Afe Babalola University Based Journals
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IoT-Driven Innovations in Psychosocial Care for Breast Cancer Survivors - A Review
Internet of Things (IoT) technologies are developing at a rapid pace, which could greatly improve the psychosocial support provided to breast cancer survivors. The intersection of Internet of Things (IoT) technologies and psychosocial care represents a transformative avenue for improving the quality of life of breast cancer survivors. This review explores recent advancements in IoT applications in psychosocial care, focusing on their role in addressing emotional, psychological, and social challenges faced by survivors. The discussion encompasses IoT-enabled wearable devices, mobile health applications, and smart environments that facilitate remote monitoring, real-time interventions, and personalized support. Challenges and future research directions are also examined to guide stakeholders in leveraging IoT innovations for holistic care. This also explores the integration of IoT innovations in addressing the unique psychosocial challenges faced by these individuals. By examining existing literature and case studies, we identify key areas where IoT can facilitate improved mental health support, enhance communication between patients and healthcare providers, and promote a sense of community among survivors. The findings suggest that IoT-driven solutions can lead to better health outcomes and quality of life for breast cancer survivors
AI-Powered Platforms for Interactive Nutrition Education Based on WHO (World Health Organization) Guidelines – An Overview
Malnutrition is still a major worldwide health issue; hence creative methods of nutrition teaching are required. The transformational potential of artificial intelligence (AI)-powered platforms to provide individualized and interactive nutrition education in line with World Health Organization (WHO) guidelines is examined in this paper. It explores how AI improves engagement through gamification and virtual coaching, makes tailored dietary suggestions based on individual needs and tastes, and offers data-driven feedback for tracking success. The study looks at how well these platforms match WHO nutritional guidelines and considers the advantages—like higher engagement and better memory retention—as well as the drawbacks—like data privacy, algorithmic bias, and unequal access. Additionally, it investigates how AI improves user engagement through interactive features like gamification, chatbots that employ natural language processing to provide individualized virtual coaching, and dynamic feedback systems for behavior reinforcement and progress monitoring. To show how these AI-driven platforms can encourage adherence to evidence-based guidelines for balanced diets, appropriate nutrient intake, and the prevention of diet-related non-communicable diseases, the report explores the critical alignment of these platforms with specific WHO dietary recommendations. This study critically examines the associated challenges, including worries about data privacy and security, the possibility of algorithmic bias, the need for fairness and equity in AI-driven recommendations, and the crucial issue of ensuring equitable access to these technologies across diverse populations, addressing the digital divide, in addition to the advantages of increased user engagement and improved knowledge retentio
Development of an Automated Counselling System for Nigerian Open and Distance Learning Students' Programme Selection
Choosing an academic programme or career path is often challenging for prospective students seeking admission to higher education institutions. Many rely on advice from both qualified and unqualified sources, leading to poor programme choices that result in dissatisfaction, poor performance, or dropping out. This study aims to design an Automated Counselling System (ACS) to improve prospective students' programme and career decisions in an Open and Distance Learning (ODL) institution, using the National Open University of Nigeria (NOUN) as a case study. The ACS was developed using Client Architecture and a mixed-method approach. Data was collected through questionnaires distributed via NOUN desk officers at purposefully selected study centers across Nigeria's six geopolitical zones. Of the 240 questionnaires distributed, 180 were returned. Findings indicate that the system was well received, with most users expressing satisfaction in its ability to assist them in making informed, long-term programme choices. The ACS presents an effective solution to the counselling gaps in educational institutions, offering a scalable and reliable alternative to traditional counselling methods. However, further research on how the system can help students manage academic challenges once they are admitted should be investigated. The insights from this study can be applied to other higher education institutions
Alkebulan Symphony: Arts, Crafts and Culture in Architecture
This paper examines the interconnection between the art, craft, culture and architecture of Africa. In doing this, it gives a brief explanation of African art, craft, architecture and culture. It also examines the manifestation of culture in African architecture and the role of art in architecture. The study adopts qualitative research design, using historical and descriptive approaches. It equally relies on secondary sources of data collection. In the course of research, it was discovered that art, craft, culture and architecture are inseparable, because they complement one another. Also, culture manifests in various ways in the architecture of Africa through kinship, religion, ornamentation, among others. It was further observed that art has inspired many architectural pieces in Africa. The study concludes by suggesting various ways of applying African craftsmanship in architecture to create a postcolonial identity
Tense and Aspect in Ọ̀họ̀rí
Reports in the linguistic literature indicate that inflection (Infl) is the layer that freezes elements like tense, aspect, agreement, modal, and negator and they are capable of projecting independent XO (Ilọri 2010). This article examines some functional categories such as tense [+TNS] and aspect [+ASP] in Ọ̀họ̀rí Yorùbá. Ọ̀họ̀rí is a dialect of Yorùbá which is spoken in Kétu and its environs in West Yorùbá (Oyelaran 1976; Adeniyi 2000), precisely in Yewa North Local Government Area of Ogun State, Nigeria. The data used in this study were elicited from eight adult native speakers of Ọ̀họ̀rí in Kétu, Ègùwà, and Asá in Yewa North Local Government Area of Ogun State, Nigeria via interviews using digital device. The analysis was done within the minimalist program of Chomsky (1993, 1995, 1998, and 2002) with Split Infl-hypothesis of Pollock (1989). The study shows that future tense and aspect are syntactically marked in Ọ̀họ̀rí. The paper further reveals that Ọ̀họ̀rí has a single element that marks both habitual and progressive aspects. The article proposes structures for the projection of TP and AspP in Ọ̀họ̀rí. The paper conclusively affirms that future tense markers can co-occur with perfective aspect marker in Ọ̀họ̀rí
Language and Communication Implications of Artificial Intelligence on Selected Nigerian University Undergraduates
