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Integrating Large Language Models Into Web Design Study: AI-Assisted Code Optimization in Higher Education

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dc.contributor.authorKopishynska, O. P.
dc.contributor.authorUtkin, Y. V.
dc.contributor.authorSliusar, I. I.
dc.contributor.authorPysarenko, V. V.
dc.contributor.authorGalych, O. A.
dc.contributor.authorFlehantov, L. O.
dc.contributor.authorZahrebelna, I. L.
dc.contributor.authorPysarenko, S. V.
dc.contributor.authorКопішинська, Олена Петрівна
dc.contributor.authorУткін, Юрій Вікторович
dc.contributor.authorСлюсарь, Ігор Іванович
dc.contributor.authorПисаренко, Володимир Вікторович
dc.contributor.authorГалич, Олександр Анатолійович
dc.contributor.authorФлегантов, Леонід Олексійович
dc.contributor.authorЗагребельна, Ірина Леонідівна
dc.contributor.authorПисаренко, Світлана Валеріївна
dc.date.issued2025
dc.description.abstractThis 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.
dc.identifier.citationKopishynska, 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
dc.identifier.isbn978-1-950492-85-5 (Print)
dc.identifier.issn2771-0947
dc.identifier.uri. https://doi.org/10.54808/WMSCI2025.01.497
dc.identifier.urihttps://dspace.pdau.edu.ua/handle/123456789/20335
dc.language.isoen
dc.publisherInternational Institute of Informatics and Cybernetics
dc.subjectLLM
dc.subjectArtificial Intelligence
dc.subjectAI
dc.subjectChatGPT
dc.subjectCopilot
dc.subjectJavaScript
dc.subjectcode
dc.subjectwebsite
dc.subjectSEO optimization
dc.titleIntegrating Large Language Models Into Web Design Study: AI-Assisted Code Optimization in Higher Education
dc.typeArticle
dspace.entity.typePublication
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