point out, participation is not just a function of access but also of motivation and pedagogical design which is relevant to the needs and contexts of learners. Consequently, knowledge of patterns of participation forms a basis for measuring the success of online education in relation to academic achievement.
In Nigerian higher education situation, i.e., Federal Capital Territory in particular, the impact of online education has become more prominent among students of universities. Wuse II, a dynamic urban area in Abuja is a microcosm of what is happening all over tertiary institutions in Nigeria with regard to education. According to Omolafe and Adenubi (2023), and Joyce et al. (2025), the use of blended and online learning systems has become more prevalent in the Nigerian universities to enhance the learning experience and the level of performance outcomes of the students in their universities for the first time. Similarly, Babalola and Aina (2024) insists that online platforms available in universities such as Ilorin and Abuja have ensured the flexibility of accessing knowledge as well as academic independence. In this regard, the examination of the influence of online education on the academic performance of university students in Wuse II is a local way of seeing the global educational changes, to get a glimpse on the level of participation, study habits, transformative role of online learning in the present development of education.

1.2 Statement of the Problem
The introduction of online education has changed the mode of learning delivery in higher educational institutions all over the globe, but the effect it has on academic performance by students is becoming a concern and issue of academic debate. In Nigeria, particularly in the university academic cities such as Wuse II in Abuja, digital learning platforms are being used extensively by Nigerian university students in the context of the modernization of the universities (Joyce et al., 2025; Babalola & Aina, 2024). While ideal the online learning is assumed as a flexible and inclusive form of learning and helps the students to enhance their study habit, participation and academic performance (Abuhassna et al., 2020; Ohanyelu, 2025); the current scenario sees varying level of participation, inconsistent academic performance and limited acquisition of self-regulated learning by students (Muzammil et al., 2020; Weng & Wirda, 2024). Moreover, recent research has shown that technological availability, the preparedness of students and institutional support systems are still factors that affect the quality of the learning experiences in virtual environments (Garcia-Machado et al., 2024; Sangore, 2024). The apparent discrepancy between the anticipated benefits of Web-based learning and the actual outcome among college students is the central issue that motivates this study.
Although it has been explored in a few empirical studies to have a broad impact of online education on the performance of the students in various contexts (Ulum, 2021; Xiong et al., 2024), the specific experience of the students of Wuse II, Abuja, which has infrastructural, socio-economic, and institutional factors affecting performance, have not been explored. Furthermore, there has been little scope in the extant literature on the mode of online learning and its implications on students' study culture, level of participation, and performance in an urban university setting in Nigeria (Omolafe & Adenubi, 2023; Torgbe, 2025). Thus, the gap is how much university students are engaged in online learning in this arena, the impact of online learning on their study habits, and the impact of online learning on their academic performance in terms of a tangible product. This study seeks to fill this gap by empirically testing these relationships, and providing data-based information which can be used to empower universities to enhance the validity of online learning practices and make it more similar to the academic requirements and realities of university students in Nigeria.
1.3 Objectives of the Study
The main objective of this study is to examine the influence of online education on the academic performance of university students in Wuse II, Abuja FCT. Specifically, the study seeks to:
i.Assess the level of participation in online education among university students in Wuse II, Abuja.
ii.Determine the influence of online education on the study habits of university students in Wuse II, Abuja.
iii.Examine the relationship between online education and the academic performance of university students in Wuse II, Abuja.
iv.Identify the challenges faced by university students in accessing and utilizing online education platforms.
OTHER PARTS OF CHAPTER ONE INCLUDE:
1.4 Research Questions
1.5 Research Hypotheses
1.6 Significance of the Study
1.7 Scope and Delimitation of the Study
1.8 Operational Definition of Terms

CHAPTER TWO
REVIEW OF RELATED LITERATURE (Preview)
This chapter critically examines relevant literature that would assist in explaining the research problem and, furthermore, recognizes the efforts of scholars who had previously contributed immensely to similar research. The chapter intends to deepen the understanding of the study and close the perceived gaps. This chapter, therefore, focuses on the concept of online education, the concept of academic performance, forms and methods of online education, factors influencing online education, influence of online education on academic performance, challenges of online education, etc. The chapter covers the following subheadings:

2.1 Conceptual Framework
2.2 Theoretical Framework
2.3 Empirical Review
2.4 Summary of Literature Review

CHAPTER THREE
RESEARCH METHODOLOGY (Preview)
Research Design: The study adopted a descriptive survey research design.
Population of the Study: The population of the study comprises  undergraduate university students living in Wuse II, Abuja, who are enrolled in higher education institutions and have actively participated in online education.
Sample Size Determination: The study adopted the Taro Yamane formula to determine a sample size of 140 participants.
Sampling Technique: The study employed a simple random sampling technique to select the individual respondents.
Research Instrument: The study utilized a structured questionnaire titled “Influence of Online Education on Academic Performance of University Students” as the instrument for data collection.
Methods of Data Analysis: The collected data were analyzed using frequencies, percentages, means, and standard deviations to summarize and present the demographic characteristics of the respondents and their responses. Inferential statistics, such as Pearson Product Moment Correlation Coefficient (PPMC), was used to test the hypotheses.

CHAPTER FOUR: DATA PRESENTATION, ANALYSIS AND DISCUSSIONS
MAJOR FINDINGS (Preview)
i. The study found that university students in Wuse II, Abuja, maintain a high level of participation in online education, as evidenced by mean scores ranging from 3.05 to 3.25, which are above the acceptance benchmark of 2.50. The corresponding hypothesis test further showed a correlation coefficient (r) of 0.52, t-value of 7.11, and p-value of 0.000 (p < 0.05), leading to the rejection of the null hypothesis.

ii. The study found that online education has a positive influence on the study habits of university students in Wuse II, Abuja, as evidenced by mean scores ranging from 3.10 to 3.30, which are above the acceptance benchmark of 2.50. The corresponding hypothesis test further showed a correlation coefficient (r) of 0.52, t-value of 7.11, and p-value of 0.000 (p < 0.05), leading to the rejection of the null hypothesis.

iii. The study found that online education has a positive influence on the academic performance of university students in Wuse II, Abuja, as evidenced by mean scores ranging from 3.12 to 3.24, which are above the acceptance benchmark of 2.50. The corresponding hypothesis test further showed a correlation coefficient (r) of 0.49, t-value of 6.57, and p-value of 0.000 (p < 0.05), leading to the rejection of the null hypothesis.

iv. The study found that university students in Wuse II, Abuja face several challenges in accessing and utilizing online education platforms, including unstable internet connectivity, limited access to digital devices, high cost of data subscription, lack of technical support, and inadequate interaction with lecturers, as evidenced by mean scores ranging from 3.05 to 3.31, which are above the acceptance benchmark of 2.50.

CHAPTER FIVE:SUMMARY, CONCLUSIONS, AND RECOMMENDATIONS
This chapter covers the following outline:
5.1 Introduction
5.2 Summary
5.3 Conclusion
5.4 Recommendations
References
Appendix

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