1. THE IMPACT OF INTEGRATED GROUP BASED MASTERY LEARNING MODEL ON SOCIAL STUDIES STUDENT PERFORMANCE
Background of the study
Recent sociopolitical and economic developments in the world and within nations have resulted in revised educational objectives and increased difficulty for social studies (Udo, & Udofia, 2022). Schools are required to educate students...
2. EXAMINATION OF INTEGRATED GROUP BASED MASTERY LEARNING MODEL AND ITS EFFECT ON SOCIAL STUDIES STUDENT ACHIEVEMENT
Background of the study
Recent socio-political and economic developments in the world and within nations have resulted in shifts in educational objectives and increased obstacles for social studies. Schools are expected to provide students with not just fundamental unde...
3. INVESTIGATION ON THE EFFECT OF INTEGRATED GROUP BASED MASTERY LEARNING MODEL ON SOCIAL STUDIES STUDENT ACHIEVEMENT
Background of the study
Recent socio-political and economic developments in the world and within nations have resulted in shifts in educational objectives and increased obstacles for social studies. Schools are expected to provide students with not just fundament...
4. PREDICTING STUDENTS ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK
BACKGROUND TO THE STUDY
Predicting student academic performance has long been an important research topic. Among the issues of education system, questions concerning admissions into academic institutions (secondary and tertiary level) remain important (Ting, 2008). The...
5. Building more performant large scale networks for the Internet of Things
Abstract
Inspired by the rise of smaller computing devices and ubiquitous network connectivity, this dissertation focuses on the dynamics of extremely large scale computer networks and mechanisms to improve their performance. Traditional networks were not designed to support the billion...
6. Design, Implementation, and Applications of Fully Autonomous Aerial Systems
Abstract
Fully autonomous aerial systems (FAAS) combine edge and cloud hardware with UAVs and considerable software support to create self-governing systems. FAAS complete complicated missions with no human piloting by sensing and responding to their environment in real-time. FAAS requi...
7. FEW-SHOT MALWARE DETECTION USING A NOVEL ADVERSARIAL REPROGRAMMING MODEL
ABSTRACT
The increasing sophistication of malware has made detecting and defending against new strains a major challenge for cybersecurity. One promising approach to this problem is using machine learning techniques that extract representative features and train classification mod...
8. NOVEL NATURAL LANGUAGE PROCESSING MODELS FOR MEDICAL TERMS AND SYMPTOMS DETECTION IN TWITTER
ABSTRACT
This dissertation focuses on disambiguation of language use on Twitter about drug use, consumption types of drugs, drug legalization, ontology-enhanced approaches, and prediction analysis of data-driven by developing novel NLP models. Three technical aims comprise this wo...
9. EFFECTS OF JIGSAW IV COOPERATIVE LEARNING STRATEGY ON STUDENTS’ PERCEPTION, RETENTION AND PERFORMANCE IN ORGANIC CHEMISTRY
Introduction
The relevance of science to national goals, aspirations and economy dictates to a large extent, the huge commitment and support which nations make and give to science and technology advancement. This may be the reason why Achor (2006) and Ada (2008) opined...
10. EFFECTS OF 5E-LEARNING MODEL ON CREATIVITY, PERFORMANCE AND RETENTION IN ECOLOGY AMONG SECONDARY SCHOOL STUDENTS
ABSTRACT
The study investigated the effects of 5E-Learning Model on Creativity, Performance and Retention in Ecology among Secondary School II Students in Zaria Education Zone, Kaduna Nigeria. The research design adopted for the study was quasi experimental design pretest-posttest, post...
11. EFFECTS OF COOPERATIVE AND LABORATORY METHOD ON PERFORMANCE AND RETENTION OF STUDENTS IN CHEMISTRY IN SECONDARY SCHOOLS IN JIGAWA STATE, NIGERIA
ABSTRACT
The study examined the effects of cooperative and laboratory method on performance and retention of students in chemistry in secondary school in Jigawa state, Nigeria. The study was carried out with six objectives, which are to; find out the effect of cooperative learning strat...
12. AI-DRIVEN TECHNIQUES FOR MALWARE AND MALICIOUS CODE DETECTION
ABSTRACT
Driven by considerable economic profits, there has been explosive growth of malware which has posed significant damages and finical losses to public users. The increasingly sophisticated malware call for new defensive techniques that are capable of protecting l...
