by Admin | Nov 1, 2025
This study examines the design and implementation of an Online Result Clearance System (ORCS) for the Federal College of Education, Pankshin, as a solution to the inefficiencies of the existing manual clearance process. The manual system is characterized by delays, human error, and administrative bottlenecks that hinder timely student clearance and graduation. Using a descriptive survey design, data were collected from key administrative departments and students to identify challenges associated with the current system and assess the feasibility of digital transformation. Findings revealed that the adoption of an online clearance system would enhance administrative efficiency, promote transparency, and improve data accuracy. However, the study also identified key challenges such as cyber security risks, infrastructural limitations and inadequate ICT skills among users. The proposed ORCS model integrates all clearance units’ academic departments, bursary, library, and student affairs into a centralized web-based platform for real-time verification and approval. The study concludes that implementing the system would significantly improve institutional service delivery and student satisfaction, provided that necessary technical and training supports are established. Recommendations were made for gradual system deployment, staff capacity building, and continuous evaluation to ensure sustainability and security.
by Admin | Oct 31, 2025
This study investigated online voting system as case study of Federal College of Education Pankshin SUG. The study adopted descriptive survey research design for investigation and a sample size of 20 respondents was considered for the study. Descriptive statistics such as frequency tables and simple percentages were used to present the demography of respondents, mean score was used to answer the research questions from 20 returned questionnaire. The study further adopted the use of mean score to answer research questions that were raised based on the objectives. The results revealed thatthe essential requirements and the potential challenges of implementing an online voting system. The system necessitates a secure and reliable internet connection, robust voter authentication, user-friendliness and accessibility for all students, data privacy, protection against cyber-attacks, and comprehensive technical support and training, it also offers significant benefits such as reducing the time needed to count votes and announce results and enhancing voter participation through increased convenience. The study recommends that there is need for school management to invest in advanced cybersecurity protocols and continuous monitoring to protect against cyber-attacks and data breaches using encryption, multi-factor authentication and regular security audits to ensure the integrity and confidentiality of the voting process. Also, there is need for management to develop a robust training program for both voters and election officials to familiarize them with the online voting system to ensure that technical support is readily available to assist users during the voting process, addressing any issues promptly to maintain trust and efficiency.
by Admin | Oct 29, 2025
This study investigated the energy generation potential of pigeon pea waste ,rice straw, and donkey rumen liquor through anaerobic digestion using a 25-liters locally fabricated plastic bio-digester. The digester was constructed and operated at Enugu state university of Science and Technology, Agbani, and was charged with a feedstock-to-water ratio of 1:1:2:2 by mass(6kg each of rice straw and pigeon pea waste, 12kg of donkey rumen liquor and 12kg of water ), achieving a 75% fill level. The retention period spanned 25 days, during which daily biogas production, ambient and slurry temperatures, gas pressure, and pH values were monitored. Biogas production commenced on the 9th day and peaked on the 19th day with a maximum daily yield of 920mL at a slurry temperature of 40°C. The cumulative biogas yield was 9,461mL over the 25-day period, indicating sustained gas production beyond the observation window. The biogas was purified using a multi-stage scrubbing system involving sodium hydroxide, silica gel, activated carbon and water, which resulted in the removal of approximately 92.6% CO₂ and 90% H₂S. Combustion tests confirmed the flammability of the purified gas, suggesting its suitability for domestic applications. Comparative error analysis and statistical tests (MBE, RMSE, MPE and t-test) demonstrated good performance of the constructed digester relative to a 45-liter reference model. The results affirmed the viability of co-digesting agricultural and animal wastes for sustainable energy production, offering a cost-effective solution for waste management and environmental conservation in Nigeria.
by Admin | Oct 29, 2025
The integration of Artificial Intelligence (AI) in education has transformed traditional teaching and learning practices across disciplines. However, chemical education has been relatively slow in adopting AI-driven pedagogies despite its potential to enhance conceptual understanding, laboratory simulations, and personalized learning experiences. This study explores how the infusion of AI technologies can redefine pedagogical approaches in chemical education, emphasizing a paradigm shift from content-centered instruction to learner-centered, inquiry-driven models. The research further investigates how educators can align AI tools with constructivist and technological pedagogical content knowledge (TPACK) frameworks to promote deeper learning and creativity in chemistry classrooms. A qualitative interpretive research design was employed through an extensive literature synthesis of peer-reviewed publications, policy reports, and educational frameworks from 2018–2025. The study analyzed best practices and case studies of AI-enhanced chemistry teaching using thematic analysis to identify emerging pedagogical trends and challenges. Findings indicate that AI integration improves learners’ engagement, supports adaptive assessments, and enhances virtual experimentation. However, ethical concerns, data privacy, and teachers’ digital literacy remain critical barriers to sustainable adoption. The study concludes that AI-driven pedagogy represents a transformative paradigm in chemical education, demanding a redefinition of curriculum design, teacher preparation, and assessment strategies. The paper recommends a hybrid AI-pedagogical framework that promotes innovation, inclusivity, and continuous professional development for chemistry educators.
