THE ROLE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN IMPROVING UNIVERSITY STUDENTS’ LEARNING PERFORMANCE
Abstract
Generative Artificial Intelligence has become one of the most influential technological innovations in modern education. The rapid development of intelligent systems such as ChatGPT, Gemini, Claude, and Microsoft Copilot has transformed the traditional learning environment by providing students with instant access to knowledge, personalized explanations, programming assistance, and academic writing support. Universities around the world are increasingly integrating artificial intelligence into educational activities to improve learning effectiveness and student engagement. However, the widespread use of these technologies has also raised concerns regarding academic integrity, overreliance on AI-generated content, and the development of critical thinking skills.
This paper examines the role of generative artificial intelligence in improving university students' learning performance. The study discusses the advantages and limitations of AI-assisted learning, analyzes its impact on academic achievement, programming education, research activities, and independent learning, and explores the challenges associated with responsible AI use in higher education. The findings indicate that generative AI significantly enhances students’ productivity, accelerates problem-solving processes, and supports personalized education when used ethically and under appropriate academic guidance. The paper concludes that artificial intelligence should be considered a complementary educational tool rather than a replacement for human learning, creativity, and critical reasoning.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
By submitting a paper to the conference organized by Academic Publishing House, the author(s) agree to the following license terms and conditions:
1. Copyright and Licensing
-
The author(s) retain the copyright of their article.
-
The author(s) grant Academic Publishing House a non-exclusive license to publish, distribute, and archive the submitted material in both electronic and print formats.
-
The work will be published under the Creative Commons Attribution (CC BY 4.0) license, allowing others to share and adapt the material for any purpose, provided proper credit is given to the original author(s).
2. Author’s Responsibilities
-
The author(s) guarantee that the submitted work is original, does not infringe any existing copyrights, and has not been published or submitted elsewhere.
-
The author(s) confirm that all co-authors have approved the final version of the manuscript and agree with its submission and publication.
-
The author(s) are fully responsible for the accuracy of the data, citations, and references provided in the article.
3. Publisher’s Rights
-
Academic Publishing House reserves the right to edit, format, and make minor grammatical or layout corrections to the paper without altering its core content.
-
The publisher has the right to include the article in indexing databases, archives, and repositories such as Google Scholar, Zenodo, OpenAIRE, and other partner platforms.
-
The publisher may promote the paper through its website and official social media channels.
4. Open Access Policy
All conference papers are published as open access, ensuring free and permanent online access to the full text of all articles immediately upon publication.
5. Withdrawal and Retraction
If ethical misconduct, plagiarism, or data manipulation is detected, Academic Publishing House reserves the right to withdraw or retract the publication at any stage.
6. Acceptance of Terms
Submission of a manuscript to the conference implies that the author(s) have read, understood, and accepted these License Terms.