Nnamdi Azikiwe University Journals
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ETHICS MEETS INTELLIGENCE: RETHINKING VALUES EDUCATION IN THE AGE OF ARTIFICIAL INTELLIGENCE
No full textAs Artificial Intelligence (AI) becomes increasingly integrated into education, it changes not only how students learn but also the value system they must navigate. This paper explores the growing need to rethink values education in response to the ethical challenges posed by AI. Traditional moral instruction, while still valuable, is insufficient for addressing issues such as data privacy, surveillance, and questions surrounding authorship and intellectual ownership. The study underscores the importance of equipping students with ethical reasoning skills, critical thinking, and AI literacy to prepare them for responsible digital citizenship. It highlights how AI, though beneficial in personalizing learning and improving efficiency, can also perpetuate discrimination and erode trust if used without ethical oversight. By integrating digital ethics across curricula and promoting cross-disciplinary teamwork among educators, technologists, and ethicists, schools can better prepare students for the complexities of the AI age. The study recommended embedding ethics in STEM education, promoting early and continuous ethical education, involving community stakeholders, and establishing national policies to ensure responsible AI use. 
ARTIFICIAL INTELLIGENCE IN EDUCATION, LAW AND SCHOOL MANAGEMENT IN PUBLIC SECONDARY SCHOOL IN IDEATO NORTH LOCAL GOVERNMENT AREA OF IMO STATE
No full textThis study investigated Artificial Intelligence in Education, Law and Security Management in Public Secondary School in Ideato Local Government Area of Imo State, Nigeria. The study adopted descriptive survey research design and was guided by two research questions. A random sampling technique was used to select 144 teachers drawn from the entire population of (228 teachers) in Ideato North Education Zone of the state. A four point scale questionnaire titled “|Artificial Intelligence in Education, Law and Security Management (ATELSM)” structured by the researcher, validated by experts was used for data collection. A reliability index of 0.82 using cronbach alpha was determined for the instrument and was adjudged to be reliable and adequate for the study. Data was analyzed using mean ratings. The findings among others revealed that, Artificial Intelligence Tools were not available for teachers and students to teach and learn through electronics learning. The findings also revealed that teachers and students experience some challenges for using Artificial Intelligence to teach and learn effectively through electronics media. Based on the findings, the researcher recommended that available Artificial Intelligence tools should be provided to the government to schools for effective teaching and learning in the schools through electronic devices. The researcher also recommended that seminars and conferences should be organized in the schools to guide the teachers on how to use Artificial Intelligence effectively
ARTIFICIAL INTELLIGENT IN EDUCATIONAL ADMINISTRATION AND PLANNING: NAVIGATING THE LANDSCAPE OF RISK AND RESPONSIBILITY
No full textArtificial intelligence (AI) is rapidly transforming various sectors, and education is no exception. This article explores the potential of AI in revolutionizing educational administration and planning, examining both the promising opportunities and the inherent risks and responsibilities that accompany its implementation. AI-powered tools offer the potential to streamline administrative tasks, personalize learning pathways, optimize resource allocation, streamlines bureaucratic processes, and provide datadriven insights for strategic planning. However, the deployment of AI also introduces significant risks and responsibilities that necessitate careful consideration. These include job displacement, and the overreliance on technology, ethical considerations, privacy concerns, accountability, algorithmic bias, and the digital divide. This paper explores the dual nature of AI in educational administration: its potential to improve efficiency and equity, and the responsibilities of stakeholders— institutions, policymakers, developers, and educational leaders in mitigating its risks. It argues for a proactive ethical framework and human-centered approach that harnesses the power of AI while safeguarding fundamental values and promoting responsible innovation in the educational landscape. Using a qualitative methodology grounded in secondary data analysis and case study evaluation, this research highlights current applications of AI in education, identifies associated risks, and proposes frameworks for responsible AI deployment. The findings underscore the need for clear policy frameworks, inclusive design processes, and robust oversight mechanisms to ensure AI serves the broader educational mission. Ultimately, this paper calls for a balanced approach to AI in education—one that harnesses its potential while safeguarding ethical standards and human value
Modes of Admission and differential Academic Achievement between Male and Female Students in South-West University, Nigeria.
