ARTIFICIAL INTELLIGENCE IN THE SYSTEM OF QUESTIONS «DIGIGRAM FOR TEACHERS»
DOI:
https://doi.org/10.31110/fmo2024.v39i1-04Keywords:
Artificial Intelligence, Digigram for teachers, system of questions, teachers, teaching staff, AIAbstract
Formulation of the problem. In 2024, the Institute for Digitalisation of Education of the National Academy of Educational Science of Ukraine launched the study "Design and Use of an Open Educational Environment with Elements of Artificial Intelligence for the Professional Development of Teaching Staff." One of the possible options for researching the state of the problem is the analysis of the system of questions of the national test "Digigram for teachers." The content of such questions and their number will allow us to analyze how teachers use this or that service, their distribution, and their knowledge about artificial intelligence.
Materials and methods. Systematic analysis of pedagogical and general scientific sources to clarify the state of development of the problem of using artificial intelligence in the field of education (Ukrainian and foreign experience); analysis of pedagogical, scientific literature to identify the main principles of building a system of questions of the national test "Digigram for teachers"; a comparative analysis to determine the most critical thematic blocks in the "Digigram for teachers" test.
Results. The analysis of the system of questions "Digigram for teachers" led to the formation of the primary author's thematic blocks by which all available questions can be divided: Facebook, Google Applications, YouTube, Electronic government, Electronic school, Working with a browser, Windows operating system, Inclusive education. Each block contains relevant components that characterize it in its entirety. The thematic block "Google Applications," which includes specific issues in the field of artificial intelligence, consists of the following services: Google Docs, Google Sheets, Google Presentations, Google Forms, Google Sites, Google Classroom, Google Drive, Google Maps, and Google Images.
Conclusions. In the "Digitgram for Teachers" test, only a few questions are related to artificial intelligence. No direct questions were identified that would highlight the use of artificial intelligence services in the educational process. In passing, specific questions can be related to using artificial intelligence (for example, those associated with Google Image or Google Maps services). Only 2% of such questions were found (1 out of 61 or 62). Their number will not help during the ascertainment stage of the pedagogical experiment, which is planned for 2024. The following steps will be to create methods and guidelines for using AI in the educational process.
Downloads
References
Hurkina, A. D. (2022). Sposoby pidvyshchennia informatsiino-tsyfrovoi kompetentnosti pedahohichnykh pratsivnykiv [Methods of increasing the information and digital competence of teacher]. Aktualni pytannia pryrodnycho-matematychnoi osvity : zbirnyk naukovykh prats – Topical issues of natural science and mathematics education : Collection of scientific works, 2 (20), 103-108. https://doi.org/10.5281/zenodo.7446936. (in Ukrainian).
Diia.Osvita [Diia.Education]. (2022). Yak v Ukraini zminiat shkilnyi kurs informatyky – How to change the school computer science course in Ukraine. URL: https://osvita.diia.gov.ua/news/v-ukraini-zminat-skilnij-kurs-informatiki. (in Ukrainian).
Diia.Osvita [Diia.Education]. (n.d.). Tsyfrohram – Digigram. URL: https://osvita.diia.gov.ua/digigram. (in Ukrainian).
Drach, I., Petroye, O., Borodiyenko, O., Reheilo, I., Bazeliuk, O., Bazeliuk, N., & Slobodianiuk, O. (2023). Vykorystannia shtuchnoho intelektu u vyshchii osviti [The Use of Artificial Intelligence in Higher Education]. Mizhnarodnyi naukovyi zhurnal «Universytety i liderstvo» – International Scientific Journal of Universities and Leadership, 15, 66-82. https://doi.org/10.31874/2520-6702-2023-15-66-82. (in Ukrainian).
Lytvynova, S., Marienko, M., Nosenko, Yu., Sukhikh, A., & Yatsyshyn, A. (2022). Tsyfrovizatsiia zahalnoi serednoi osvity Ukrainy (kinets XX st. – XXI st.) [Digitalization of general secondary education in Ukraine (end of the 20th century - 21st century)]. Suchasni informatsiini tekhnolohii ta innovatsiini metodyky navchannia u pidhotovtsi fakhivtsiv : metodolohiia, teoriia, dosvid, problem – Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, 40-57. https://doi.org/10.31652/2412-1142-2022-65-40-57. (in Ukrainian).
Yatsyshyn, A. (Resp. for issue). (2023). Vykorystannia shtuchnoho intelektu v osviti: ChatGPT i bilshe: zbirnyk materialiv kruhloho stolu – The Use of Artificial Intelligence in Education: ChatGPT and Beyond: Collection of Round Table Materials. UkrISTEI. (in Ukrainian).
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, Ch. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, (4), 100118. https://doi.org/10.1016/j.caeai.2022.100118.
Foltynek, T., Bjelobaba, S., Glendinning, I., Khan, Z. R., Santos, R., Pavletic, P., & Kravjar, J. (2023). ENAI Recommendations on the ethical use of Artificial Intelligence in Education. Int J Educ Integr, 19, 12. https://doi.org/10.1007/s40979-023-00133-4.
Kamalov, F, Santandreu Calonge, D, & Gurrib, I. (2023). New Era of Artificial Intelligence in Education : Towards a Sustainable Multifaceted Revolution. Sustainability, 15(16), 12451. https://doi.org/10.3390/su151612451.
Nemorin, S., Vlachidis, A., Ayerakwa, H. M., & Andriotis, P. (2023). AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 48 (1), 38-51. https://doi.org/10.1080/17439884.2022.2095568.
Downloads
Published
How to Cite
License
Copyright (c) 2024 Майя Мар'єнко
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Authors grant the journal a right of the first publication of the work under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)that allows others freely to use (read, copy and print) submissions, search content and link to published articles, disseminate their full text and use them for any legitimate non-commercial purposes (i.e. educational or scientific) with the mandatory reference to the article’s authors and initial publication in this journal.
- Original published articles cannot be used by users (exept authors) for commercial purposes or distributed by third-party intermediary organizations for a fee.