13. THE IMPACT OF COVID-19 ON VOCATIONAL EDUCATION DELIVERY
Abstract: This research explores the impact of the COVID-19 pandemic on vocational education delivery in Nigeria, examining adaptations, challenges, and lessons learned in transitioning to online and blended learning formats. The pandemic ha...
14. THE ROLE OF PEER LEARNING IN ENHANCING TECHNICAL SKILLS
Abstract: This research explores the role of peer learning in enhancing technical skills in Nigerian vocational education, examining collaborative learning approaches, peer feedback mechanisms, and knowledge sharing dynamics among vocational...
15. THE IMPACT OF COVID-19 ON VOCATIONAL EDUCATION DELIVERY AND OUTCOMES
ABSTRACT: This study investigates the impact of COVID-19 on vocational education delivery and outcomes, examining the disruptions and adaptations made during the pandemic. The objectives were to (1) assess the extent to which COVID-19 affect...
16. THE EFFECTIVENESS OF E-LEARNING PLATFORMS IN TECHNICAL EDUCATION
ABSTRACT: This study explores the effectiveness of e-learning platforms in technical education, focusing on their impact on student engagement and learning outcomes. The objectives were to (1) assess the current use of e-learning platforms in technical education, (2) evaluate the effectivene...
17. THE EFFECTIVENESS OF BLENDED LEARNING MODELS IN TECHNICAL EDUCATION
ABSTRACT: This study investigates the effectiveness of blended learning models in technical education, highlighting the integration of online and face-to-face learning to enhance educational outcomes. The objectives were to (1) evaluate the impact of blended learning on student engagement an...
18. DEEP LEARNING BASED CERVICAL CANCER DISEASE DETECTION AND CLASSIFICATION MODEL
Abstract
Cervical cancer is the second most common and second most deadly cancer in Ethiopia. The disease's incidence and prevalence are increasing over time due to population growth and aging, as well as an...
19. An Evaluation of Artificial Intelligence-Driven Predictive Models for Student Performance: A Case Study of University of Jos, Plateau State
1.1 Background of the Study
The application of Artificial Intelligence (AI) in educational settings has expanded significantly in recent years, offering innovative approaches to enhance student outcomes. Predictive analytics, powered by AI, has emerged as a powerful tool for forecasting...
20. Assessing the Role of Predictive Maintenance Using Artificial Intelligence in Manufacturing Plants: A Case Study of Dangote Cement Factory, Kogi State
1.1 Background of the Study
In the manufacturing sector, equipment failure and downtime have long been a significant challenge, leading to reduced productivity, increased operational costs, and lost revenue. For companies like Dangote Cement Factory in Kogi State, which operates with co...
21. THE ROLE OF PREDICTIVE ANALYTICS FOR REAL ESTATE MARKET TRENDS: A CASE STUDY OF JOS HOUSING MARKETS, PLATEAU STATE
CHAPTER ONE
1.1 Background of the Study
Real estate markets are dynamic, characterized by fluctuating demand and supply patterns influenced by socio-economic, political, and environmental factors. In Jos, Plateau State, the housing market has...
22. THE IMPACT OF ARTIFICIAL INTELLIGENCE IN MONITORING SOIL HEALTH FOR INCREASED PRODUCTIVITY: A CASE STUDY OF WHEAT FARMS IN GOMBE STATE
CHAPTER ONE
1.1 Background of the Study
Soil health is critical for sustainable agriculture, as it directly influences crop yield and quality. In wheat farming, maintaining soil fertility and structure is essential to achieving high productivi...
23. THE ROLE OF PREDICTIVE ANALYTICS FOR REAL ESTATE MARKET TRENDS: A CASE STUDY OF JOS HOUSING MARKETS, PLATEAU STATE
CHAPTER ONE
1.1 Background of the Study
The real estate market is inherently dynamic, influenced by factors such as economic conditions, population growth, urbanization, and government policies. Accurately predicting market trends is crucial f...
24. THE ROLE OF AI IN FRAUD DETECTION AND PREVENTION IN ACCOUNTING: A CASE STUDY OF FINANCIAL INSTITUTIONS IN ABUJA, FCT
CHAPTER ONE
1.1 Background of the Study
Fraudulent activities within financial institutions are a significant concern for regulators, investors, and clients. Fraud detection and prevention have traditionally relied on manual auditing processes...
