Publication: Integrating Large Language Models Into Web Design Study: AI-Assisted Code Optimization in Higher Education
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Date
2025
Authors
Kopishynska, O. P.
Utkin, Y. V.
Sliusar, I. I.
Pysarenko, V. V.
Galych, O. A.
Flehantov, L. O.
Zahrebelna, I. L.
Pysarenko, S. V.
Копішинська, Олена Петрівна
Уткін, Юрій Вікторович
Journal Title
Journal ISSN
Volume Title
Publisher
International Institute of Informatics and Cybernetics
Abstract
This study explores the potential and effectiveness of using large language models (LLM) of artificial intelligence (AI) based on GPT for enhancing, optimizing, and extending website code in during the development and technical auditing stages. The research is grounded in experiments conducted with commercial-purpose websites developed by university students. General characteristics and a list of essential elements and functions of the websites are provided; these sites were built using HTML, CSS, and JavaScript technologies, based on original projects and designs. Both ChatGPT and GitHub Copilot demonstrated high performance in completing the assigned tasks, with ChatGPT showing broader capabilities, especially in the role of a tutor. AI proved useful in analyzing website structure and design, offering suggestions for technical and SEO optimization, and proposing innovative solutions that significantly improved functionality. The findings support the integration of AI into the educational process for training specialists in programming and web design in higher education, positioning it as an additional tool for code development, optimization, and refactoring. Particular emphasis is placed on the importance of a critical approach to AI-generated recommendations and the ability to conduct productive dialogue.
Description
Keywords
LLM, Artificial Intelligence, AI, ChatGPT, Copilot, JavaScript, code, website, SEO optimization
Citation
Kopishynska, O., Utkin, Y., Sliusar, I., Pysarenko, V., Galych, O., Flehantov, L., Zahrebelna, I., Pysarenko, S. (2025). Integrating Large Language Models Into Web Design Study: AI-Assisted Code Optimization in Higher Education. In N. Callaos, E. Gaile-Sarkane, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 29th World Multi-Conference on Systemics, Cybernetics and Informatics: WMSCI 2025, pp. 497-504. International Institute of Informatics and Cybernetics. DOI: 10.54808/WMSCI2025.01.497