Research on Generative Artificial Intelligence Technologies in Education: Opportunities, Challenges, and Ethical Aspects

Olha Yuzyk; Vitalii Honcharuk; Yurii Pelekh; Lyudmyla Bilanych; Pavlo Sirenko; Ihor Voitovych; Liudmyla Roienk; Halyna Bilanych; Dmytro Makukh; Janis Zidens; Mykola Yuzyk; Mariia Yuzyk

doi:10.70594/brain/16.s1/12

Research on Generative Artificial Intelligence Technologies in Education: Opportunities, Challenges, and Ethical Aspects

Olha Yuzyk, Vitalii Honcharuk, Yurii Pelekh, Lyudmyla Bilanych, Pavlo Sirenko, Ihor Voitovych, Liudmyla Roienk, Halyna Bilanych, Dmytro Makukh, Janis Zidens, Mykola Yuzyk, Mariia Yuzyk

Rīga Stradiņš University

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Abstract

The article investigates that in Ukraine there are a number of regulatory documents aimed at supporting the use of artificial intelligence (hereinafter referred to as AI) in education and in various industries, starting from October 2019. The advantages and risks of using generative AI technologies are substantiated. The advantages and risks of using AI technologies in the educational process of professional training of higher education students and the education system are characterised. Using the example of practical work and generation tasks in Adobe Firefly with AI, it was found that the task program with abstract concepts (on the example of the Ukrainian fairy tale ‘About Truth and Wrong’) failed to generate images. At the same time, the author's fairy tale with real literary characters ‘The Princess on the Pea’ by Hans Christian Andersen was generated. The article also discusses the challenges that were identified when the programme performed the task of generating images for the query ‘Artificial intelligence and humans: good or evil? A series of images‘, which, in the authors’ opinion, require a thorough study by professional annotators. The authors have analysed the JourneyDB program and the Midjourney AI program, which runs on the JourneyDB platform. The results of a survey of pedagogical and scientific workers concerning the ethical aspects of AI in education are analysed. The paper contains an analysis of opportunities and new challenges in the field of AI application in education and other industries The authors conclude that the existing models of developed AI generative programs require more comprehensive testing before they can be launched for mass use. If inaccuracies are found in the results of generations, they recommend changing the data on which they operate (changing the DataSet). We believe that generative AI technologies in education have a promising and rapid future. Generative AI technologies require research into their broader capabilities and challenges.

Original language	English
Pages (from-to)	139-151
Number of pages	13
Journal	Brain-broad Research in Artificial Intelligence and Neuroscience
Volume	16
Issue number	1 Sup1
DOIs	https://doi.org/10.70594/brain/16.s1/12
Publication status	Published - Apr 2025

Keywords*

Al capabilities
JourneyDB
Midjourney Al
Artificial intelligence
ethical aspects of Al
ethical use of Al
Generative technologies
query generation in Adobe Firefly
Survey analysis

Field of Science*

3.3 Health sciences

Publication Type*

1.1. Scientific article indexed in Web of Science and/or Scopus database

Access to Document

10.70594/brain/16.s1/12Licence: CC BY-NC-ND

Research on Generative Artificial Intelligence Technologies in EducationFinal published version, 5.8 MBLicence: CC BY-NC-ND

Cite this

Yuzyk, O., Honcharuk, V., Pelekh, Y., Bilanych, L., Sirenko, P., Voitovych, I., Roienk, L., Bilanych, H., Makukh, D., Zidens, J., Yuzyk, M., & Yuzyk, M. (2025). Research on Generative Artificial Intelligence Technologies in Education: Opportunities, Challenges, and Ethical Aspects. Brain-broad Research in Artificial Intelligence and Neuroscience, 16(1 Sup1), 139-151. https://doi.org/10.70594/brain/16.s1/12

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title = "Research on Generative Artificial Intelligence Technologies in Education: Opportunities, Challenges, and Ethical Aspects",

abstract = "The article investigates that in Ukraine there are a number of regulatory documents aimed at supporting the use of artificial intelligence (hereinafter referred to as AI) in education and in various industries, starting from October 2019. The advantages and risks of using generative AI technologies are substantiated. The advantages and risks of using AI technologies in the educational process of professional training of higher education students and the education system are characterised. Using the example of practical work and generation tasks in Adobe Firefly with AI, it was found that the task program with abstract concepts (on the example of the Ukrainian fairy tale {\textquoteleft}About Truth and Wrong{\textquoteright}) failed to generate images. At the same time, the author's fairy tale with real literary characters {\textquoteleft}The Princess on the Pea{\textquoteright} by Hans Christian Andersen was generated. The article also discusses the challenges that were identified when the programme performed the task of generating images for the query {\textquoteleft}Artificial intelligence and humans: good or evil? A series of images{\textquoteleft}, which, in the authors{\textquoteright} opinion, require a thorough study by professional annotators. The authors have analysed the JourneyDB program and the Midjourney AI program, which runs on the JourneyDB platform. The results of a survey of pedagogical and scientific workers concerning the ethical aspects of AI in education are analysed. The paper contains an analysis of opportunities and new challenges in the field of AI application in education and other industries The authors conclude that the existing models of developed AI generative programs require more comprehensive testing before they can be launched for mass use. If inaccuracies are found in the results of generations, they recommend changing the data on which they operate (changing the DataSet). We believe that generative AI technologies in education have a promising and rapid future. Generative AI technologies require research into their broader capabilities and challenges. ",

