Evaluation of AI-Based Plagiarism Detection Systems for University Research Papers in Federal Polytechnic Bauchi, Bauchi State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Academic integrity is a cornerstone of scholarly research, and plagiarism undermines the credibility of academic outputs. At Federal Polytechnic Bauchi, Bauchi State, the evaluation of AI-based plagiarism detection systems is critical for maintaining the quality and originality of university research papers. Traditional plagiarism detection methods, which often involve manual review or basic software, may not be sufficient to detect sophisticated forms of plagiarism in large volumes of text (Salihu, 2023). AI-based systems, however, employ advanced natural language processing and machine learning algorithms to compare submitted documents against extensive databases, identifying similarities and potential cases of academic misconduct with higher accuracy (Ibrahim, 2024).
These systems can analyze stylistic patterns, contextual similarities, and semantic equivalences, thereby providing a more comprehensive and reliable assessment of academic integrity. The continuous improvement of AI algorithms through machine learning further enhances their detection capabilities, ensuring that they remain up-to-date with emerging plagiarism tactics (Adebayo, 2025). Despite these advancements, challenges such as false positives, data privacy issues, and the transparency of algorithmic decision-making persist. The effectiveness of AI-based plagiarism detection systems must be evaluated not only in terms of accuracy but also in how they integrate into the academic review process without compromising the trust of students and faculty. This study aims to assess the performance of various AI-based plagiarism detection systems at Federal Polytechnic Bauchi by comparing them with traditional methods and analyzing their strengths and limitations in ensuring research integrity (Salihu, 2023; Ibrahim, 2024; Adebayo, 2025).
Statement of the Problem
Federal Polytechnic Bauchi is currently challenged by the limitations of traditional plagiarism detection systems that are inadequate for the rigorous demands of modern academic research. These methods often fail to detect sophisticated cases of plagiarism, leading to potential breaches of academic integrity and devaluation of scholarly work (Salihu, 2023). Additionally, the manual review process is time-consuming and inconsistent, placing an undue burden on academic staff. Although AI-based plagiarism detection systems offer a promising solution with improved accuracy and efficiency, their implementation faces several obstacles. Issues such as algorithmic transparency, the potential for false positives, and concerns about data privacy and confidentiality have resulted in hesitation among educators regarding their adoption (Ibrahim, 2024). Furthermore, the integration of these systems into the existing academic framework is hindered by technical challenges and a lack of comprehensive training for users. These factors collectively contribute to an environment where the reliability and fairness of plagiarism detection are compromised. This study aims to address these challenges by evaluating the effectiveness of AI-based systems in detecting plagiarism, identifying the underlying issues, and recommending improvements to enhance the overall integrity of academic research at Federal Polytechnic Bauchi (Adebayo, 2025).
Objectives of the Study:
- To evaluate the accuracy and reliability of AI-based plagiarism detection systems.
- To compare AI-based systems with traditional detection methods.
- To propose strategies for improving system transparency and reducing false positives.
Research Questions:
- How effective are AI-based systems in detecting plagiarism in university research papers?
- What are the primary challenges associated with their implementation?
- What improvements can be made to enhance their accuracy and transparency?
Significance of the Study
This study is significant as it assesses the effectiveness of AI-based plagiarism detection systems in ensuring academic integrity at Federal Polytechnic Bauchi. By identifying the challenges and proposing actionable improvements, the research will support higher standards of research ethics and contribute to a more trustworthy academic environment (Salihu, 2023).
Scope and Limitations of the Study:
This study is limited to evaluating AI-based plagiarism detection systems for university research papers at Federal Polytechnic Bauchi, Bauchi State, and does not extend to other forms of academic misconduct or institutions.
Definitions of Terms:
- AI-Based Plagiarism Detection: The use of artificial intelligence to identify similarities and potential plagiarism in academic texts (Ibrahim, 2024).
- Plagiarism: The act of using someone else's work or ideas without proper attribution (Salihu, 2023).
- False Positives: Incorrect identification of plagiarism where none exists (Adebayo, 2025).
Related Project Materials
An evaluation of the influence of cultural exchange festivals on international perceptions: Evidence from Lagos State
Background of the study
Cultural exchange festivals serve as vibrant platforms for showcasing a region’s artistic...
An appraisal of adult education in fostering a culture of environmental conservation in Wukari Local Government Area, Taraba State.
Background of the Study
Adult education is widely acknowledged as a transformative tool for personal and societal developm...
EFFECTS OF LABORATORY EXERCISES ON SCIENCE SECONDARY SCHOOL STUDENTS’ PERFORMANCE IN CHEMISTRY
ABSTRACT
This research work investigated the effects of laboratory exercises on science secondary school students&rsquo...
An Appraisal of Nurses' Knowledge of Surgical Site Infection Prevention in Yobe State Specialist Hospital
Background of the Study
Surgical Site Infections (SSIs) are among the most common healthcare-associat...
An Investigation of Nurses’ Role in Preventing Cholera Outbreaks in Flood-Prone Areas of Benue State
Background of the Study
Cholera remains a persistent public health challenge in Nigeria, with recurre...
The Effect of Website Usability on Customer Retention in E-Commerce: A Case Study of Online Retailers in Katsina State
Background of the Study
Website usability refers to how easy and intuitive it is for c...
Design and Implementation of IoT‐Based Smart Disaster Recovery Solutions for School Buildings in Gombe LGA, Gombe State
Background of the study
School buildings in Gombe LGA are vulnerable to natural disasters and unforeseen emergencies that...
An examination of digital storytelling techniques on customer evaluation of product excellence: Evidence from a luxury goods brand in Port Harcourt, Nigeria
Background of the study
Digital storytelling techniques have transformed how luxury goods brands communicate their value...
The Effect of Conflict Management Strategies on Political Stability in Kauru LGA, Kaduna State: A Case Study of Community Peace Initiatives
Chapter One: Introduction
1.1 Background of the Study
Conflict is an inherent challenge in any s...
A Review of the Role of Augmented Reality in Improving Retail Shopping Experiences: A Study of Fashion Retailers in Plateau State
Background of the Study
Augmented Reality (AR) has gained significant attention in the...
