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...
