Background of the Study
Mathematics throughout the world is regarded as essential tool in many fields, including natural science, engineering, medicine, finance and social sciences. Branches of Mathematics include: algebra which are abstract algebra, modules, vector spa...
BACKGROUND OF THE STUDY
For some time, educational researchers have been examining the techniques by which individuals learn, a topic of significant interest to those working in higher education. This gave rise to the notion of learning styles, of which...
Background of the Study
Mathematics throughout the world is regarded as essential tool in many fields, including natural science, engineering, medicine, finance and social sciences. Branches of Mathematics include: algebra which are abstract algebra, mo...
EXCERPT FROM THE STUDY
The issue of mathematical anxiety has been a long age issues amongst students. Our findings has revealed that there are major causes of mathematics anxiety. The most prominent among them was identified by the students as teaching style of students. Learning is mor...
ABSTRACT: The impact of big data analytics on vocational training effectiveness is transformative, providing data-driven insights to enhance educational outcomes. This study aimed to evaluate how big data analytics improves the effectiveness of vocational training programs, identify the spec...
Background of the Study
Effective communication between teachers and students is a fundamental aspect of successful education, influencing learning outcomes, student engagement, and academic performance. Traditional teacher-student communication methods...
Background of the study
In recent years, the integration of artificial intelligence (AI) into educational technologies has transformed how students access and utilize academic resources. Digital library systems have become increasingly important in universities, offering s...
Background of the Study
E-learning has emerged as a transformative force in modern education, providing students with flexible access to learning materials, courses, and assessments. The rapid integration of digital platforms into secondary and higher e...
Background of the Study
The integration of Artificial Intelligence (AI) and Machine Learning (ML) in education has transformed how student performance is assessed and predicted. ML algorithms analyze historical student data, identify learning patterns,...
Background of the Study
The rapid advancement of technology has revolutionized education, with Artificial Intelligence (AI) playing a crucial role in personalized learning. Personalized learning is an instructional approach that tailors educational cont...
Background of the Study
Student motivation is a key factor that influences academic achievement and engagement. In secondary schools, particularly in Damaturu Local Government Area, Yobe State, many students struggle with low motivation and face challenges in keeping up...
Background of the Study
In the rapidly evolving field of education, AI-powered recommendation systems have gained prominence for their ability to personalize learning experiences. These systems use algorithms to analyze students' behaviors, learning patterns, and pr...
Background of the study
Machine learning (ML) techniques have proven effective in various sectors, including education, where they are applied to predict student performance, identify learning patterns, and improve academic outcomes. In Sokoto North LGA, Sokoto State, schools face chall...
Background of the study
Machine learning (ML) techniques have proven effective in various sectors, including education, where they are applied to predict student performance, identify learning patterns, and improve academic outcomes. In Sokoto North LGA, Sokoto State, schools face chall...
Background of the Study
In modern educational settings, the increasing diversity of student interests and learning styles requires more personalized approaches to academic advising and course selection. Traditional methods of course selection in institutions like Taraba State Polytechni...
Background of the Study
Adaptive learning is an educational technology that personalizes the learning experience based on individual student needs, learning styles, and performance. By using data analytics and AI algorithms, adaptive learning systems can tailor learning materials and ac...
Background of the Study
The integration of Artificial Intelligence (AI) in education is rapidly transforming traditional academic models, offering opportunities to enhance student learning and improve academic performance. AI-based academic performance improvement models u...
Background of the Study
As education continues to evolve in the digital age, the need for personalized learning experiences has become more evident. Traditional classroom settings often fail to cater to the diverse learning needs of students, leading to disparities in academic performance....
Background of the Study
Email communication plays a crucial role in daily operations within universities, including Usmanu Danfodiyo University, Sokoto. However, the increasing volume of unsolicited and malicious emails (spam) presents a significant challenge to both unive...
Background of the Study
Automated grading systems have become an essential tool in modern education, particularly in universities, as they can significantly reduce the time and effort required for grading assessments. Kano State University of Science and Technology (KSUST)...
Background of the Study
Personalized learning is an educational approach that tailors instruction to meet individual students’ needs, abilities, and learning styles. In secondary schools across Nigeria, there is a growing interest in employing technology to improv...
Background of the Study
Personalized education is increasingly seen as a critical component in enhancing student learning outcomes and success. Traditional one-size-fits-all approaches in university education often fail to address the individual needs, preferences, and lea...
Background of the Study
Machine learning (ML) techniques have been widely used in educational institutions to analyze and predict students’ academic performance. However, traditional machine learning models are often limited in their ability to handle the complex, hi...
Background of the Study
Disease-associated mutations are critical markers for understanding the etiology and progression of various genetic disorders. At the University of Abuja, FCT, researchers are analyzing bioinformatics approaches aimed at predicting mutations that a...
Background of the study
Virtual laboratories have emerged as a transformative tool in the field of computer science education, offering an interactive, cost-effective, and scalable alternative to conventional physical labs. At Modibbo Adama University, practical sessions...
Background of the Study
Artificial intelligence (AI) is increasingly being integrated into educational systems to provide personalized learning experiences. In Abuja, FCT, the development of AI-based virtual tutors for science learning is being explored as a means to addr...
Background of the Study
The rapid growth of digital data in education has opened new avenues for improving academic performance through big data analytics. In secondary schools within Gombe Local Government, Gombe State, educators are increasingly recognizing the potentia...
Background of the Study
Adaptive learning technologies have emerged as innovative educational tools that customize instructional content to meet individual learner needs, thereby enhancing comprehension and retention. In secondary schools in Maiduguri Central LGA, Borno State, the integ...
Background of the Study
The integration of artificial intelligence (AI) in educational settings is revolutionizing teaching and learning processes by enabling personalized learning experiences. In secondary schools in Kaduna East LGA, Kaduna State, AI-driven applications...