Integration of Generative Artificial Intelligence Tools into the Educational Process

The paper deals with the use of Artificial Intelligence (AI) tools in formal education. The first part of the paper presents a theoretical framework, defining key concepts and examining the current state of AI use in education in Slovakia and other countries. This analysis provides a deeper insight into current trends and challenges in the implementation of AI in educational processes. The second part of the article focuses on a systematic search for AI tools that have the potential to be used in the educational process. The given tools are subjected to a content analysis to assess their applicability and benefits in the educational context. The results of this paper have the potential to contribute significantly to a better understanding of the benefits of AI in the context of formal education. It can also be used as a basis for developing effective strategies for implementing AI in educational processes and enriching research using advanced technologies in pedagogy.

Every day Artificial Intelligence (AI) technologies are more deeply inte-grated into education in general and into the process of a foreign language teaching in particular. Methodologists are developing language-specific methods of teaching lin-guistic university students foreign language aspects, types of speech activities, culture and translation based on specific AI tools. Most of these studies have a narrow focus and are aimed at solving individual and sometimes discrete pedagogical tasks. Such integration of AI into the educational process allows us to create additional conditions for extracurricular language practice for students and contributes to the further devel-opment of their foreign language communicative competence in all the diversity of its components. At the same time, the majority of methodological studies have a narrow focus and are oriented towards solving individual and sometimes discrete educational problems related to the development of specific speech skills or the formation of lexical, grammatical or phonetic speech skills of students. At the present stage, the language teaching potential of AI technologies allows to systematically consider the issue of in-tegrating AI into the process of language and methodological pre-service teachers’ training, which has not yet been the subject of a separate study. The aim of the paper is to develop a structural model for the integration of AI technologies in language and methodological pre-service teachers’ training. The model proposed by the authors for the integration of AI technologies in lan-guage and methodological pre-service teachers’ training consists of five blocks: lin-guistic disciplines, narrow professional disciplines, methodological disciplines, peda-gogical practice and research work. Within each block there are sub-blocks aimed at solving specific pedagogical/research tasks. The authors show which AI tools and tasks can be used in the context of teaching the disciplines from each block. The methodo-logical content of the blocks is based on the typology of feedback from generative AI as applied to teaching a foreign language, including educational-social, information-reference, methodological, analytical, evaluative and conditionally creative types. The methodological content of the blocks is based on the typology of feedback from generative AI in relation to foreign language teaching. The research is based on systematic and expert approaches using theoretical (comparative, component and complex analysis of AI tools, classification, synthesis, generalisation, modelling) and empirical (observa-tions and interviews with teachers and students) research methods. The research materials included scientific articles (Article and Review) published in academic journals indexed in the Scopus and Web of Science databases (Q1 and Q2), as well as Russian academic journals from the list of the Higher Attestation Commission of the Russian Federation on pedagogical sciences (С1 and С2). The subject of the research in the works used was the development of practical methods for teaching a foreign language (types of speech activity and aspects of language) using specific artificial intelligence tools.

Artificial intelligence has significant potentials in revolutionizing education by enhancing teaching methods, personalizing learning experiences, and improving educational outcomes. The aim of the research is to specify the role of AI in creation of future education and to outline the potentials and challenges artificial intelligence can bring within the educational process. To answer the research questions the case study on the role of AI in the creation of future education was conducted. The methods included structured interviews among institutions administrators, faculty members, students, and AI developers; survey among students and faculty to collect quantitative data on their use of and attitudes towards AI technologies; classroom observations. Over 50 recent scientific works were selected to evaluate the role of artificial intelligence in education and to conduct the comparative educational analysis. The research was conducted among 56 participants, in particularly 9 institutions administrators, 19 faculty members, 24 students, and 4 artificial intelligence developers. The results showed that artificial intelligence integrated in the educational process are used to design simulation-based activities, organize personalized learning, form specific skills among students, and automate the administrative process. artificial intelligence leads to enhancement of learning outcomes among students, increased efficiency, and greater accessibility of education, during war in particularly when the educational process can be disrupted. Using artificial intelligence in education presents several challenges that need to be addressed for its effective implementation. Also, it was found that efficient using artificial intelligence tools within the educational process will lead to the creation of positive artificial intelligence based learning landscape at the institutions of higher education which is characterized by efficiency, interactivity, inclusivity, innovation, and accessibility. The results of research can be implied by educational institutions to improve the educational process and by EdTech companies to develop educational tools and platforms.