25. The Role of Artificial Intelligence in Smart Grid Optimization: A Case Study of Kainji Dam, Niger State
1.1 Background of the Study
The growing demand for energy globally necessitates the optimization of energy grids to ensure sustainability, efficiency, and reliability. Smart grids have emerged as innovative solutions to modernize traditional energy distribution systems, providing dynami...
26. The Role of Artificial Intelligence in Creating Personalized Marketing Campaigns: A Case Study of SMEs in Jos, Plateau State
1.1 Background of the Study
The emergence of Artificial Intelligence (AI) has revolutionized marketing by enabling unprecedented levels of personalization in campaigns. Personalized marketing leverages AI algorithms to analyze customer data, predict behavior, and tailor messages to indi...
27. The Role of Machine Learning in Automated Risk Assessment: A Study of Fintech Firms in Yobe State
Background of the Study
Machine learning (ML) has emerged as a powerful tool in automated risk assessment, particularly within fintech firms that deal with large amounts of financial data. By leveraging algorithms that learn from data and improve over time, fintech comp...
28. An Evaluation of Machine Learning in Fraud Risk Assessment: A Case Study of Digital Payment Platforms in Benue State
Background of the Study
Fraud risk assessment is an essential part of ensuring the security and trustworthiness of digital payment platforms. Machine learning algorithms are increasingly being used in fraud detection to analyze patterns, identify anomalies, and predict...
29. A Review of the Impact of AI-Powered Pricing Algorithms on Revenue Optimization: A Case Study of E-Commerce Platforms in Taraba State
Background of the Study
Artificial intelligence (AI)-powered pricing algorithms are revolutionizing pricing strategies for e-commerce platforms by allowing for dynamic and real-time pricing adjustments based on factors such as demand, competitor pricing...
30. An Evaluation of Customer Purchase Prediction Models in FMCG Companies: A Case Study of Consumer Goods Firms in Katsina State
Background of the Study
In the fast-moving consumer goods (FMCG) industry, predicting customer purchase behavior is crucial for developing effective marketing strategies and managing supply chains. By leveraging data analytics and machine learning model...
31. An Appraisal of Demand Forecasting Models in the Agricultural Sector: A Study of Agribusiness Firms in Nasarawa State
Background of the Study
Demand forecasting plays a critical role in the agricultural sector, particularly in agribusiness firms, where predicting market demand accurately can help optimize production, reduce wastage, and enhance profitability. In Nigeri...
32. An Assessment of Deep Learning Algorithms for Customer Behavior Forecasting: A Case Study of Online Shopping Platforms in Taraba State
Background of the Study
Deep learning algorithms, a subset of machine learning, have shown considerable promise in transforming industries by enabling more accurate predictions and automating complex tasks. In the context of online retail, deep learning...
33. An Assessment of the Role of Predictive Analytics in Risk Management: A Study of Microfinance Institutions in Nasarawa State
Background of the Study
Risk management is an essential function for financial institutions, including microfinance banks, as it helps safeguard against potential financial losses and operational disruptions. Traditionally, risk management in microfinan...
34. An Investigation of AI-Driven Automated Pricing Strategies in Online Retail: A Study of Digital Stores in Benue State
Background of the Study
The rise of e-commerce has significantly transformed retail industries worldwide, and pricing strategies have become a crucial determinant of competitive advantage. Traditional pricing models, based on manual adjustments or stati...
35. An Investigation of Predictive Analytics in Hospital Resource Allocation: A Case Study of Private Healthcare Facilities in Kogi State
Background of the Study
Predictive analytics, which involves the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes, is increasingly being adopted in various sectors, including healthcare....
36. An Investigation of Predictive Maintenance Analytics in the Nigerian Oil and Gas Industry: A Study in Bauchi State
Background of the Study
Predictive maintenance analytics involves using data from sensors, historical maintenance logs, and machine learning models to predict equipment failures before they occur. This approach is particularly critical in the oil and ga...
37. An Assessment of Deep Learning Models for Demand Forecasting: A Case Study of FMCG Companies in Kano State
Background of the Study
Demand forecasting is a critical function for fast-moving consumer goods (FMCG) companies, enabling them to predict future customer demand and make informed decisions about inventory, production, and supply chain management. Traditional forecasti...
