Use of customized GPT models for visual style analysis of images in the professional training of students majoring in «Publishing and printing»

Author(s) Collection number Pages Download abstract Download full text
Бобарчук О. А., Денисенко С. М., Гальченко С. М. № 1 (89) 33-45 Image Image

The article examines the implementation of artificial intelligence in the educational process with the aim of improving the professional training of future specialists in the publishing and printing industry. In particular, it considers the potential of artificial intelligence tools for developing analytical and critical thinking skills in students at the stage of forming skills in analyzing the visual and stylistic features of images, which is an integral part of their modern professional training. The wide range of possibilities offered by artificial intelligence requires students not only to master the skills of using such tools, but also to critically evaluate their results. Individualized artificial intelligence models are of particular interest. Individual GPT models are personalized models that are specially customized versions of the standard ChatGPT application. Such models have particular potential in education. First, because they can provide fully personalized learning that is both tailored to each student and accessible to many students at the same time. This is because teachers can fine-tune GPT models for specific educational tasks within a particular discipline, topic, or question. The teacher determines the educational content based on the specific learning situation and the unique needs and scenarios for its use. In this way, the individualized GPT becomes a kind of virtual personalized facilitator that individually accompanies each individual student within a specific course. The development of a personalized GPT chatbot involves six key stages (planning, data and resource collection, development of a personalized chatbot, testing its main functions and scenarios, implementation of the created chatbot, ensuring the functioning of the chatbot, and its development). Technical implementation is only one component of the development process; it is important to competently integrate the created personalized chatbot into the learning environment, combining it with other learning resources. Preliminary testing demonstrates the possible didactic potential of such a tool when used in the learning process.

Keywords: analytical skills, artificial intelligence, GPT model, professional training, information technology.

doi: 10.32403/0554-4866-2025-1-89-33-45


  • 1. People plus machines: The role of Artificial Intelligence in Publishing (2020). https://www.publishers.org.uk/wp-content/uploads/2020/10/People-plus-machines-The-role-of-Artificial-Intelligence-in-Publishing_FINAL.pdf.
  • 2. What will AI mean for the print industry in 2025? (2025). https://www.largeformatreview.com/blog/what-will-ai-mean-for-the-print-industry-in-2025/.
  • 3. U.S. Department of Education, Office of Educational Technology (2023). Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations, https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf.
  • 4. Haozhuo Lin, Qiu Chen (2024). Artificial intelligence (AI) -integrated educational applications and college students’ creativity and academic emotions: students and teachers’ perceptions and attitudes. BMC Psychol. https://doi.org/10.1186/s40359-024-01979-0.
  • 5. Aniella Mihaela Vieriu, Gabriel Petrea (2025). The Impact of Artificial Intelligence (AI) on Students’ Academic Development. Education Sciences, 15(3), 343. https://doi.org/10.3390/educsci15030343.
  • 6. Yoshija Walter (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21 (15). https://doi.org/10.1186/s41239-024-00448-3.
  • 7. Collins B., Black E.W., Rarey K. Introducing AnatomyGPT: A customized artificial in­tel­li­gence application for anatomical sciences education. Clinical Anatomy. 2024. №37(6). https://doi.org/10.1002/ca.24178.
  • 8. Mohammed Ahmed Hassanien. Six-step approach for developing customized GPT in medical education. Journal Of Advanced Pharmacy Education And Research. 2025. № 15(2):107-115. https://doi.org/10.51847/1GHL2Sws00.
  • 9. Juan David Salazar Rodriguez, Sam Conrad Joyce, Julfendi Julfendi. Using customized GPT to develop prompting proficiency in architectural AI-generated images. 2025. https://doi.org/10.48550/arXiv.2504.13948. URL: https://www.researchgate.net/publica­tion/390991130_ Using_customized_GPT_to_develop_prompting_proficiency_in_architectural_AI-generated_images.
  • 10. Ben Lutkevic. Custom GPTs: Examples and how to build. URL: https://www.techtarget.com/whatis/feature/Custom-GPTs-Examples-and-how-to-build.
  • 11. Vijay Govindarajan and Mahesh Sriram What Custom GPTs Unlock for Higher Ed. URL: https://hbsp.harvard.edu/inspiring-minds/what-custom-gpts-unlock-for-higher-ed.
  • 12. Zhovnirchyk L.I. Kastomizovanyi pomichnyk-asystent dlia vykladannia inzhenernykh dystsy-plin u vyshchykh navchalnykh zakladakh. The 6th International scientific and practical conference «Science and technology: challenges, prospects and innovations» (January 29-31, 2025). 2025. С. 139–145. (In Ukrainian).
  • 13. John Workman. Build Your Own Educational GPT! Artificial Intelligence in Education Conference: Shaping Future Classrooms. URL: https://ecampusontario.pressbooks.pub/artificialintelligenceineducationconference/chapter/build-your-own-educational-gpt/.
  • 14. Vydavnycha diialnist v umovakh rozvytku novitnikh tekhnolohii: vyvchennia zapytiv fakhivtsiv: monohrafiia / za zah. red. H. V. Horbenko; uporiad., nauk. red. N. M. Vernyhora; Instytut zhurnalistyky Kyivskoho universytetu im. B. Hrinchenka. Kyiv, 2019. 272 s. (In Ukrainian).