DEVELOPING ACADEMIC INTEGRITY AND WRITTEN COMMUNICATION THROUGH CHATGPT-TYPE GENERATIVE MODELS

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Authors: Ozodakhon Elmurod qizi Izzatillaeva
Cited by: 0

Abstract

The rapid development of generative artificial intelligence, especially language models such as ChatGPT, has created new opportunities and challenges for higher education. On the one hand, these tools can help students improve their academic writing by supporting idea development, language accuracy, and text organization. On the other hand, their use has raised serious concerns related to academic integrity, including plagiarism, authorship, and the misuse of automatically generated texts. This article explores how ChatGPT-type generative models can contribute to the development of academic integrity and students’ written communication skills when used in a transparent and pedagogically guided way. The study is based on a qualitative analysis of existing academic literature and focuses on theoretical discussions rather than empirical data. The findings suggest that generative AI does not necessarily weaken academic honesty; instead, when integrated responsibly, it can support ethical awareness, reflective writing practices, and gradual improvement of academic writing skills. The article argues for a balanced approach that combines clear ethical guidelines, AI literacy, and instructional support.

Fields of Study & Subjects

Academic integrity and plagiarism Artificial Intelligence in Education Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026