38. The role of artificial intelligence in radiology and diagnostic accuracy: A study of hospitals in Kogi State
Background of the Study
Artificial intelligence (AI) has revolutionized many aspects of healthcare, particularly in diagnostic processes. Radiology, as a critical field of medical imaging, is one area where AI has shown great potential in improving diagnostic accuracy. Mac...
39. An assessment of the effectiveness of blended learning in nursing education in University of Lagos Teaching Hospital.
Background of the Study
Blended learning, which integrates traditional face-to-face instruction with online learning, has become a prominent pedagogical approach in higher education, particularly in health sciences. In nursing education, this model has garnered attention for its potenti...
40. THE EFFECT OF PREDICTIVE ANALYTICS FOR IMPROVING STUDENT RETENTION: A CASE STUDY OF UMARU MUSA YAR’ADUA UNIVERSITY, KATSINA STATE
Background of the Study
Student retention is a critical concern for higher education institutions worldwide. High attrition rates not only affect institutional performance and funding but also undermine students' chances of achieving their academic and career goals....
41. ARTIFICIAL INTELLIGENCE APPLICATIONS IN WASTE-TO-ENERGY CONVERSION: A CASE STUDY OF SOKOTO STATE WASTE MANAGEMENT AGENCY
Background of the Study
Waste-to-energy (WTE) conversion is a process that transforms waste materials into usable energy, such as electricity, heat, or biofuels. It offers a sustainable solution to two pressing global issues: waste management and energy generation. Deve...
42. THE IMPACT OF MACHINE LEARNING IN PREDICTING STOCK MARKET TRENDS IN NIGERIA: A CASE STUDY OF ABUJA STOCK EXCHANGE
Background of the Study
The stock market is a vital component of economic growth, providing a platform for investment and capital mobilization. However, predicting stock market trends remains one of the most complex and challenging tasks due to the dynamic and volatile...
43. The Effect of COVID-19 on Nursing Education and Clinical Practice in Federal Medical Centre, Keffi
Background of the Study
The COVID-19 pandemic has had profound effects on various sectors globally, with healthcare and education being among the most impacted. Nursing education, which requires both theoretical and practical components, was significantly disrupted by...
44. The Effect of Cognitive Apprenticeship on Clinical Skill Mastery Among Nursing Students in Nasarawa State College of Health Sciences
Background of the Study
Nursing education emphasizes the acquisition of clinical skills necessary for safe and effective patient care. Traditional teaching methods often rely on didactic lectures and theoretical knowledge, which may not sufficiently prepare students for...
45. Exploring the Use of AI in Automated Network Security Auditing in Federal University, Wukari, Taraba State
Background of the Study
With the rapid evolution of cyber threats, traditional network security auditing methods have become insufficient in identifying and mitigating vulnerabilities within university networks. Federal University, Wukari, Taraba State, like many academ...
46. Analysis of the Effectiveness of AI in Network Security Monitoring in Federal University, Gusau, Zamfara State
Background of the Study
Network security is a critical aspect of any academic institution, with universities like Federal University, Gusau, Zamfara State, relying on robust and secure network infrastructures for the smooth operation of their academic, administrative, a...
47. Design of a Virtual Classroom Platform for Secondary Schools in Bauchi Local Government Area, Bauchi State
Background of the Study
The rapid advancement of information and communication technology (ICT) has revolutionized educational practices globally. Virtual classrooms have emerged as a crucial component of modern education, enabling remote learning, reso...
48. Enhancing Critical Thinking Skills through Problem-Based Learning in Secondary Schools in Damaturu Local Government Area, Yobe State
Background of the Study
Critical thinking skills are essential for students to analyze, evaluate, and synthesize information effectively. In the rapidly evolving educational landscape, traditional rote-learning methods are increasingly being criticized...
49. Enhancing Student Motivation through AI-Based Personalized Learning in Secondary Schools in Damaturu Local Government Area, Yobe State
Background of the Study
Student motivation plays a crucial role in the learning process, directly impacting academic performance, engagement, and long-term educational success. Motivation can be classified into intrinsic motivation, which arises from pe...
50. Exploring the Use of Data Science in Predicting Student Performance in Secondary Schools in Lafia Local Government Area, Nasarawa State
Background of the Study
In recent years, the application of data science in education has gained significant attention, particularly in predicting student performance. By leveraging data analytics and machine learning techniques, educators can identify patterns and fact...
