AI-ASSISTED

THE EFFECTIVENESS OF AI-ASSISTED RESEARCH COMPARED TO TRADITIONAL METHODS: A STUDY OF UNIBEN STUDENTS.

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Year of Publication
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Abstract
This study set out to explore The Effectiveness of Ai-Assisted Research Compared to Traditional Methods: A Study of UNIBEN Students, especially when compared to more traditional research methods. As tools like ChatGPT, Grammarly, and Quillbot become increasingly popular, it was important to understand how students are using them, what they find helpful, and what concerns they might have. Using a survey of 402 undergraduate students across different faculties, the study found that most students are not only aware of AI tools but also actively use them to make research faster, easier, and more accurate. Many students appreciated the convenience of AI, highlighting benefits like better grammar, faster content generation, and easier access to information. However, there were also shared concerns some students worried about over dependence, reduced originality, and the ethical implications of relying too much on AI. Interestingly, while around 68% of the students preferred using AI tools for research, others still valued traditional methods, especially for tasks that require deep thinking, proper citations, and personal analysis. These findings reflect a wider conversation in academia: AI is helpful, but it shouldn't replace human insight, critical thinking, or academic honesty. In conclusion, the study suggests that AI tools should be embraced—but with caution. Institutions should provide guidance on responsible usage, introduce AI literacy into the curriculum, and help students learn how to balance innovation with integrity. This research adds to our understanding of how Nigerian students view AI in education and offers practical steps for using these tools wisely and effectively.
Supervisor(s)
co-supervisor

THE EFFECTIVENESS OF AI-ASSISTED RESEARCH COMPARED TO TRADITIONAL METHODS: A STUDY OF UNIBEN STUDENTS.

Author(s)
Year of Publication
Publication Type
Abstract
This study set out to explore The Effectiveness of Ai-Assisted Research Compared to Traditional Methods: A Study of UNIBEN Students, especially when compared to more traditional research methods. As tools like ChatGPT, Grammarly, and Quillbot become increasingly popular, it was important to understand how students are using them, what they find helpful, and what concerns they might have. Using a survey of 402 undergraduate students across different faculties, the study found that most students are not only aware of AI tools but also actively use them to make research faster, easier, and more accurate. Many students appreciated the convenience of AI, highlighting benefits like better grammar, faster content generation, and easier access to information. However, there were also shared concerns some students worried about over dependence, reduced originality, and the ethical implications of relying too much on AI. Interestingly, while around 68% of the students preferred using AI tools for research, others still valued traditional methods, especially for tasks that require deep thinking, proper citations, and personal analysis. These findings reflect a wider conversation in academia: AI is helpful, but it shouldn't replace human insight, critical thinking, or academic honesty. In conclusion, the study suggests that AI tools should be embraced—but with caution. Institutions should provide guidance on responsible usage, introduce AI literacy into the curriculum, and help students learn how to balance innovation with integrity. This research adds to our understanding of how Nigerian students view AI in education and offers practical steps for using these tools wisely and effectively
Supervisor(s)
co-supervisor

SMARTLMS- A ROLEBASEDAI-ASSISTED LEARNING SYSTEM FOR STUDENTS AND LECTURERS

Year of Publication
Publication Type
Abstract
This project focused on the design and implementation of SmartLMS, an Artificial Intelligence assisted Learning Management System (LMS) developed to enhance digital teaching and learning in the University of Benin. The aim of the study was to create a flexible and user friendly platform that integrates AI features to support both lecturers and students in managing learning materials, assessments and performance analytics. The system was designed using Next.Js for the Frontend, Node.Js with the Express.Js framework for the Backend and MongoDB as the database, with JWT authentication to regulate signup and secured login to the platform, Cloudinary to handle and store uploaded materials and OpenAI and Gemini AI for AI-driven functionalities. The AI modules were implemented to help students with course materials summarization, self-practice test generation and keep track of students’ analytics. The system followed a modular design and was implemented to be responsive, reliable and accessible on both mobile and desktop devices. Results showed that SmartLMS improved teaching efficiency, student engagement and learning personalization while maintaining lecturer control over assessments, grading and students’ academic performance. The project concluded that SmartLMS provides a practical and scalable solution for integrating AI into education, offering a more interactive, intelligent and accessible learning experience that can be integrated into
different learning environments
Supervisor(s)
co-supervisor