The aim of this paper is to provide some concrete evidence, based on the literature review, about the reliability and validity of various Generative Artificial Intelligence (GenAI) tools in the educational process aiming to cultivate speaking and writing skills of learners of English as a second/foreign language (EFL). For this purpose, the PRISMA methodology was employed to secure an academically accepted and valid overview of the literature on the relevant topic. After the exclusion process, 54 studies, within the years 2024–2025, were carefully analyzed. Our discussion centers around the most well-cited benefits and limitations of GenAI-induced tools in the EFL context. The most important findings highlight the significance of employing GenAI tools alongside human teachers in the learning process, as these tools provide learners with opportunities to practice the foreign language in a stress-free, authentic, and stimulating environment. The results were further discussed by reviewing the main benefits, limitations, and pedagogical implications of the proposed use of GenAI in the educational process. Several limitations were acknowledged so as to provide guidelines for future research in this area. This systematic review has been registered through PROSPERO (ID: 1126543).

The article is devoted to the application of generative artificial intelligence (AI) in the study and teaching of foreign languages. In recent years, AI has been actively introduced into the educational process, offering personalized approaches, automated knowledge assessment and interactive teaching methods. The authors analyze existing research and identify the main areas of use of generative AI: chatbots, dialog systems, platforms for teaching writing and adaptive educational technologies. In conclusion, practical recommendations are formulated for teachers, researchers and educational organizations on the integration of generative AI into language education. The work highlights the importance of further research and collaboration between scientists, educators, and technology developers for the effective use of AI in the educational process. As a problem, especially important for the national education system, the task of forming ethical principles is outlined, indicating the limits of what is acceptable in the use of generative AI by teachers and students. Methodically, the article is carried out in the genre of a systematic review. The criteria for selecting sources included the year of publication (from 2017 to 2024) and the type of publication (theoretical articles, empirical research, review articles, technology reviews, editorial opinions, and discussion articles). Although there has been a significant body of published research and literature reviews on artificial intelligence (AI) in recent years, the existing literature specifically devoted to the application of generative AI in language education, as well as generative AI in general, is still very limited. Based on the review, the article makes a number of recommendations. First, educators should consider including generative AI tools in their teaching practice, while remaining vigilant and attentive to potential risks. Continuous professional development is crucial to ensure informed decisions and effective integration of generative AI tools. Secondly, researchers need to continue empirical research on the effectiveness and impact of generative AI tools, ethical considerations, educational interventions to develop specific language skills and involve stakeholders in responsible integration. Finally, society as a whole should take into account that the impact of generative AI goes beyond language education, and it is important to consider its integration into other subject areas.

Artificial intelligence is one of the leading technologies today, which is rapidly spreading into all spheres of human activities including education. In 2023, GPT chat was ranked fourth in the Top 100 Tools for Learning rating, which demonstrates the powerful potential of artificial intelligence tools for the development of innovative processes in education. Accordingly, educators need to understand what artificial intelligence is, its features, and how it can be used to replace the routine activities of both teachers and students in teaching and learning. The authors conducted a survey of primary school teachers about their understanding of this notion, ways to use it as their assistant, advantages and disadvantages of artificial intelligence, and prospects for its development and application in all areas of human activity. The level of respondents' knowledge and skills in artificial intelligence, its features and functions was determined. The professional standard of a primary school teacher and the types of activities, through which the teacher's labor functions are realized and for which it is advisable to use artificial intelligence tools, are analyzed. The development of primary school teachers' competencies can be positively influenced by the use of artificial intelligence in their professional activities. The authors describe digital artificial intelligence tools that will be useful for primary school teachers and classify them according to the types of their pedagogical activities. The areas of activity in which artificial intelligence can act as a teacher's assistant, as well as areas that are currently beyond the capabilities of artificial intelligence, are identified. It is concluded that primary school teachers need to be trained to use artificial intelligence in their professional activities and to transfer knowledge about artificial intelligence to pupils, as well as ways to teach pupils the features of artificial intelligence, methods of its application for teaching pupils and for their own professional development.

