Design of an Adaptive Learning Management System Using Artificial Intelligence: A Case Study of Federal University, Wukari (Wukari LGA, Taraba State)
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
The rapid advancements in technology have transformed the landscape of education, with learning management systems (LMS) playing a central role in facilitating the delivery of educational content. However, traditional LMS platforms are often static and fail to cater to the diverse learning needs of individual students. To address this gap, adaptive learning management systems (ALMS) are being developed to personalize the learning experience for each student based on their unique learning styles, progress, and performance. By incorporating artificial intelligence (AI), ALMS can intelligently adapt course content, assessments, and feedback to suit the individual needs of students. This study focuses on the design and development of an AI-powered adaptive learning management system at Federal University, Wukari, which aims to improve student engagement, enhance learning outcomes, and provide personalized educational experiences.
Statement of the Problem
At Federal University, Wukari, the existing LMS lacks the capability to adapt to the individual learning needs of students. This leads to challenges such as disengagement, high dropout rates, and poor academic performance among students who struggle to keep pace with the curriculum. An adaptive learning management system powered by AI has the potential to address these issues by providing personalized learning paths for each student. However, the design, development, and implementation of such a system in the university context have not been fully explored.
Objectives of the Study
- To design and develop an AI-based adaptive learning management system for Federal University, Wukari.
- To evaluate the effectiveness of the adaptive learning management system in improving student engagement and academic performance.
- To recommend strategies for optimizing the use of AI in adaptive learning management systems.
Research Questions
- How can AI-based adaptive learning management systems enhance the learning experience at Federal University, Wukari?
- What is the impact of an adaptive learning management system on student engagement and academic performance?
- What challenges exist in implementing an AI-based adaptive learning management system at the university?
Research Hypotheses
- The AI-based adaptive learning management system will improve student engagement and academic performance at Federal University, Wukari.
- The adaptive learning system will face challenges related to student acceptance, system integration, and content personalization.
- AI-based adaptive learning systems will outperform traditional LMS platforms in terms of student satisfaction and academic outcomes.
Significance of the Study
The findings of this study will provide valuable insights into the potential of AI-powered adaptive learning management systems in higher education. The research will benefit Federal University, Wukari by offering a solution to enhance the learning experience for students, promote personalized learning, and improve academic success. Additionally, the study will contribute to the broader field of educational technology, demonstrating the effectiveness of AI in adapting educational content to individual student needs.
Scope and Limitations of the Study
This study will focus on the design, development, and evaluation of an AI-powered adaptive learning management system at Federal University, Wukari (Wukari LGA, Taraba State). The study will involve a select group of students and faculty members to assess the system’s effectiveness. Limitations of the study include the scalability of the system, the availability of training data, and the readiness of faculty and students to adopt the new technology.
Definitions of Terms
Adaptive Learning Management System: An LMS that uses AI to customize learning materials and assessments based on a student’s performance and learning preferences.
Artificial Intelligence (AI): The simulation of human intelligence in machines that can perform tasks such as learning, problem-solving, and decision-making.
Learning Management System (LMS): A software platform that facilitates the administration, delivery, and tracking of educational content and activities.
Student Engagement: The level of attention, interest, and participation a student exhibits in the learning process.
Related Project Materials
The Effect of Cost Accounting Techniques on Operational Efficiency in Nigerian SMEs: A Study of SMEs in Rivers State
Background of the Study
Cost accounting techniques are critical tools for enhancing operational efficiency in SMEs. These t...
The Role of Corporate Communication in Managing Organizational Reputation: A Study of Ningi Local Government Area, Bauchi State
Chapter One: Introduction
1.1 Background of the Study
Organizational reputation is a valuable as...
EFFECT OF POPULATION GROWTH ON UNEMPLOYMENT IN NIGERIAN ECONOMY
ABSTRACT
This thesis examines the effect of population growth on unemployment in Nigeria using Autoregressive Distributed Lag Bounds (ARD...
THE DISTORTED IMAGES OF AFRICAN CONTINENT: A HEIDEGGERIAN INTERPRETATION
ABSTRACT
This study was carried out on the distorted images of African continent: a Heideggerian in...
An Assessment of the Challenges Affecting Nurse Practitioners’ Autonomy in Healthcare Decision-Making in Plateau State
Background of the Study
Nurse practitioners (NPs) have emerged as key healthcare providers globally, particularly in resource-limited set...
An evaluation of gender biases in traditional leadership structures in Ogba/Egbema/Ndoni Local Government Area, Rivers State
Background of the Study
This evaluation examines gender biases in traditional leadership structures in Ogba/Egbema/Ndoni L...
INSURANCE UNDER NIGERIAN STATUTES: THE ISLAMIC LAW ALTERNATIVE
ABSTRACT
Insurance scheme is put in place to fall back on in the event of risk or calamity occurrence. Nigerian Statutes require that eve...
An Investigation of Strategic Resource Allocation and Business Efficiency: A Case Study of Hospitals in Katsina State
Background of the Study
Strategic resource allocation is essential for optimizing busi...
The Effectiveness of Government Accounting in Reducing Leakages in Nigerian Subsidy Programs: A Case Study of Fertilizer Subsidies
Background of the Study
Subsidy programs are critical tools for supporting economic development and imp...
THE IMPACT OF PARENTS SOCIO-ECONOMIC STATUS ON THE ACADEMIC PERFORMANCE OF SECONDARY SCHOOL BIOLOGY STUDENT
ABSTRACT
This study was undertaken to test the impact of parent’s socio-economic status on academic performance of...
