Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Data Science: Journal of Computing and Applied Informatics Informatio: Journal of Library and Information Science Journal of Information Systems and Technology
Dada, Kayode Sunday John
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science Mechanical Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Generative AI Usage and Information Literacy Skills among University Students in North-West Nigeria: Generative AI Usage and Information Literacy Skills among University Students in North-West Nigeria Dada, Kayode Sunday John; Quadir, Opeyemi Romoke
Data Science: Journal of Computing and Applied Informatics Vol. 10 No. 1 (2026): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v10.i1-24709

Abstract

This study examined the relationship between generative AI usage and information literacy skills among university students in North-West Nigeria. The research investigated awareness levels, evaluation practices, ethical considerations, and barriers affecting the integration of AI-powered tools in academic contexts. Employing a quantitative research design, the study surveyed 385 undergraduate students from federal, state, and private universities using the Generative AI and Information Literacy Impact Questionnaire (GAIL-IQ). Data analysis utilized descriptive statistics including means, standard deviations, and frequencies through SPSS version 26. The ACRL Framework for Information Literacy (2016) provided the theoretical foundation, emphasizing threshold concepts in information understanding. Findings revealed moderate awareness levels (M=3.42, SD=0.89) of AI-powered tools among students, with significant variations across institutional types. Students demonstrated limited capacity in evaluating AI-generated content credibility (M=2.78, SD=0.94), raising concerns about information accuracy assessment. Ethical practices regarding attribution and academic integrity showed moderate adherence (M=3.15, SD=1.02), though infrastructural constraints and inadequate training emerged as primary barriers (M=3.68, SD=0.87). The study concluded that while students increasingly engage with AI-powered tools, critical evaluation competencies and ethical awareness require substantial improvement. The study recommends that Universities in North-West Nigeria should integrate comprehensive information literacy training programs specifically addressing AI-powered content evaluation, ethical usage frameworks, and attribution practices into undergraduate curricula to enhance academic integrity and critical thinking capabilities.
Quantum Computing, Blockchain Technology and its Future Impact on Library Encryption Standards in Nigerian Libraries: Quantum Computing, Blockchain Technology and its Future Impact on Library Encryption Standards in Nigerian Libraries Dada, Kayode Sunday John
Data Science: Journal of Computing and Applied Informatics Vol. 10 No. 1 (2026): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v10.i1-24708

Abstract

The rapid evolution of information technologies is ushering in a new era for academic libraries, characterized by the simultaneous emergence of quantum computing and blockchain technology. This research investigated how these innovations could transform information management practices in Nigerian higher education libraries. The study adopts a quantitative methodology, surveying 242 librarians, computer scientists, librarians, computing specialists, and information technology officers working in university libraries to assess readiness and perception. Conversely, block chain technology offers a decentralized, immutable framework for secure digital rights management, verified academic credentials, and transparent collection development. Findings show moderate support for quantum computing in data encryption (mean=3.36, SD=1.05), but stronger endorsement for Blockchain in collection transparency (mean=3.73, SD=0.98) and bibliographic management (mean=3.74, SD=0.91). Challenges dominate, with high agreement on costs (mean=4.40, SD=0.80), skills gaps (mean=4.32, SD=0.79), and power issues (mean=4.43, SD=0.85). The paper concludes that for Nigerian libraries to remain relevant and secure, they must transition towards post-quantum cryptography while leveraging block chain for data integrity Based on these findings, the study recommends immediate formation of a national consortium among Nigerian tertiary libraries to pool resources for pilot projects in block chain-based archiving and to develop a roadmap for quantum-resistant security upgrades and the need for library administrators to prioritize building partnerships with technology departments, seek external funding for infrastructure upgrades, and develop comprehensive training programs to equip staff with necessary technical competencies for managing next-generation security systems.
Utilization of Library Technology Services for Academic Performance of Senior Secondary School Students in Zaria Local Government Area, Kaduna State Dada, Kayode Sunday John
Journal of Information Systems and Technology Vol. 1 No. 2 (2025): Journal of Information Systems and Technology
Publisher : Athallah Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/jistech.v1i2.57

Abstract

This study investigates the availability and challenges of library technology services for senior secondary school students in Zaria Local Government Education Authority (LGEA), Kaduna State, Nigeria, using a descriptive survey design. Data were collected from 364 students across 12 public secondary schools via a validated questionnaire (LTSAUCQ) with a 91% response rate. Findings reveal that Digital Information Resources (e.g., online catalogs, e-books) are relatively available (81.8%, mean = 0.818), followed by Library Management Systems (60.2%, mean = 0.602), while Specialized Technology Services (e.g., AI, digital repositories) are least available (41.8%, mean = 0.418), with an overall availability of 61.2%. However, significant utilization challenges persist, with Training and Skills Challenges being most prevalent (77.5%, mean = 0.775), followed by Infrastructure and Resource Challenges (70.1%, mean = 0.701) and Access and Usability Challenges (63.4%, mean = 0.634). The overall challenge prevalence (70.3%) exceeds service availability, indicating a critical implementation gap. This misalignment highlights that mere technology provision without addressing training, infrastructure, and usability barriers results in suboptimal educational outcomes. The low availability of advanced technologies risks widening the digital divide, limiting students’ readiness for technology-intensive environments. The study highlight the need for holistic interventions, including infrastructure upgrades, comprehensive training, and user education programs, to enhance library technology utilization and support academic performance. These findings advocate for policy reforms prioritizing school library development to foster digital literacy and equitable educational opportunities.
AI adoption in academic libraries: Practices, challenges, and research opportunities Dada, Kayode Sunday John; Quadir, Romoke Opeyemi; Mallam, Diana
Jurnal Informatio Vol 6, No 2 (2026): 2026
Publisher : Faculty of Communication, Padjadjaran University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/inf.v6i2.70037

Abstract

Background: The integration of artificial intelligence (AI) into academic library operations represents one of the most consequential shifts in contemporary library science. Although AI adoption has accelerated globally, empirical evidence documenting actual practices, adoption barriers, and future research trajectories in Nigerian academic libraries remains sparse. This gap is consequential: without a systematic evidence base, institutional decision-makers and professional bodies are compelled to allocate resources and formulate strategy in an evidential vacuum. This study advances the field by delivering the first institutionally stratified empirical investigation comparing federal and state university libraries in Nigeria, thereby contributing a novel and contextually grounded perspective to the global discourse on AI adoption in library and information science.Purpose: This study examines the current state of AI adoption in Nigerian academic libraries, identifying the technologies deployed, the challenges encountered across technological, organisational, environmental, and individual dimensions, and emerging directions for future scholarly inquiry.Methods: A descriptive survey design was employed. Data were collected from 245 library professionals drawn from 30 purposively selected federal and state university libraries across Nigeria using a structured, validated questionnaire (Cronbach’s α = 0.87). Descriptive statistics and frequency distributions were used to analyse the data.Results: Findings reveal that AI-powered catalogue search systems and chatbot-assisted reference services are the most widely adopted practices, while NLP tools and machine learning-based recommendation engines are gaining traction. Inadequate infrastructure, insufficient digital literacy, and limited funding constitute the most persistent barriers to adoption.Conclusions: AI adoption in Nigerian academic libraries is at an early but promising stage, with significant variation across institutional types. The study concludes that targeted policy interventions, capacity-building initiatives, and sustained research investment are essential for scaling AI integration. These findings have direct implications not only for Nigeria but for the broader Global South library community seeking to navigate AI integration within resource-constrained environments.
Co-Authors Mallam, Diana Quadir, Opeyemi Romoke Quadir, Romoke Opeyemi