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Artificial Intelligence in Nigeria Healthcare: A Review of State, Challenges and Opportunities
Get PDFObjective: To examine the current stage of Artificial Intelligence (AI) adoption in Nigeria’s healthcare system, identify the progress made, the persistent challenges and potential opportunities.Methods: A narrative review of literature from 2013 to 2025 was conducted using PubMed, Google Scholar, Researchgate and African Journals Online. Studies focusing on AI applications in healthcare settings within were selected.Results: Findings revealed AI applications in diagnostics, telemedicine, public health surveillance, and hospital administration. However, infrastructure gaps, limited digital literacy, and weak regulatory frameworks hinder widespread adoption. Opportunities exist in expanding rural access, predictive diagnostics, hospital efficiency, and health research.Conclusion: By addressing existing barriers through strategic investments, policy reforms, and cross sector collaborations, Nigeria has the potential to harness AI to drive transformative improvements in healthcare delivery. This review serves as a call to action for stakeholders across government, academia, industry, and healthcare to work collectively toward an AI driven, patient centered healthcare future in Nigeria
Preservice Teachers and AI in Education 5.0: Examining Literacy, Anxiety, and Attitudes across Gender, Socioeconomic Status, and Training
Get PDFEducation 5,0 underscores the central role of artificial intelligence (AI) in reshaping teaching and learning, yet the readiness of preservice teachers to engage with these technologies remains at an early stage. This study set out to examine the levels of AI literacy, anxiety, and attitudes among preservice teachers in state universities and colleges in the Zamboanga Peninsula, taking into account gender, socioeconomic status, and training as key demographic variables. Using a descriptive-quantitative, correlational-comparative design, data were gathered from 378 respondents and analyzed through descriptive statistics, independent samples t-tests, one-way ANOVA, and Pearson correlation. Results revealed that preservice teachers demonstrated moderately high literacy (M = 3,80), moderate anxiety (M = 3,00), and generally positive attitudes (M = 3,60). Gender differences were evident, with males reporting higher literacy but lower anxiety, while females showed greater anxiety and slightly more positive attitudes. Socioeconomic status also influenced literacy and anxiety, favoring students from higher-income groups, though attitudes showed little variation. Training enhanced literacy but had negligible effects on anxiety and attitudes. Correlation analysis confirmed that higher literacy was strongly linked to lower anxiety and moderately associated with more positive attitudes, while anxiety was related to less favorable attitudes. These findings highlight the pivotal role of literacy in reducing apprehension and strengthening acceptance of AI. The study recommends embedding structured AI literacy programs in teacher education curricula, alongside targeted interventions for female and low-income students, to ensure equitable and confident readiness for AI integration in line with the goals of Education 5,0
Gamified web application with artificial intelligence for teaching programming in Spanish-speaking contexts
Get PDF Introduction: teaching programming posed a significant challenge for students with no prior training in logical or computational thinking, especially at the early stages. Traditional teaching methods proved insufficient to maintain motivation and engagement. In this context, gamification and artificial intelligence emerged as promising educational strategies by offering more dynamic and personalized experiences. However, the tools available on the market had significant limitations, such as a lack of AI-based personalization and the absence of content adapted to Spanish speakers. Development: the project developed a gamified web application aimed at teaching basic programming and database concepts. Technologies such as HTML5, CSS3, JavaScript, PHP, and the MaterializeCSS library were used for the design and implementation of the platform. The integration of the ChatGPT API allowed the incorporation of artificial intelligence functionalities to provide personalized feedback to students. The application was hosted in a reliable and widely used server environment. A review of existing solutions showed that few combined gamification and AI, and none were fully oriented towards Spanish-speaking users. Conclusions: the development of this application proved to be a viable and innovative solution to facilitate programming learning. The combination of gamification and artificial intelligence improved the educational experience, encouraged participation, and adapted content to the individual needs of users. This project offered a unique approach and laid the foundation for future research in digital education
Stakeholder trust and metaverse corporate social responsibility communication: a strategic analysis of Nigerian consumer goods firms
Get PDFThe study examine stakeholder trust and Metaverse CSR communication: a strategic analysis of nigerian consumer goods firms. Metaverse is agreed to be insistent and communicating virtual environment that offers firms a novel platform to disclose their corporate social responsibility (CSR) initiatives in such a way that is transparent, engaging, and emotionally resonant. The theoretical reinforcement of this study is drawn from stakeholder theory and signaling theory. The study acknowledged that the rise of immersive technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) has transformed how firms communicate their CSR initiatives to their stakeholders. Thus, digital transparency in Nigeria CG sector has become a strategic imperative, motivated by investor expectations, regulatory improvements, and consumer demand for ethical responsibility. The study concluded that Immersive CSR communication in the Metaverse has significantly influence stakeholder trust and firm level performance of Nigerian CG firms as indicated in the study. Through the integration of stakeholder theory and signaling theory, the study demonstrated that transparency, interactivity, and ethical engagement through the digital platforms has foster deeper relationships between customers, investors, and regulators. The study also accentuate that immersive technologies did not only improve brand authenticity and accountability but also serve as strategic outfits for market variation
Artificial intelligence-mediated surgical center management: limitations, application, and opportunities