In recent times, the emergence of artificial intelligence has had a tremendous influence on human language and communication. It involves developing computer programmes to complete tasks which would otherwise require human intelligence. This study, therefore, investigates the impact of artificial intelligence on the English language use and communication skills of selected Nigerian university undergraduates. Questionnaires were designed using a five-point rating scale and shared with one hundred and fifty respondents from the University of Nigeria, Nsukka and the University of Nigeria, Enugu Campus. These students were randomly sampled because they were selected without having any particular choice in mind. All the responses gathered through an online SurveyMonkey survey were categorised and analysed qualitatively and quantitatively. Albert Bandura’s (1977) Social Learning Theory was adopted as the theoretical framework for this study. The findings show that artificial intelligence impacts the language and communication of Nigerian undergraduates both positively and negatively, and this includes, among others, improvement of their vocabulary and grammar, and overdependence on AI technology for English language vocabulary development
Influence of Generative Artificial Intelligence (GenAI) in Nigerian Higher Education
Discourses on the influence of Artificial Intelligence (AI) in education have held sway in global literature for quite some time now, and the reason for this is not far-fetched. It is because of how AI use touches on ethics and loss/development of cognitive abilities. In the Nigerian educational context, AI in education is even more insidious. In addition to ethics and cognition, there are concerns around infrastructural deficit, access, and affordability. Thus, this paper examines AI's pros and cons in Nigerian higher education. AI has many merits, such as learner support, accessibility, and scalability. Using the content analysis approach and technology acceptance model, the paper argues that despite the demerits (the ability to subvert academic honesty, disrupt trust, increase the workload for lecturers, digital colonialism, overreliance, etc.), there is a need to seize and harness the goods of AI for the future good of education in Nigeria. It recommends critical AI literacy for lecturers and students alike, the need for an institutional AI policy that would detail the how of AI use and the need for a robust data governance structure to safeguard institutions’ data
Political Participation, Upsurge in Youths’ Turnout for 2022 Continuous Voters’ Registration and Nigeria’s 2023 Electoral Process
Political scientists and others involved in election administration have long been concerned about the importance of young people’s participation in politics, particularly in Africa. When it comes to politics, youth play an important role and are expected to play an even larger one through voter registration. Intriguingly, the youth of Nigeria showed remarkable eagerness to participate actively in the just finished 2023 electoral process by turning out in large numbers for the Continuous Voters’ Registration (CRV) drive in 2022. Examining the causes of the dramatic increase in young voters’ registration in Nigeria’s 2023 elections and the effects of this trend on youth participation in politics and the electoral process were the primary goals of this research. This study used a descriptive research strategy based on a survey design. Information was gathered by means of survey questionnaires and in-depth interviews. Tables and basic percentages were used for quantitative data analysis, while discourse analysis was used for analysing the content of qualitative data. The study’s results showed that the youths’ rights had been violated on a large scale, particularly in recent years. For instance, the handling of the 2020 End-SARS protest, such as being beaten with the butt of a gun, whips, and fists during arrest; continued torture by the police in detention, and the surge in support for Peter Obi were also factors that contributed to the surge. On the other hand, the implications of the massive turnout for governance and political participation in Nigeria include the youths’ ability to speak out against bad governance across ethno-religious lines, and an increase in youth participation in politics. The study concludes that young people should be more informed and engaged, that electoral institutions should be strengthened, and that voter registration should be continuous
Pattern of Knowledge Creation on Teaching Effectiveness among Lecturers in Library Schools in Southwest, Nigeria
This study examines the impact of knowledge creation practices on the teaching effectiveness of lecturers in library schools across Southwest Nigeria. Despite the crucial role of education in national development, ineffective teaching and limited knowledge creation hinder progress in library schools. Using a descriptive survey design and total enumeration, data were collected from all 159 lecturers that constituted the study population across 17 institutions offering library and information science in southwest, Nigeria through a structured questionnaire. Findings indicate a significant positive relationship between knowledge creation and teaching effectiveness. Lecturers who engaged in collaborative research, developed innovative instructional methods, and integrated knowledge creation into their teaching achieved better student outcomes. However, barriers such as inadequate funding, limited resources, and weak institutional support restricted effective knowledge creation. The study highlights the need to embed knowledge creation within teaching frameworks to enhance educational quality. It recommends increased investment in professional development, improved resource allocation, and institutional policies that prioritise knowledge creation. Strengthening these areas will help library schools align with global educational standards and better equip graduates for real-world challenges
Allocation of Power Losses with Distributed Generation using a Contribution of Generator to Load Pairs Technique in a Distribution System
Nigeria's power sector lacks a structured approach to allocating active power losses, impacting cost fairness and operational efficiency. The contribution of the generator-load pairs technique effectively ensures equitable loss allocation in power networks. This study applied the technique in a Nigerian distribution network integrated with distributed generation (DG) to enhance transparency in loss allocation, using the Imalefalafia 32-bus network as a case study. Power flow analysis was conducted using the backward/forward sweep method to solve the network’s power flow problem. The adopted loss allocation technique was then used to allocate active power losses among generators and loads based on their contributions. Results demonstrated accurate and transparent loss allocation, ensuring fairness. The findings confirm the technique’s suitability for Nigeria’s distribution network and its potential to enhance efficiency in DG-integrated systems. This study introduces an effective loss allocation framework tailored to Nigeria’s electricity network, providing a basis for fair active loss-sharing mechanisms