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year = "2025",

month = apr,

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Yuzyk, O, Honcharuk, V, Pelekh, Y, Bilanych, L, Sirenko, P, Voitovych, I, Roienk, L, Bilanych, H, Makukh, D, Zidens, J, Yuzyk, M & Yuzyk, M 2025, 'Research on Generative Artificial Intelligence Technologies in Education: Opportunities, Challenges, and Ethical Aspects', Brain-broad Research in Artificial Intelligence and Neuroscience, vol. 16, no. 1 Sup1, pp. 139-151. https://doi.org/10.70594/brain/16.s1/12

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AU - Yuzyk, Olha

AU - Honcharuk, Vitalii

AU - Pelekh, Yurii

AU - Bilanych, Lyudmyla

AU - Sirenko, Pavlo

AU - Voitovych, Ihor

AU - Roienk, Liudmyla

AU - Bilanych, Halyna

AU - Makukh, Dmytro

AU - Zidens, Janis

AU - Yuzyk, Mykola

AU - Yuzyk, Mariia

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N2 - The article investigates that in Ukraine there are a number of regulatory documents aimed at supporting the use of artificial intelligence (hereinafter referred to as AI) in education and in various industries, starting from October 2019. The advantages and risks of using generative AI technologies are substantiated. The advantages and risks of using AI technologies in the educational process of professional training of higher education students and the education system are characterised. Using the example of practical work and generation tasks in Adobe Firefly with AI, it was found that the task program with abstract concepts (on the example of the Ukrainian fairy tale ‘About Truth and Wrong’) failed to generate images. At the same time, the author's fairy tale with real literary characters ‘The Princess on the Pea’ by Hans Christian Andersen was generated. The article also discusses the challenges that were identified when the programme performed the task of generating images for the query ‘Artificial intelligence and humans: good or evil? A series of images‘, which, in the authors’ opinion, require a thorough study by professional annotators. The authors have analysed the JourneyDB program and the Midjourney AI program, which runs on the JourneyDB platform. The results of a survey of pedagogical and scientific workers concerning the ethical aspects of AI in education are analysed. The paper contains an analysis of opportunities and new challenges in the field of AI application in education and other industries The authors conclude that the existing models of developed AI generative programs require more comprehensive testing before they can be launched for mass use. If inaccuracies are found in the results of generations, they recommend changing the data on which they operate (changing the DataSet). We believe that generative AI technologies in education have a promising and rapid future. Generative AI technologies require research into their broader capabilities and challenges.

AB - The article investigates that in Ukraine there are a number of regulatory documents aimed at supporting the use of artificial intelligence (hereinafter referred to as AI) in education and in various industries, starting from October 2019. The advantages and risks of using generative AI technologies are substantiated. The advantages and risks of using AI technologies in the educational process of professional training of higher education students and the education system are characterised. Using the example of practical work and generation tasks in Adobe Firefly with AI, it was found that the task program with abstract concepts (on the example of the Ukrainian fairy tale ‘About Truth and Wrong’) failed to generate images. At the same time, the author's fairy tale with real literary characters ‘The Princess on the Pea’ by Hans Christian Andersen was generated. The article also discusses the challenges that were identified when the programme performed the task of generating images for the query ‘Artificial intelligence and humans: good or evil? A series of images‘, which, in the authors’ opinion, require a thorough study by professional annotators. The authors have analysed the JourneyDB program and the Midjourney AI program, which runs on the JourneyDB platform. The results of a survey of pedagogical and scientific workers concerning the ethical aspects of AI in education are analysed. The paper contains an analysis of opportunities and new challenges in the field of AI application in education and other industries The authors conclude that the existing models of developed AI generative programs require more comprehensive testing before they can be launched for mass use. If inaccuracies are found in the results of generations, they recommend changing the data on which they operate (changing the DataSet). We believe that generative AI technologies in education have a promising and rapid future. Generative AI technologies require research into their broader capabilities and challenges.

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KW - JourneyDB

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KW - ethical use of Al

KW - Generative technologies

KW - query generation in Adobe Firefly

KW - Survey analysis

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Research on Generative Artificial Intelligence Technologies in Education: Opportunities, Challenges, and Ethical Aspects

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