The Use of AI-Powered Platforms in the Bachelor Thesis Writing Process: Benefits and Limitations

James Alexander Gordon on 27th January 2025



Author Information

Nato Pachuashvili, International Black Sea University, Georgia

Abstract

The increasing use of Artificial Intelligence (AI) has revolutionised and transformed the entire educational system, including academia. AI-powered platforms have enhanced research processes and provided valuable support from finding sources to data analysis. The integration of AI in thesis writing has also assisted researchers at various stages of research since AI tools have accelerated the process, offering efficiency and accuracy. Furthermore, AI-driven platforms have offered the opportunity to generate citations and provide assistance with brainstorming ideas and narrowing down research questions. The aim of the present paper is to investigate the use of AI-powered platforms in the bachelor thesis writing process among year four graduating students at a private university in Georgia. To explore the application of AI tools in the research process, an online questionnaire was distributed to 30 participants. The survey focused on the benefits and limitations of utilising AI platforms in the thesis writing process. The findings of the study identified supportive AI-assisted platforms in academic writing, as well as addressed the challenges AI platforms may pose. Drawing on the research findings, the paper provided invaluable insights into effectively leveraging AI platforms to enhance the quality of research while adhering to the principles of academic integrity.


Paper Information

Conference: PCE2025
Stream: Higher education

This paper is part of the PCE2025 Conference Proceedings (View)
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To cite this article:
Pachuashvili N. (2025) The Use of AI-Powered Platforms in the Bachelor Thesis Writing Process: Benefits and Limitations ISSN: 2758-0962 The Paris Conference on Education 2025: Official Conference Proceedings (pp. 475-489) https://doi.org/10.22492/issn.2758-0962.2025.37
To link to this article: https://doi.org/10.22492/issn.2758-0962.2025.37

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