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- Inaugural lectures by Professors from different Faculties of Lead City University
Recent Submissions
Influence of Socio-Economic Factors and Political Apathy on the Migration Intention of Youth in Selected Federal Universities in Southwest Nigeria
(Lead City University, Ibadan, 2024-12) Sam Adedigba ADEBOWALE
The study focused on socio-economic factors and political apathy on the migration intention of youth in Selected Federal Universities in Southwest Nigeria. Migration may be temporary, in which an individual moves to one country for education, temporary job or a long vacation. It can also be permanent in which the migrant chose to stay permanently in a new country. In Nigeria, most of these emigrants are youths who constituted the largest block of the population and are seen as the future of the country. Nigeria population is estimated at 211 million people; having a population increase at 2.62 percent, is higher than that of many other countries of comparable size. The study was anchored on the push-pull theory of migration which explained that factors like economic, cultural and environmental, that induce people to leave their countries of origin or a place where they have lived for long to another place; human capital and network theories. Survey research design and purposive sampling procedure was employed in the study. Data were collected from six universities through a self-structured questionnaire given to 300 students. The data obtained were analyzed using descriptive and inferential statistics and Pearson Moment Correlation at 0.05 level of significance. In conclusion, migration intention was influenced by perceived opportunities, quality of education, political stability, and socio-economic conditions. Findings showed high level of active and passive migration intention; realities of socio-economic challenges, including unemployment, poverty, and infrastructure deficits; disillusionment with the political system, lack of trust in political institutions, and a sense of disempowerment; Recommendations focused on government and other stakeholders addressing political apathy by implementing targeted programs and initiatives aimed at increasing political awareness and engagement among youths. This could involve civic education campaigns, youth mentorship programs, and initiatives to promote transparent and inclusive governance.
Keywords: Political Apathy, Socio-economic, Youth, Migration
Word Count: 295
Impact of Integrated Machine Learning Models, Background-Traffic and Bandwidth-Limit on the Performance of Software-Defined Networking
(Lead City University, Ibadan, 2024-12) Isiaka Babatunde SADIKU
Efficient data flow in computer networks is crucial for modern applications, but network performance faces challenges due to the complexity of network types and configurations. Understanding the impact of different networking approaches on packet flow, bandwidth, latency, jitter, and throughput is essential for improving network performance. Traditional Computer Networks (TCN) and emerging technologies like Software-Defined Networking (SDN) have distinct advantages and trade-offs in terms of bandwidth usage, latency, throughput, and jitter. This study aims to assess the influence of background traffic, bandwidth limits, and dataflow features on SDN performance and the ability of machine learning models to predict network behavior. The analysis reveals several key findings: Traditional networks exhibited higher throughput, while hybrid TCN-SDN showed reduced bandwidth usage. Latency varied across network types, with SDN networks showing potential increases. Jitter was significantly impacted by non-homogeneous networks, raising concerns about overall performance stability. ANOVA and Duncan’s tests confirmed the importance of latency, bandwidth, and throughput in influencing network behavior. Back-ground traffic and bandwidth limits were shown to have a complex relationship with SDN
performance, particularly in terms of TCP bandwidth, throughput, and latency. Correlation analyses highlighted strong relationships between network parameters, providing deeper insights into dataflow dynamics. Among machine learning models, Support Vector Machine with Radial Basis Function Kernel (SVM_RBF) consistently outperformed others, while the stacked 5-stacked model demonstrated superior accuracy in predicting SDN performance across different datasets and
scenarios. This study offers valuable insights into the interplay of network types, traffic conditions, and performance metrics. The results indicate that while traditional networks offer higher throughput, hybrid TCN-SDN configurations present advantages in bandwidth efficiency but may incur higher latency. The machine learning models successfully predicted network performance, with the 5-stacked model emerging as the most accurate across a range of conditions.
Keywords: Performance Metrics, Programmable Network, Data Flow, Machine Learning, Bandwidth-traffic
Word Count: 290 words
Adoption of E-Banking and Customers’ Satisfaction in Money Deposit Banks in Ibadan Oyo State, Nigeria.