Currently, the development of technologies affects all spheres of society. Artificial intelligence technologies are intensively developing and are beginning to be actively used to solve various problems both at the everyday and at the scientific level. Accordingly, there are discussions in the pedagogical circle about the possibilities of using artificial intelligence to solve educational tasks: from finding educational material, translating educational material into another language, creating a curriculum, computer presentation for an educational session, creating a computer program or project to communication in another language with an IA-assistant (Artificial Intelligence). That is, a scientific and pedagogical worker can delegate the performance of certain tasks to artificial intelligence technologies (but with further verification of the completed tasks by artificial intelligence technologies) and reduce his time for preparing for educational classes. Increasingly, scientists emphasize the possibility of using artificial intelligence technologies in the educational process and the need to train scientific and pedagogical workers to use artificial intelligence. Accordingly, the purpose of the article was to analyze the concept of "artificial intelligence" and describe existing scientific approaches to the use of artificial intelligence in the educational process. The methodology of the research was the analysis of the concept of "artificial intelligence" by both Ukrainian and foreign scientists, analysis of scientific approaches, explanation, comparison and systematization of directions, advantages, disadvantages of using artificial intelligence in education. The definition of the concept of "artificial intelligence" by both Ukrainian and foreign scientists is presented. We defined the concept of "artificial intelligence" as an information technology that ensures the performance of certain complex intellectual tasks. Examples of artificial intelligence technologies that can be used in the educational process include: Anima, Grammarly, CENTURY, IntelliMetric, API DeepL, OpenArt, GodeRabbit, etc. The areas of use of artificial intelligence in education are described and highlighted: individualized training, intelligent training systems, automated assessment, group training. The advantages and disadvantages of using artificial intelligence in the educational process are characterized. The results of the study emphasize the importance of studying and using artificial intelligence in the educational process, because this technology is developing rapidly, has prospects for further active development and is used in various spheres of human activity: scientific, medical, military, pedagogical, industrial, household, etc.

Generative artificial intelligence is rapidly transforming the educational process and the scientific work of students, lecturers, researchers and administrators of higher education institutions. There are limited and contradictory recommendations for the use of artificial intelligence in the educational process and in the educational programmes of higher education institutions. To define the scope of AI application, there is a need to develop institutional policies for higher education institutions, which will allow the academic community to determine the appropriate scope of AI application in the educational process and prevent the use of AI in areas where ethical norms are violated. The purpose of the article is to summarise and systematise the experience of forming institutional policies for the application of artificial intelligence in education, training and research in higher education institutions using the experience of Kherson State University. The article presents the developed institutional policies for students, lecturers and researchers with recommended and not recommended initiatives for the use of AI in the educational process and research at Kherson State University. The purpose of these institutional policies was to create an inclusive environment of modern digital tools for involving of lecturers of non-professional specialties and define the framework for the use of artificial intelligence in education, teaching, and research of all subjects (participants) of educational activity. The recommendations are aimed at empowering all participants to select educational components creatively and at improving the efficiency of the educational process and research activities through the use of AI tools. Issues requiring further research regarding generative platforms lie in three thematic areas: knowledge base; transparency and ethics; digital transformation of organizations and societies. It is also relevant to create an educational environment that encourages the interaction and dissemination of positive practice of digital transformation of all participants of the educational process.

