Implementation of an AI-Based Adaptive Learning System in Kwali LGA, Federal Capital Territory (FCT)
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Background of the study
In recent years, the adoption of adaptive learning technologies powered by artificial intelligence (AI) has gained momentum within the educational sector. Adaptive learning systems leverage AI algorithms to tailor educational content and learning paths based on the individual needs and progress of each student. This personalized approach to learning can help address the diverse academic abilities present in a classroom, ensuring that students receive the appropriate level of challenge and support. In Kwali Local Government Area (LGA) of the Federal Capital Territory (FCT), educational institutions face challenges in providing personalized learning experiences due to resource limitations, overcrowded classrooms, and varying student abilities. The integration of an AI-based adaptive learning system offers a promising solution to enhance learning outcomes, improve engagement, and address the learning disparities in Kwali LGA. This study seeks to implement an AI-based adaptive learning system in schools within Kwali LGA to assess its effectiveness in improving student performance and learning engagement.
Statement of the problem
Despite efforts to improve education in Kwali LGA, challenges such as large class sizes, limited access to qualified teachers, and a lack of personalized learning opportunities continue to hinder academic performance. Traditional methods of instruction are often not flexible enough to accommodate students' varying learning needs, leading to disengagement and underperformance, particularly among students who are either advanced or struggling. Implementing an AI-based adaptive learning system can help address these issues by personalizing learning experiences, identifying gaps in knowledge, and providing real-time feedback. However, there is a lack of research on the effectiveness of such systems in the context of Kwali LGA, Federal Capital Territory.
Objectives of the study
1. To design and implement an AI-based adaptive learning system in schools within Kwali LGA, FCT.
2. To evaluate the impact of the adaptive learning system on student academic performance and engagement.
3. To explore students' and teachers' perceptions of the AI-based adaptive learning system.
Research questions
1. How effective is the AI-based adaptive learning system in improving student performance in Kwali LGA?
2. What impact does the AI-based system have on student engagement and motivation in Kwali LGA schools?
3. How do teachers and students perceive the use of an AI-based adaptive learning system?
Research hypotheses
1. The implementation of an AI-based adaptive learning system will significantly improve student performance in Kwali LGA schools.
2. The AI-based system will increase student engagement and motivation in the learning process.
3. Teachers and students will have positive perceptions of the AI-based adaptive learning system.
Significance of the study
This research will contribute to the understanding of how AI-based adaptive learning systems can be utilized to address educational challenges in resource-limited areas. The findings will offer insights into how technology can enhance learning experiences, improve academic outcomes, and promote greater educational equity in Kwali LGA.
Scope and limitations of the study
The study will focus on the implementation and evaluation of the AI-based adaptive learning system in primary and secondary schools within Kwali LGA, FCT. Limitations include challenges related to technology infrastructure, data privacy, and the adaptability of both students and teachers to the new learning system.
Definitions of terms
• Adaptive Learning System: A learning platform that uses AI algorithms to tailor content and learning paths to the individual needs of each student.
• AI (Artificial Intelligence): Technology that enables machines to simulate human-like cognitive functions such as learning, problem-solving, and decision-making.
• Personalized Learning: An educational approach that seeks to tailor learning experiences to the unique needs, skills, and interests of each student.
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