No full textThis study investigated admission policies and academic achievement among male and female students of public universities in South-West Nigeria (2008-2012). The design encompasses descriptive, ex post facto and correlational types. The sample of the study consisted of 3000 males and 3000 females (400 level) students who graduated from both state and federal public universities, purposively selected for sampling.The only instrument consisted of record observation format to collect secondary data. Three research questions were raised and answered. The three hypotheses formulated were tested using t-test. The dependent variable was indicated by the academic achievement, moderating variable by gender, while the independent variable was indicated by the modes of admission. Findings show that the percentage academic achievement of male students admitted through post-UTME, ELDS and direct entry that had first class and second class upper was higher than their female counterparts whereas the percentage academic achievement of students admitted through merit that had first class was higher in female students than in male students. However, inferential analysis of the data indicated the differences are not statistically significant. The findings conclude that there was no consistent research evidence of the effects of gender difference on students’ academic achievement. What the universities need are resources for teaching and learning and conducive environment that will guarantee effective learning rather than differential admission process. Hence, efforts should be made by university authorities to ensure no student is discriminated against based on gender for admission but all students be treated the same way so as to produce good quality graduates. 
Measures adopted by Principals in Public and Private Secondary Schools in Enugu State for Effective Evaluation of Students’ Learning Experience.
No full textThe seeming decline in the quality of education in Nigeria necessitated this study on evaluation of students’ learning experience measures in public and private secondary schools in Enugu State: implications for quality assurance. The study adopted the descriptive survey research design. One research question guided the study while one hypothesis was tested at 0.05 level of significance. The population of the study comprised 25,579 respondents made up of 8,362 teachers in public secondary schools in Enugu State and 17, 217 private secondary school teachers in Enugu State. The sample for the study comprised of 773 (382 public and 391 private) teachers. A researcher developed questionnaire was the instrument used for data collection. The instrument was validated by three experts, one in Educational measurement and evaluation, Department of Educational Foundation and the others in Educational planning and management, Educational Management and Policy Department all in the Faculty of Education Nnamdi Azikiwe University, Awka. The Cronbach’s alpha method was used to determine the internal consistency of the items and it yielded a reliability coefficient of 0.76. The researchers with the help of eight research assistants distributed and successfully collected 773 copies of the questionnaire administered. The research question was answered using the mean, while the hypothesis was tested using z-test at 0.05 level of significance. It was found out among others that principals in public and private secondary school principals in Enugu State adopt adequate measures in the evaluation of students’ learning experience. Based on the findings of the study, it was recommended among others secondary school principals should introduce a special wear for the students during examination to make sure they don’t bring in materials related to the examination
STRATEGIC PLANNING FOR SELF RELIANCE USING ARTIFICIAL INTELLIGENCE AND SECURITY MANAGEMENT IN MODERN EDUCATIONAL SYSTEMS,
No full textIn the evolving landscape of global education, strategic planning is essential for fostering selfreliance and resilience in academic institutions. This paper explores how artificial intelligence (AI) and advanced security management systems can be leveraged to promote strategic self-sufficiency in modern educational environments. AI-driven tools such as predictive analytics, personalized learning platforms, intelligent tutoring systems, and administrative automation are reshaping teaching, learning, and institutional operations. These innovations not only enhance educational quality and efficiency but also reduce dependence on external resources and traditional manual processes. Furthermore, the paper addresses the integration of AI with security management frameworks to protect data, ensure cybersecurity, and support safe digital learning environments. Emphasis is placed on risk assessment, proactive threat detection, identity management, and the ethical use of AI technologies. By aligning AI capabilities with strategic institutional goals, educational systems can build a future-ready infrastructure that empowers learners, educators, and administrators alike. The study provides a conceptual framework and practical strategies for deploying AI and security solutions in a sustainable, scalable, and secure manner. The paper concludes with policy recommendations and implementation guidelines to help institutions transition towards AI-enabled self-reliance and strategic autonomy in education. 
Ten-year review of feto-maternal outcomes of anaemia in pregnancy at a tertiary health facility in Southern Nigeria
No full textAnaemia in pregnancy remains a major global reproductive health concern, particularly in developing countries like Nigeria. This study assessed the prevalence, severity, and feto-maternal outcomes of pregnancy-related anaemia at Delta State University Teaching Hospital (DELSUTH), Oghara.
A retrospective descriptive study was conducted from 2012 to 2021. Records of pregnant women with anaemia (Hb <11 g/dL or PCV <33%) and complete outcome data were analyzed. Women with chronic medical/haematological conditions, or incomplete records were excluded. Data were extracted using structured forms and analyzed with SPSS v25. Chi-square and Fisher’s exact (where appropriate) tests were applied, with bivariate analysis to test associations between anaemia severity and outcomes.
Out of 2,506 deliveries, 393 (15.7%) were anaemic. Of these, 326 cases with complete records were included. Most women were aged 31–40 years (42.9%), unbooked (58.6%), and had mild anaemia (63.5%). Severe anaemia (4.9%) was significantly associated with caesarean delivery (87.5%), blood transfusion (100%), postpartum haemorrhage (31.3%), sepsis (43.8%), prolonged stay in hospital (43.8%), and maternal mortality (31.3%) (p < 0.001). While severe anaemia was linked to low birth weight (37.5%) and macrosomia (31.3%), adverse fetal outcomes were more common in mild cases but not statistically significant. Haematinics were administered in 83.7% and blood transfusions in 16.3%.
