Generative AI-Enabled Chatbot for Navigating Academic Integrity Policies

Gonzalez Penaloza, Claudio Andres (2024) Generative AI-Enabled Chatbot for Navigating Academic Integrity Policies. Masters thesis, Dublin, National College of Ireland.

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Abstract

The recent COVID-19 disruption and the rise of Generative Artificial Intelligence models, particularly ChatGPT and similar tools, have presented a unique challenge to academic integrity in higher education. This study investigates the effectiveness of some GenAI models, consisting of Chatbots fine-tuned and trained on National and Institutional regulations. The reference text is compared with the model’s answers using semantic text measurements. Finally, a recommendation is made for the most suitable one for implementing an automated pre-work module to enhance students’ understanding of academic integrity policies. These experiments’ stages include deploying six fine-tuned LLMs and post-test scores using Rouge, Pearson Rank Correlation, Cosine, Jaccard similarities, Bert, Doc2Vec, Sbert, and Infersenct scores. This study recommends a way to improve our understanding of academic integrity in the age of GenAI and contribute to developing practical strategies for mitigating academic misconduct and fostering an ethical learning culture.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Onwuegbuche, Faithful UNSPECIFIED
Uncontrolled Keywords:	Generative AI; Academic Integrity; Chatbot; Plagiarism; LLMs
Subjects:	L Education > LB Theory and practice of education > LB2300 Higher Education Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HM Sociology > Information Science > Communication
Divisions:	School of Computing > Master of Science in Artificial Intelligence for Business
Depositing User:	Ciara O'Brien
Date Deposited:	02 Jul 2025 14:27
Last Modified:	02 Jul 2025 14:27
URI:	https://norma.ncirl.ie/id/eprint/7985

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