Optimization of Student Course Registration Process Using AI-Based Recommendation Systems: A Case Study of Federal Polytechnic, Idah (Idah LGA, Kogi State)
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
The process of student course registration has evolved significantly in recent years, with increasing demand for more efficient systems to accommodate the growing number of students in academic institutions. Traditionally, course registration has been a tedious and time-consuming task for students, requiring them to manually choose and register for courses. This process often leads to registration errors, course conflicts, and student dissatisfaction. As institutions move toward digital solutions, the implementation of Artificial Intelligence (AI)-based systems offers a potential solution to improve the registration process. AI recommendation systems, which use algorithms to analyze data and make predictions, could help streamline the course selection process by suggesting courses based on students' academic history, interests, and performance.
At Federal Polytechnic, Idah, students face challenges such as course overload, inadequate system capacity, and inefficient course recommendations. An AI-based system could optimize the registration process by recommending courses that align with students' academic goals, available slots, and prerequisites. The need for efficient course registration systems is critical, particularly in large institutions where thousands of students are enrolled. This study aims to evaluate the potential of AI-based recommendation systems in improving the course registration experience for students at the Federal Polytechnic, Idah.
Statement of the Problem
Despite technological advancements in educational management systems, the course registration process at Federal Polytechnic, Idah, remains inefficient, leading to student dissatisfaction and administrative challenges. Many students struggle with manual course selection due to limited course offerings, scheduling conflicts, and the absence of personalized recommendations. Moreover, the existing registration system does not leverage data-driven techniques to optimize course selection, leading to suboptimal decisions. This creates an environment where students often face course overload or miss out on essential courses. The absence of an AI-powered system to automate and optimize the registration process exacerbates these issues. Therefore, the problem lies in the inability of the current course registration system to adapt to the needs of the students, which impacts their academic progress and overall experience.
Objectives of the Study
1. To develop an AI-based recommendation system to optimize the course registration process for students at Federal Polytechnic, Idah.
2. To assess the effectiveness of the AI-based system in improving the accuracy and efficiency of course registration.
3. To evaluate student satisfaction with the AI-based course registration system compared to the traditional registration process.
Research Questions
1. How can an AI-based recommendation system improve the course registration process at Federal Polytechnic, Idah?
2. What is the impact of an AI-based recommendation system on course selection accuracy and efficiency?
3. How do students perceive the use of AI in the course registration process at Federal Polytechnic, Idah?
Research Hypotheses
1. An AI-based recommendation system will significantly improve the efficiency of course registration at Federal Polytechnic, Idah.
2. There will be a positive relationship between the use of AI-based recommendations and the accuracy of course selection.
3. Students will have a higher level of satisfaction with the AI-based course registration system compared to the traditional method.
Significance of the Study
This study will contribute to the improvement of course registration processes in academic institutions, especially within Federal Polytechnic, Idah. By utilizing AI technology, the research aims to enhance operational efficiency, reduce student frustrations, and ensure better course allocation. This study will be valuable for academic administrators seeking to adopt data-driven systems for student registration and could serve as a model for other institutions in Nigeria and beyond.
Scope and Limitations of the Study
This study will focus on the optimization of the student course registration process at Federal Polytechnic, Idah, located in Idah LGA, Kogi State. The system to be developed will focus on using AI-based recommendation techniques to enhance the efficiency and accuracy of course registration. The study will be limited to students of the institution, specifically examining their experiences and perceptions of the system. The scope does not extend to other institutions or include any longitudinal data collection beyond the immediate evaluation of the new system.
Definitions of Terms
• AI-based Recommendation System: A system that utilizes artificial intelligence algorithms to suggest relevant courses to students based on their academic profiles and preferences.
• Course Registration: The process by which students enroll in courses for a given academic session.
• Optimization: The act of making a process more efficient by utilizing data and technology to reduce errors and time consumption.
• Efficiency: The ability of a system to deliver the desired outcomes with minimal resources or time.
Related Project Materials
THE EFFECT OF EMPLOYEES JOB STRESS ON ORGANISATIONAL PERFORMANCE (A CASE STUDY OF UNITY BANK AUCHI BRANCH, EDO STATE)
BACKGROUND OF THE STUDY
According to Abolade (2018), the idea of stress is one that is multifaceted and...
THE ROLE OF PUBLIC RELATION IN BUILDING CORPORATE IMAGE
Abstract
This study discussed the role of public relations in building corporate image (A study of Dangote group of...
THE EFFECT OF MANPOWER TRAINING ON ORGANIZATIONAL DEVELOPMENT
ABSTRACT
This research work is to find out the effects of manpower training on organizational development. The evolution...
An assessment of environmental branding on customer retention: A case study of an organic cosmetics brand in Kaduna, Nigeria
Background of the study
Environmental branding integrates sustainable practices and eco-friendly messaging into a brand&rs...
THE EFFECT OF CLASSROOM MANAGEMENT ON THE ACADEMIC ACHIEVEMENT OF PUPILS IN PRIMARY SCHOOLS
STATEMENT OF THE PROBLEM
Classroom management is the heart of any educational system. No curriculum Planning is complete...
An Appraisal of Nurses’ Adherence to Ethical Standards in Psychiatric Nursing Practice in Katsina State
Background of the Study
Psychiatric nursing practice is guided by ethical standards that ensure the rights, dignity, and well-being of pa...
Evaluation of the Use of Smart Classroom Technologies in Secondary Schools in Gusau Local Government Area, Zamfara State
Background of the Study
The integration of smart classroom technologies into education has transformed...
The influence of school sports participation on students' ethical values in Dutse Local Government Area, Jigawa State
Background of the Study
School sports participation has long been recognized as a vehicle for instilling ethical values in students. In D...
The role of sports participation in enhancing students' emotional intelligence in Birnin Kebbi Local Government Area, Kebbi State
Background of the Study
Emotional intelligence (EI) is increasingly recognized as a vital skill for personal development and social inter...
An Assessment of Community Participation in Public Project Implementation in Wurno Local Government Area, Sokoto State
Chapter One: Introduction
1.1 Background of the Study
Commu...