Anaemia in pregnancy remains prevalent at DELSUTH. Severity is associated with poor maternal outcomes, highlighting the importance of early detection, improved antenatal access, and specialized institutional responses
Molecular surveillance and detection of SARS-CoV-2, polio, and non-polio enteroviruses in wastewater samples from Enugu and Ebonyi States
No full textWastewater-based epidemiology (WBE) has emerged as a critical tool for monitoring the community-level spread of viral pathogens, particularly in resource-limited settings. This study employed molecular surveillance to detect SARS-CoV-2, poliovirus, and non-polio enteroviruses (NPEVs) in wastewater samples from Nsukka, Enugu, and Abakaliki metropolises. A total of 148 wastewater samples were collected between November 2023 and April 2024 from open drainages and a sewage treatment plant across nine sites in both states.
Samples were concentrated using polyethylene glycol precipitation. For poliovirus and NPEVs, concentrated samples were inoculated into L20B and RD cell lines for viral culture and observed for cytopathic effects (CPE) following the World Health Organization (WHO) environmental surveillance algorithm. Reverse transcription real-time PCR (rRT-PCR) was employed for the detection of SARS-CoV-2 RNA. Pan-enterovirus rRT-PCR for enteroviruses, and poliovirus-specific rRT-PCR for differentiation of polioviruses.
SARS-CoV-2 RNA was detected in 11 (7.4%) of the total samples, all of which originated from the University of Nigeria Nsukka (UNN) sewage plant in Enugu State, indicating an 18.3% positivity rate in that location. NPEVs was detected in 9 (6.1%) samples, also exclusively from the UNN site. No poliovirus (VDPV2 or nOPV2) was detected in any sample, and all samples from Ebonyi State and open drainage systems were negative for all targeted viruses.
These findings underscore the value of WBE as a complementary surveillance tool to strengthen Nigeria’s public health response to emerging and re-emerging viral infections
THE IMPACT OF PEER ASSESSMENT ON SENIOR SECONDARY SCHOOL STUDENT\u27S ACADEMIC PERFORMANCE IN ECONOMICS IN IKA SOUTH, DELTA STATE
No full textThe impact of peer assessment on senior secondary school student’s academic performance in economics was the main subject of the study. This paper reports a study carried out to determine a sample of 396 senior secondary school II students randomly selected from 10 secondary schools in Ika South, Delta State, was used for the study. Data was gathered through the researcher’s developedeconomics performance test (EPT) items. Two hypotheses were answered and tested using mean scores and ANCOVA which were then analysed using both descriptive and inferential statistical methods. The results of the research showed that the mean performance scores of the training and experimental groups of students who received peer assessment training differed significantly. However,after receiving peer assessment training, students\u27 performance test scores do not change substantially based on their gender. Hence, this paper seeks to examine the acquisition of positive emotional social skills as one of the measures for restoring standards of Nigerian educational system using peer assessment to improve their students\u27 academic performance in the area of economics is peer assessment training. To increase student performance, educators should include peer evaluation training in their economics lessons. Findings indicated that the paper therefore discusses the implications of these findings for peer assessment and makes recommendations for improving performance which includes equitable distribution of material resources for different teaching of economics. 
Innovation and Creativity among Library and Information Science Undergraduates: The Industrial Trainees’ Experience
No full textThe study focused on innovation and creativity among Library and Information Science (LIS) industrial trainees. Descriptive survey design was employed for the study. A population of 79 industrial trainees at the Danbaba Danfulani Suntai Library (DDSL), Jalingo were the subjects of the research. The entire population was studied using the census sampling technique. A researcher-structured questionnaire was instrument for data collection. 79 copies of the questionnaire were administered on-the-spot to the industrial trainees but 73 copies were retrieved and found suitable for data analysis. Data analysis was done using descriptive statistics of mean scores and standard deviation presented in tables and suitable graphic illustrations. Subjecting the trainees to hands-on participation and organization of lectures on innovations and creativity were among the methods adopted by the Library for encouraging the students to develop innovative and creative ideas. The findings further revealed that spending many hours reading about new ideas and often visiting the internet for modern developments, are part of the activities done by the students towards improved innovation and creativity. Factors such as the absence of makerspace for innovation and creativity in the Library and the absence of a guide on how to develop innovative and creative ideas were among the factors limiting the students’ involvement in innovation and creativity. The study concluded that engaging in innovation and creative ideas remains critical in the present dispensation. Therefore the study recommends the need for libraries and other places of industrial attachment to create a healthy and provocative atmosphere for innovation and creativity to thrive as well as ensure the provision of adequate mentoring for innovations and creative ideas, among other things.