Evaluation of the Effectiveness of AI-Based Academic Advising Systems: A Case Study of University of Jos (Jos North LGA, Plateau State)
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Academic advising plays a crucial role in guiding students through their academic journey, helping them make informed decisions regarding course selection, career planning, and meeting graduation requirements. At the University of Jos, academic advising is traditionally done manually by faculty members or academic advisors, but this system has its limitations, such as overburdened advisors, inconsistent advice, and potential errors in course selection. With advancements in artificial intelligence (AI), universities are increasingly adopting AI-based academic advising systems that leverage machine learning algorithms to provide personalized, real-time guidance to students. These AI systems use historical academic data, student preferences, and performance metrics to recommend suitable courses and academic paths for each student. This study evaluates the effectiveness of AI-based academic advising systems at the University of Jos, focusing on their impact on student satisfaction, academic performance, and the efficiency of the advising process.
Statement of the Problem
Manual academic advising systems at the University of Jos have shown limitations in terms of scalability, consistency, and timeliness. Students often face challenges in receiving timely and personalized advice, which may lead to poor course selection and delays in graduation. AI-based advising systems have the potential to address these challenges by offering real-time, data-driven recommendations that align with students' academic goals. However, there are concerns regarding the adoption of AI systems, including their effectiveness, user acceptance, and potential for bias in recommendations. This study seeks to evaluate the impact and effectiveness of AI-based academic advising systems at the University of Jos.
Objectives of the Study
- To evaluate the effectiveness of AI-based academic advising systems in improving student satisfaction and academic performance at the University of Jos.
- To assess the challenges faced by students and advisors in adopting AI-based advising systems.
- To recommend strategies for improving the AI-based academic advising system at the University of Jos.
Research Questions
- How effective is the AI-based academic advising system in enhancing student satisfaction and academic success?
- What challenges do students and advisors encounter in using the AI-based advising system?
- How can the AI-based academic advising system be optimized for better user experience and effectiveness?
Research Hypotheses
- The AI-based academic advising system will lead to higher levels of student satisfaction and better academic performance compared to traditional advising methods.
- Students and academic advisors will face challenges in adapting to the AI-based advising system, including a lack of trust and understanding of the technology.
- Implementing improvements in the AI advising system will significantly enhance its effectiveness in providing personalized and accurate academic advice.
Significance of the Study
This study will contribute to the knowledge of AI applications in higher education, specifically in academic advising. The findings can help the University of Jos improve its advising process, optimize resource allocation, and ensure that students receive accurate and timely academic guidance. The study will also offer valuable insights into how AI can be integrated into other areas of university administration.
Scope and Limitations of the Study
The study will focus on the evaluation of AI-based academic advising systems at the University of Jos (Jos North LGA, Plateau State). The scope will be limited to assessing student satisfaction, academic performance, and the adoption of the system. Limitations include potential biases in data collection and resistance to technology adoption.
Definitions of Terms
AI-Based Advising System: A system that uses artificial intelligence to provide academic guidance and recommendations to students.
Academic Advising: The process of providing students with advice and guidance on course selection, career planning, and academic progression.
Machine Learning: A type of artificial intelligence that enables systems to learn from data and improve performance over time.
Personalized Recommendations: Tailored suggestions provided to students based on their individual academic needs and goals.
Related Project Materials
THE ROLE OF TAX ACCOUNTING IN TAX-EFFICIENT SUPPLY CHAIN MANAGEMENT
Abstract: THE ROLE OF TAX ACCOUNTING IN TAX-EFFICIENT SUPPLY CHAIN MANAGEMENT
This study examines the role of tax accoun...
THE IMPACT OF ACCOUNTING FOR FUND EXPENSES AND FEE STRUCTURES
Abstract: THE IMPACT OF ACCOUNTING FOR FUND EXPENSES AND FEE STRUCTURES
This study aims to: (1) analyze the impact of fund expenses on ov...
An Investigation of Industrial Pollution and Community Health in Benue State
Background of the Study
Industrial pollution, resulting from the emissions of hazardous chemicals and...
EVALUATION OF PERSONNEL MANAGEMENT PROBLEMS AND ITS EFFECT ON EMPLOYEE PERFORMANCE AND PRODUCTIVITY
Background of the study
The most valuable aspect of civilization is management, which serves as the organization's c...
An assessment of the effectiveness of informal education in improving vocational skills among primary school students in Mubi North Local Government Area, Adamawa State
Background of the Study
In today’s rapidly changing economic environment, vocational skills have become increasingly...
The impact of economic uncertainty on investment banking performance: a case study of Stanbic IBTC Bank.
Background of the Study
Economic uncertainty—characterized by unpredictable fluctuations in global markets, inflationary pressures,...
ROLE OF MOBILE MONEY IN ENHANCING BUSINESS PERFORMANCE
Background to the study
Businesses, which involve individuals, groups of individuals, companies or corp...
The Role of Digital Media in Mitigating Flood Risks in Yola South Local Government Area, Adamawa State
Chapter One: Introduction
An assessment of trade imbalances’ economic impact in Nigeria: Evidence from the Ministry of Trade (2000–2020)
Background of the Study :
Trade imbalances reflect the gap between a country’s imports and exports and are critical in understandin...
EVALUATION OF LAGOS STATE PRIMARY PUPILS' ATTITUDE AND MOTIVATION FOR LEARNING ISLAMIC RELIGIOUS STUDIES
Background of the study
Islamic Studies revolves around learning about Islam and its creeds. The...
