Science, Technologies, Innovations №3(31) 2024, 83-91 р

http://doi.org/10.35668/2520-6524-2024-3-09

Bobarchuk О. А. — PhD in Engineering, National Aviation University, Lubomyr Huzar Ave, 1, Kyiv, Ukraine; a.bobarchuk@gmail.com; ORCID: 0000-0003-3176-7231

Matviichuk-Yudina O. V. — PhD іn Pedagogy, Associate Professor, National Aviation University, Lubomyr Huzar Ave, 1,
Kyiv, Ukraine, 03058; metalen3@ukr.net; ORCID: 0000-0002-5906-5023

Kokorovets M. O. — student, National Aviation University, Lubomyr Huzar Ave, 1, Kyiv, Ukraine, 03058; milakokor@gmail.com; ORCID: 0009-0008-1329-9618

APPLICATION AREAS OF ARTIFICIAL INTELLIGENCE IN PUBLISHING ACTIVITIES

Abstract. In this study, the experiences of publishers and researchers in implementing machine processing measures for publishing information are examined, focusing on the development and enhancement of tools for automating editorial processes, as well as the creation of personalized training programs and trend analysis systems in publishing. The stages of the production cycle for types of paper and electronic publications using machine processing systems for publishing information are proposed, giving the learner an understanding of practical and effective publishing tools associated with a standardized production process. Specifically, these stages include planning, content creation, layout, personalization of layouts for various devices and formats, marketing and distribution, project management, resource, and budget management. Examples of using artificial intelligence to improve the accessibility, quality, and efficiency of education are shown, particularly for the adaptability of educational programs, the automation of tasks traditionally performed by teachers, and the creation of interactive elements in electronic publications, such as animation, video, sound, and games, for translating electronic publications into other languages, thereby providing accessibility to a broad audience. Theoretical proposals and software tools for the successful integration of artificial intelligence in the preparation of competitive and highly qualified publishing specialists in the face of rapid technological changes are offered. The importance of using artificial intelligence to ensure high-quality personnel training in the publishing industry amidst the fast development of information technologies and systems is
emphasized.

Keywords: artificial intelligence, machine processing of information, publishing industry, automation of editorial processes.