The study is devoted to analysing regional trends in introducing artificial intelligence (AI) into the in-service training system of teachers in the Kherson region of Ukraine in the context of distance learning during martial law. The study's originality lies in identifying specific regional features of the use of AI in the educational process in emergency conditions and developing targeted in-service training programmes adapted to the challenges of wartime. The study aims to identify effective ways to integrate artificial intelligence technologies into the teacher training system and develop their information and digital competence in distance learning. The research methodology included a comprehensive analysis of the regulatory framework, scientific and methodological literature, and a survey of teachers on their readiness for professional development in AI implementation. The study results revealed the main advantages (access to data-based resources, personalisation of the educational process, automation of assessment, creation of interactive learning environments, use of virtual assistants, etc.) and disadvantages (lack of teacher training, ethical issues and technical limitations) of using artificial intelligence in the educational process. Based on the study of AI tools, the content lines of the advanced training programmes "Artificial Intelligence in the Educational Process" and "Neural Networks in Education" of 30 hours (1 ECTS credit) were developed. The study's findings can serve as a basis for developing regional strategies for introducing AI into the educational process, including training, infrastructure development, and cooperation between educational institutions and technology companies.

This paper discusses the integration of artificial intelligence (AI) tools in education, delineating their potential to transform pedagogical practices alongside the challenges they present. Generative AI models like ChatGPT, had a disruptive impact on teaching and learning, due to their ability to create text, images, and sound, revolutionizing educational content creation and modification. However, nowadays the educational community is polarized, with some embracing AI for its accessibility and efficiency thus advocating it as an indispensable tool, while others cautioning against risks to academic integrity and intellectual development. This document is designed to raise awareness about AI tools and provide some examples of how they can be used to improve education and learning. From an educator’s perspective, AI is an asset for curriculum development, course material preparation, instructional design and student assessment, while reducing bias and workload. For students, AI tools offer personalized learning experiences, timely feedback, and support in various academic activities. The Turkish Biochemical Society (TBS) Academy recommends educators to embrace and utilize AI tools to enhance educational processes, and engage in peer learning for better adaptation while maintaining a critical perspective on their utility and limitations. The transfer of AI knowledge and methods to the teaching experiences should complement and not replace the educator’s creativity and critical thinking. The paper advocates for an informed embrace of AI, AI fluency among educators and students, ethical application of AI in academic settings, and continuous engagement with the evolving AI technologies, ensuring that AI tools are used to augment critical thinking and contribute positively to education and society.

Purpose: This analysis aims to propose guidelines for artificial intelligence (AI) research ethics in scientific publications, intending to inform publishers and academic institutional policies in order to guide them toward a coherent and consistent approach to AI research ethics.Methods: A literature-based thematic analysis was conducted. The study reviewed the publication policies of the top 10 journal publishers addressing the use of AI in scholarly publications as of October 2024. Thematic analysis using Atlas.ti identified themes and subthemes across the documents, which were consolidated into proposed research ethics guidelines for using generative AI and AI-assisted tools in scholarly publications.Results: The analysis revealed inconsistencies among publishers’ policies on AI use in research and publications. AI-assisted tools for grammar and formatting are generally accepted, but positions vary regarding generative AI tools used in pre-writing and research methods. Key themes identified include author accountability, human oversight, recognized and unrecognized uses of AI tools, and the necessity for transparency in disclosing AI usage. All publishers agree that AI tools cannot be listed as authors. Concerns involve biases, quality and reliability issues, compliance with intellectual property rights, and limitations of AI detection tools.Conclusion: The article highlights the significant knowledge gap and inconsistencies in guidelines for AI use in scientific research. There is an urgent need for unified ethical standards, and guidelines are proposed for distinguishing between the accepted use of AI-assisted tools and the cautious use of generative AI tools.

This article provides an overview of artificial intelligence (AI) tools that support researchers, postgraduate and doctoral students at different stages of the scientific research process in higher education. The study emphasizes how AI tools, especially special AI bots, enhance research efficiency and strengthen researchers’ capabilities. In this study, the scientific research cycle is outlined step by step, including problem definition, literature review, research design, data collection, data analysis, interpretation, academic writing, and presentation. By mapping specific AI tools to each stage of this cycle, the article demonstrates how AI can streamline workflows and enable more effective and efficient scientific research.