Get PDFIntroduction: The technological revolution is currently transforming healthcare services. Therefore, we set out to analyze how the application of artificial intelligence improves management processes in surgical centers, as well as the limitations and opportunities of its incorporation into healthcare services.Methods: A literature review study was conducted to comprehensively analyze articles obtained from indexed databases such as SCOPUS, PUBMED, Scielo, and Latindex, using a combination of Boolean operators (AND and OR) with keywords in Spanish, English, and Portuguese. which was classified and organized in an Excel matrix for analysis according to the CASPe rubric guidelines, which facilitated the assessment of their scientific and academic quality.Results: The healthcare system faces several challenges that hinder the incorporation of new technologies into its administrative, care, teaching, and research processes, considering investment, ethical dilemmas, lack of digital skills, and economic investment. However, their integration shows opportunities in terms of resource optimization, decision-making, lower margin of error in surgical interventions, and continuous postoperative follow-up.Conclusions: Technological transformation enables effective management with the incorporation of artificial intelligence, which improves administrative and care processes in surgical centers. However, its use presents challenges in terms of the ethical, training, and operational gaps in AI, considering the variety of types available in the technology market, which requires more scientific evidence on the impact of these technologies on healthcare systems, professionals, families, and patients
Reconceptualizing Higher Education: Challenges of Inclusive Teaching Methods and Digital Innovation in the New Normal
Get PDFIntroduction: The pandemic has posed unprecedented challenges to healthcare and higher education. It has encouraged faster migration from traditional modes of learning to digital means and called for inclusive and adaptive educational strategies. As institutions begin to redefine their pedagogical approaches, integrating inclusive practices into digital education is paramount for equity and accessibility in this new normal. The intent of this chapter is to investigate the effectiveness of inclusive pedagogical principles within online higher education. The possible issues include teaching methods, learner-centered content delivery, and formative assessments that encourage inclusive e-learning environments in the post-pandemic age.Methods:A qualitative review methodology is employed to synthesize current research and case studies related to inclusive digital teaching practices. Through this analysis, the study considers institutional frameworks that support hybridity in time and place, flexible learning models, and advanced digital pedagogies to examine their effect on teaching efficacy and student inclusivity.Results:The results show that the flexible learning structure and hybrid pedagogical models have fostered learner involvement and developmental engagement in a significative way. Institutions that merge digital innovation with inclusive teaching strategies show better adaptability to and educational outcomes for varied student populations.Conclusions:That study concluded that inclusive digital pedagogy is vital for the establishment of equitable higher education within the new norm. The study recommends that educational leaders intentionally and strategically make decisions that align with long-term inclusive educational objectives. Institutions need to rethink teaching practices to establish accessible, student-centered, and technologically enriched learning environments
Artificial Intelligence for Fraud Detection and Portfolio Optimization: Insights from UK Financial Institutions
Get PDFIntroduction: Artificial intelligence has become an essential tool in modern financial services, particularly in the areas of fraud detection and investment management. Increasing financial crimes and the growing complexity of market environments have created a need for advanced technological solutions capable of supporting more accurate and timely decision-making in financial institutions. Objective: This study examines the role of artificial intelligence in enhancing fraud detection and portfolio optimization within financial institutions in the United Kingdom.Method: A quantitative, observational survey was conducted among one hundred and fifty banking professionals from five major financial institutions. The data collection instrument was developed by the researchers using information derived from twenty peer-reviewed academic sources and industry publications. Data were analysed using descriptive statistics to identify general patterns and tendencies in respondents’ perceptions. Results: The results show that artificial intelligence contributes meaningfully to strengthening fraud prevention mechanisms and improving investment management processes, particularly through enhanced analytical capacity and improved risk interpretation. Conclusion: The study further demonstrates that artificial intelligence supports more secure, efficient, and responsive financial operations, indicating its relevance for the future of financial services in the United Kingdom
Artificial intelligence, education and digital inclusion
Get PDFIntroduction: The rapid development of human scientific endeavor has enabled the implementation of increasingly automated systems that facilitate certain functions and processes in all spheres of life. Objective: To describe the application of artificial intelligence in education as a strategy to ensure digital inclusion. Method: A comprehensive literature review was conducted. The search was conducted in: SCielo, PubMed, and SCOPUS, repositories, and the Google Scholar search engine. The search strategy consisted of descriptors. 32 papers were used to develop this article. Development: AI provides significant tools, from the graphic representation of content in educational contexts to the creation of conceptual maps and the development of tests to validate acquired knowledge. However, its use must be urgent without losing the guiding and methodological thread, always recognizing that the goal is the acquisition of knowledge. Universities require projection at different scales to present their results for the sake of sociocultural and academic scientific development. With the implementation of AI, this outreach function can be fulfilled, guaranteeing direct and personalized access and promoting digital inclusion. Conclusions: The use of AI in educational subjects offers new platforms and work scenarios. Each of its capabilities adapts to the specifics of the educational environment, while also enhancing easy, affordable, and universal access to educational content.