REFERENCES

  1. Bykov, V. Yu., & Luparenko, L. A. (2023). Software and functional aspects of creation and support of ukrainian online encyclopaedic resources. Information Technologies and Learning Tools. 3 (95). 162–182.
  2. Iatsyshyn, A. V., Mozolevych, G. Y., Sukhikh, A. S., Yatsyshyn, T. M., & Burov, O. Y. (2023). Level and scope of involvement of Ukrainian higher education and research institutions in e-infrastructures: survey results. CEUR Workshop Proceedings. 23–42.
  3. Lytvynova, C. (2024). Metodychni aspekty vykorystannia 360-hradusnoho video v umovakh zmishanoho navchannia [Methodical aspects of using 360-degree video in conditions of mixed learning]. Naukovi zapysky. Seriia: Pedahohichni nauky [Proceedings. Series: Pedagogical sciences]. 213, 279–286. [in Ukr.].
  4. Spirin, O. M., Oleksiuk, V. P., Ivanova, S. M., & Novytska, T. L. (2023). Kryterii ta pokaznyky otsiniuvannia rezultatyvnosti kolektyvnykh pedahohichnykh doslidzhen [Criteria and indicators for evaluating the effectiveness of collective pedagogical research]. Informatsiini tekhnolohii i zasoby navchannia [Information technologies and teaching aids]. 98 (6), 190–211. DOI: 10.33407/itlt.v98i6.5471. [in Ukr.].
  5. Yatsyshyn, A. (Ed.) (2023). Vykorystannia shtuchnoho intelektu v osviti: ChatGPT i bilshe: zbirnyk materialiv kruhloho stolu, 14 chervnia 2023 roku, Ukraina [Using Artificial Intelligence in Education: ChatGPT and More: Roundtable Proceedings, June 14, 2023, Ukraine]. Answer for issue. Kyiv, 53 p. Retrieved from: http://www.uintei.kiev.ua/sites/default/files/an-mor-dos_0.pdf [in Ukr.].
  6. Blei, D., & Green, D. (2024). Field Experiments, Machine Learning, and Causality. Spring, 4 p. Retrieved from: https://www.cs.columbia.edu/~blei/seminar/2024-field-experiments/materials/syllabus.pdf.
  7. Ding, T., Angelopoulos, A., Bates, S., Jordan, M., & Tibshirani, R. J. (2023). Tibshirani Advances in Neural Class-conditional conformal prediction with many classes. Information Processing Systems. 36, 22. Retrieved from: https://proceedings.neurips.cc/ paper_files/paper/2023/file/cb931eddd563f8d473c355518ce8601c-Paper-Conference.pdf.
  8. Corso, G., Stark, H., Jegelka, S., Jaakkola, T., & Barzilay, R. (2024). Graph neural networks. Nature Reviews Methods Primers. 4 (1), Article number. 17.
  9. Sorensen, T., Jiang, L, Hwang, J. D., Levine, S., Pyatkin V., West, P., & Dziri, N. (2024). Value kaleidoscope: Engaging ai with pluralistic human values, rights, and duties. Proceedings of the AAAI Conference on Artificial Intelligence, 48 p. Retrieved from: https://arxiv.org/pdf/2309.00779.
  10. Peven, K., Khmil, N., & Makohonchuk, N. (2023). Vplyv shtuchnoho intelektu na zminu tradytsiinykh modelei navchannia ta vykladannia: analiz tekhnolohii dlia zabezpechennia efektyvnosti indyvidualnoi osvity [The impact of artificial intelligence on changing traditional models of learning and teaching: an analysis of technologies to ensure the effectiveness of individualized education]. Perspektyvy ta innovatsii nauky [Perspectives and innovations of science]. 11 (29), 306–316. [in Ukr.].
  11. Dovhodko, M., & Chuchko, V. (2023). Vykorystannia suchasnykh prohramnykh zasobiv dlia vychytuvannia ta redaktury tekstiv elektronnykh vydan [Vykorystannia suchasnykh prohramnykh zasobiv dlia vychytuvannia ta redaktury tekstiv elektronnykh vydan]. Multymediini tekhnolohii v osviti ta inshykh sferakh diialnosti [Multimedia Technologies in Education and Other Fields of Activity: International Conference]. Kyiv, 98–99. [in Ukr.].
  12. Matviichuk-Yudina, O., & Kokorovets, M. (2023). Shtuchnyi intelekt yak instrument v obrobtsi audio ta video produktsii [Artificial intelligence as a tool in the processing of audio and video products]. Suchasni mizhnarodni vidnosyny: aktualni problemy teorii ta praktyky [Modern International Relations: Current Problems of Theory and Practice: International Conference]. Kyiv, 338–347. [in Ukr.].
  13. Ushakova, I. O., & Pedan, O. A. (2020). Osoblyvosti vykorystannia shtuchnoho intelektu v osviti [Peculiarities of using artificial intelligence in education]. Lviv, 31 p. [in Ukr.].
  14. Kravchenko, N. V., Alyeksyeyeva, H. M., & Gorbatyuk, L. V. (2018). Curriculum Optimization by the Criteria of Maximizing Professional Value and the Connection Coefficient of Educational Elements, Using Software Tools. ICTERI 2018: 14th International conference on ict in education, research, and industrial applications: CEUR Workshop Proceedings (Kyiv, Ukraine, May 14–17, 2018). 1, 365–378.
  15. Perekrest, Yu. Yak shtuchnyi intelekt mozhe dopomohty osviti [How artificial intelligence can help education]. Retrieved from: https://osvitoria.media/experience/yak-shtuchnyj-intelekt-mozhe-dopomogty-osviti/. [in Ukr.].