This article provides a detailed examination of both the benefits and potential risks of implementing artificial intelligence technologies in higher education institutions. It also discusses the possibilities of using neural networks in the educational process, their impact on the quality of education, the availability of educational resources, and the individualization of students' educational trajectories. Particular attention is paid to the role of artificial intelligence in automating routine tasks, assessing knowledge, and creating adaptive curricula. The article also considers the ethical and legal issues associated with the use of artificial intelligence in the educational environment. It emphasizes the need to develop clear rules and standards that will ensure the fair and safe use of neural network technologies. In addition, aspects of academic honesty and possible risks of unfair use of artificial intelligence in educational and scientific activities are analyzed. An important part of the study is the results of a sociological survey “Students and Artificial Intelligence: A Look into the Future” conducted among students of Makhambet Utemisov West Kazakhstan University. The survey data show that generative artificial intelligence is widely used by students to solve educational problems, write scientific papers, and implement creative projects. Based on the data obtained, a conclusion was made about the need to continue scientific discussion of the issues of integrating artificial intelligence into the educational sphere, as well as developing methodological recommendations for its effective use in the educational process. Particular attention is paid to teaching students and teachers the principles of responsible interaction with artificial intelligence, developing critical thinking and analyzing information obtained with its help.

Recently, higher education has undergone significant changes due to the use of digital technologies and innovations. The use of innovative platforms, hybrid models and online services cannot overcome the requirements of today. To solve these problems, the article proposes a hypothesis regarding the use of a digital twin of a teacher. The use of modeling, design and optimization of the pedagogical educational process based on a cyber-physical system built on mathematical modeling and synergy is suggested. The study presents the process of building cooperation between a teacher and a higher education student when creating a digital twin of the latter, which integrates a model of the subject area of knowledge for the educational process, takes into account the variable parameters of the education student and models the educational process based on the use of the latest artificial intelligence technologies. The proposed architecture includes Internet of Things (IoT) technologies, machine learning and big data analytics, which together reflect the digitalization of Industry 4.0 and support for the “live” learning process. The results of the study demonstrate the practical consequences of using artificial intelligence tools among students and teachers. The need to use significant computing and machine equipment to analyze the results of the implementation of a digital twin is emphasized. The results of a two-stage survey of higher education students and university teachers are presented. They indicate positive aspects, such as: work-life balance and flexibility of learning. At the same time, the disadvantages are obvious as psychological safety and ethics of data use. As a result, the authors concluded that the digital twin of a teacher is an individual, transparent, adaptive and motivational tool for improving the educational process. Its further implementation depends in the future on resolving issues related to the ethics of personal data and psychological support by creating a conference database, impartiality algorithms and a reliable methodological foundation for resolving potential conflicts.

Artificial intelligence technologies have transformed the education sector and require the introduction of new teaching and learning practices, the development of artificial intelligence courses, and educational research. The aim of the study is to analyse regulatory documents in the context of introducing artificial intelligence technologies into the educational process and to determine the trajectory of preparing students for the use of artificial intelligence technologies. The article analyses current approaches to integrating artificial intelligence technologies into the educational process of higher education institutions and their impact on the development of digital competence among students. The challenges, opportunities and risks of using artificial intelligence technologies in education are identified, and international and Ukrainian regulatory documents governing the introduction of artificial intelligence are outlined, in particular the UNESCO framework, the European Commission’s ethical recommendations on the use of artificial intelligence for educators, the European Strategy for Artificial Intelligence in Science, and the Concept of Artificial Intelligence approved in Ukraine. The need to create a regulatory and ethical framework for the implementation of artificial intelligence technologies in educational institutions is emphasised. Based on an analysis of regulatory documents and best practices, a conceptual technology for integrating artificial intelligence technologies into the educational process has been developed, which includes target, technological, content-methodological, ethical, and performance-evaluation components. The trajectory of training students to use artificial intelligence technologies in their professional activities and the experience of introducing the academic discipline ‘Artificial Intelligence Technologies’ are presented. The necessity of forming in students a conscious, safe and responsible use of artificial intelligence tools, the development of critical thinking and the development of strategies for educational institutions in the context of using artificial intelligence technologies is substantiated. The study showed that the use of artificial intelligence contributes to the high-quality organisation of the educational process, the improvement of teaching methods, and the development of future-oriented critical thinking skills in students.