(Lead City University, Ibadan, 2024-12) Wasiu Adeyemi RUFAI
Today, banks across the world offer electronic banking (e-banking) services to their customers and these new innovations have brought tremendous benefits in terms of convenience, cost reductions, accessibility, improved brand visibility and subsequent profits for the banks and their customers. Despite the many benefits of e-banking to customers, the level of customer satisfaction has raised a lot of concern amongst scholars and practitioners. The study examined the interaction effect between e-banking adoption and customers’ satisfaction in selected deposit money banks in Ibadan, Oyo State. The study is hinged on four notable theories-Technology Acceptance Model, Diffusion of Innovation Theory, Theory of Reasoned Action, and Theory of Planned Behavior. A cross sectional survey research design was employed. 500 copies of structured questionnaire were distributed to customers of selected deposit money banks in Ibadan, Oyo State. 369 copies of the questionnaire were recovered and analyzed, representing a 73.8% response rate. Findings revealed statistically significant path coefficients between E-banking adoption and customers' responsiveness (β=0.388, Tstat = 4.206, p=.000); E-banking adoption and customers' accessibility (β=.635, Tstat = 6.345, p=.000);Ho3: E-banking adoption and customers' convenience (β=.607, Tstat = 6.383, p=.000); E-banking adoption and customers' reliability (β=.854, Tstat = 22.653, p=.000); E-banking adoption and customers' costs (β=.813, Tstat =
15.845, p=.000); moderating role of demographic variables on the relationship between e- banking adoption and customer service satisfaction (β= 0.710, R2= 0.504; P-value =0.000 <0.05). It was recommended that financial institutions should prioritize optimizing digital accessibility features across online banking, mobile banking, and ATM services. For all consumer segments, including those with disabilities, this means empowering them with clear instructions through educational campaigns and upholding accessibility standards. Also, Financial institutions should emphasize streamlining the user experience across online banking, mobile banking, and ATM services, ensuring seamless access and consistent functionality. It is essential to prioritize personalization and customization of services according to user preferences, using data analytics to predict user demands and provide customized solutions. To enhance consumer convenience and satisfaction, e-banking services must be available around the clock, integrated with third-party conveniences, and offer extensive educational materials.
Keywords: Adoption, Customers, E-Banking, Money Deposit Banks, Satisfaction.
Word count: 350
Effect of Inductive and Deductive Teaching Strategies on Senior Secondary School Students’ Academic Achievement in Further Mathematics in Oyo State
(Lead City University, Ibadan, 2024-12) Tunde Rasheed RAHEEM
The fluctuating performance in May/June West African Examination Council (WAEC) SSCE results percentages revealed in the trend analysis studies has resulted in a decade of reports that the achievement of Oyo state students in having a credit pass or above in Further Mathematics has not been consistent. This study investigates the Effect of Inductive and Deductive Teaching Strategies on Senior Secondary School Students’ Academic Achievement in Further Mathematics in Oyo State. Seven (7) hypotheses were formulated and tested at 0.05 level of significance. A pretest–posttest quasi–experimental design was applied. Multi-stage sampling procedure was adopted to purposively select three (3) schools of science for the study from the three (3) senatorial districts in Oyo state. A sample size of one hundred and eight (108) participants comprises fifty (50) male students and fifty-eight (58) female students were involved in the study. Senior Secondary Schools two (SSS II) intact classes were used in each of the three (3) selected schools. Differential and Integral Calculus Achievement Test (DICAT) (KR-20 = 0.84) was used as instrument for data collection. Analysis of Covariance (ANCOVA) was used for data analysis. There was a significant main effect of Deductive Teaching Strategy on Senior Secondary School Students’ Academic Achievement in Further Mathematics [F(1, 63) = 11.321, P < 0.05]. There was a significant interaction effect of inductive and deductive teaching strategies on senior secondary school students' academic achievement in Further Mathematics [F(2,104) = 10.128, P < 0.05]. From the results, it is concluded that the most effective and preferred teaching strategy is the Deductive Teaching Strategy (DTS). Base on the findings, it is suggested that application of Deductive teaching strategy or combined Inductive and Deductive teaching strategies should be considered to improve students’ academic achievement in Further Mathematics.
Keywords: Inductive Teaching Strategy, Deductive Teaching Strategy, Conventional Teaching Strategy, Gender, Academic Achievement.
Word Count: 291
A Proposed History and Cultural Museum for Ibadan, Oyo State, Nigeria (Considerations for Effective Lighting in Museum Design)
(2024-12) Ayomide Obaloluwa POPOOLA
This study investigates the critical role of lighting design in enhancing visitor experiences, preserving artifacts, and effectively communicating museum narratives. Museums serve as essential cultural institutions that facilitate education through the exhibition of historical and artistic treasures. However, achieving optimal lighting involves addressing diverse exhibit needs, the delicate nature of artifacts, and the balance between aesthetics and preservation. The research aims to identify best practices and guidelines for effective museum lighting, focusing on the requirements of various exhibit types, suitable design strategies, and technologies that enhance visitor interaction. It examines several lighting approaches ambient, accent, mood lighting, and natural light integration each with distinct objectives in highlighting artifacts and creating immersive environments. Findings indicate that tailored lighting solutions are vital for different exhibit categories. Advances in technologies such as LED lighting, digital controls, and interactive installations play a significant role in balancing conservation and visitor engagement. The study also discusses conservation strategies, including time-controlled lighting and UV-filtering materials to mitigate photodegradation risks. Recommendations highlight the need for a comprehensive approach that considers user experience, inclusivity, and visual comfort while advocating for programming that reflects diverse visitor interests. Further research should explore the impact of emerging technologies like augmented and virtual reality on museum lighting strategies, as well as the long-term effects of optimized lighting on engagement and artifact
preservation. By systematically addressing these factors, this study offers valuable insights for museum designers, conservators, and management, ultimately enhancing the cultural appreciation and educational potential of museums worldwide
Keywords: Artifacts, Lightning Design, Museum
Word count: 129