Recent Advances in Generative AI and Their Impact on Education: Exploring Self-Efficacy in Learning Environments
Get PDFAbstract:The study analyzes recent advances in generative AI and examines how these technologies interact with student self-efficacy within educational settings. It discusses how innovative AI tools can enrich learning experiences and aims to outline potential roles for these tools in boosting learners’ confidence and motivation.This study emphasis on the comprehensive understanding of how GenAI technology will increase confidence levels of a student into academic work.
Method:A quantitative approach was employed with a sample of 161 students from diverse disciplines. Participants completed a self-efficacy scale and answered items related to their experience with generative AI tools. Statistical analysis were conducted to explore relationships between AI engagement and self-efficacy levels.
Results:The analysis\u27s findings show a positive relationship between the application of generative AI and improved self-efficacy in pupils. The outcomes include increased confidence in learning activities and a stronger willingness to take on difficult tasks.The mean score on the Self-Efficacy (SE) scale was 3.12 , SD = 0.58, indicating that on average, the participants reported a relatively high level of self-efficacy. This suggests a sample of students who, in general, feel confident in their ability to overcome challenges and succeed academically.Regarding generative AI usage, the data showed a wide range of engagement. The mean frequency of use was 3.45, SD = 1.15, with a significant portion of students reporting that they "often" or "very often" use GenAI tools for academic purposes. The most commonly reported uses were for brainstorming ideas (78% of users), followed by drafting outlines (65%) and revising text (55%). A smaller percentage reported using AI for complex tasks such as generating code (28%) or scientific summaries (22%).
Conclusions:The findings suggest that introducing generative artificial intelligence into educational programs might be beneficial to the growth of students; nevertheless, additional research is necessary. The findings of this study highlight the importance of self-efficacy as a potential mediator in learning advances offered by artificial intelligence. Future research should investigate specific uses of artificial intelligence and the ways in which these applications affect the teaching and learning processes
Artificial Intelligence and Risk Management in Financial Institutions: Evidence from the UK Banking Sector
Get PDFIntroduction: Artificial Intelligence (AI) has become a transformative force in the global financial sector, reshaping how institutions assess, predict, and mitigate risks. In the United Kingdom, major financial institutions have rapidly adopted AI-driven technologies to enhance operational efficiency and ensure regulatory compliance.Objective: This study investigates the impact of AI on risk assessment and management among financial institutions in the United Kingdom, focusing on the extent of AI tool adoption and its influence on decision-making and compliance processes.Method: A quantitative survey research design was employed. Data were collected from 150 banking professionals across five major institutions, Barclays, Halifax, Lloyds, Nationwide Building Society, and NatWest Bank, using a structured five-point Likert scale questionnaire. A total of 138 valid responses were analyzed using descriptive statistics.Results: Findings revealed widespread adoption of AI tools such as chatbots, robotic process automation (RPA), credit scoring models, behavioral biometrics, and algorithmic trading. Respondents strongly agreed that AI automates critical aspects of risk management (Mean = 4.43), streamlines KYC and AML compliance (Mean = 4.41), and enhances fraud detection (Mean = 4.20). The results further indicated improved precision in risk modeling and decision-making processes (Mean = 4.30).Conclusion: The study concludes that AI has significantly enhanced efficiency, accuracy, and transparency in risk management among UK financial institutions. However, concerns persist regarding algorithmic bias, ethical accountability, and data privacy. The study recommends that financial institutions adopt explainable AI frameworks and regulators develop ethical guidelines for responsible AI integration