Artificial Intelligence In Education Research Articles

Enhancing Classroom Learning: ChatGPT's Integration and Educational Challenges

Artificial intelligence is rapidly reshaping various aspects of society, including the realm of education. The emergence of ChatGPT in November 2022 has ignited global discourse, prompting numerous studies to explore its potential benefits and drawbacks, particularly within higher education. ChatGPT offers numerous advantages for teaching and learning, such as promoting personalized education, assisting in research paper writing, refining grammar, and writing skills, and fostering critical thinking. However, alongside its benefits, concerns regarding ethical considerations and academic integrity have been raised. This paper delves into the role of ChatGPT as an AI tool, examining studies conducted between 2022 and 2023. It also addresses the ethical and academic dilemmas associated with its widespread use. Additionally, the paper discusses the challenges impeding the seamless integration of AI in education, particularly in developing countries like Jordan. Furthermore, it sheds light on Jordan's efforts to embrace artificial intelligence in education and underscores the necessity for an education-centric AI policy to cultivate skilled professionals capable of navigating the global AI revolution. Despite varying conclusions across studies, this review underscores the importance of prioritizing the education sector within Jordanian AI policies. Such prioritization is crucial given the sector's role in nurturing skilled individuals and implementing curricula effectively, thus facilitating national development. This paper holds significance for researchers, educational technology practitioners, and policymakers alike, offering insights into the multifaceted implications of AI integration in education and advocating for informed policy decisions to harness its potential effectively.

Nordic radiographers’ and students’ perspectives on artificial intelligence – A cross-sectional online survey

IntroductionThe integration of artificial intelligence (AI) into the domain of radiography holds substantial potential in various aspects including workflow efficiency, image processing, patient positioning, and quality assurance. The successful implementation of AI within a Radiology department necessitates the participation of key stakeholders, particularly radiographers. The study aimed to provide a comprehensive investigation about Nordic radiographers' perspectives and attitudes towards AI in radiography. MethodsAn online 29-item survey was distributed via social media platforms to Nordic students and radiographers working in Denmark, Norway, Sweden, Iceland, Greenland, and the Faroe Islands including items on demographics, specialization, educational background, place of work and perspectives and knowledge on AI. The items were a mix of closed-type and scaled questions, with the option for free-text responses when relevant. ResultsThe survey received responses from all Nordic countries with 586 respondents, 26.8% males, 72.1% females, and 1.1% non-binary/self-defined or preferred not to say.The mean age was 37.2 with a standard deviation (SD) of ±12.1 years, and the mean number of years since qualification was 14.2 SD ± 10.3 years. A total of 43% (n = 254) of the respondents had not received any AI training in clinical practice. Whereas 13% (n = 76) had received AI during radiography undergrad training. A total of 77.9% (n = 412) expressed interest in pursuing AI education. The majority of respondents were aware of the potential use of AI (n = 485, 82.8%) and 39.1% (n = 204) had no reservations about AI. ConclusionOverall, this study found that Nordic radiographers have a positive attitude toward AI. Very limited training or education has been provided to the radiographers. Especially since 82.8% reports on plans to implement AI in clinical practice. In general, awareness of AI applications is high, but the educational level is low for Nordic radiographers. Implication for practiceThis study emphasises the favourable view of AI held by students and Nordic radiographers. However, there is a need for continuous professional development to facilitate the implementation and effective utilization of AI tools within the field of radiography.

The Role of Artificial Intelligence in Creation of Future Education: Possibilities and Challenges

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.

Role of artificial intelligence in education: A conceptual review

The increasing availability of Artificial Intelligence and related tools and technologies has made it possible to use AI in various domains of life. The field of education is also witnessing an increasing use of AI; however, its scope and related challenges remain unclear. In the current paper, we, by using previous empirical and theoretical studies, provided an overview of the use of AI in the education field, its related challenges, and future opportunities. Accordingly, we noted that AI is being used in the Education field as evidenced by global initiatives such as UNESCO. We also noted that AI applications in the education field include enabling the preparation of content, assignments, automated grading, and assistance to students. The benefits of AI in education include greater flexibility in terms of time and space and a changing role of the tutor as a facilitator. We also discussed key challenges including ethical issues such as data privacy, lack of inclusion and equity for students of all backgrounds, and lack of human touch. Based on these themes we concluded that AI's role in education will increase in the future, but the challenges also need to be addressed to fully unlock the benefits of AI in the education field.

생성형 인공지능과 교육에 관한 언론보도 토픽 분석

Objectives The purpose of this study is to analyze topics of media reports regarding generative artificial intellignece and education. Methods For this purpose, topic model, one of the text mining techniques, was used. First, we collected newspaper article data on ‘Generative Artificial Intelligence and Education’ through the Big Kinds service and then performed pre-processing and morphological analysis. Based on this, 30 keywords were analyzed. By measuring the number of topics and deriving the top 10 words for each topic, 13 topics were presented and explained. Results The 13 topics presented through the research results are as follows. Researchers focus on education that fosters artificial intelligence leadership, Gyeonggi GPT and fair art education, digital finance professional training, problems and responses to digital democracy, reliability and ethical use of artificial intelligence, artificial intelligence used in creation in various fields, training programs between Gyeonggi-do and State University of New York, regional cooperation model for artificial intelligence convergence education, artificial intelligence edutech support project and core talent training, Metaverse Lab support project, strengthening employee artificial intelligence capabilities for use in local government administrative work, Busan Metropolitan Office of Education's digital program attracting attention from overseas and changes in cultural arts education methods in the era of artificial intelligence were presented. Conclusions Based on the topics presented in this study, we proposed ways to apply and activate generative artificial intelligence in education. The five measures are strengthening teacher capacity for generative artificial intelligence, establishing guidelines for the development and use of artificial intelligence, learner capacity to use generative artificial intelligence correctly, developing and disseminating generative artificial intelligence teaching cases, and based on spontaneity. This is support from the Artificial Intelligence Teacher Research Group.

Foreword

As technology advances, there are growing arguments about artificial intelligence, which is still controversial, with both welcome and pessimistic views regarding its role in the future of human life. What was revealed about the development of artificial intelligence is considered very simple in the eyes of specialists and observers, especially in areas that have not been explored, and this constitutes a source of fear for many. The vast leaps witnessed in recent years in the field of artificial intelligence have become a source of anxiety for most people, especially those working in institutions and industrial facilities, even though this anxiety stems from losing their jobs and replacing them with robots. This concern came from statements that the next two decades will witness the introduction of vast quantities of robots to the market. OpenAI was initially established in 2015 by Sam Altman, Elon Musk, and others to advance digital intelligence. On November 30, 2022, OpenAI released ChatGPT (Generative Pre-trained Transformer. ChatGPT uses a large language model to provide users with quick and reliable answers and give enough information about most of the topics. Furthermore, ChatGPT allows users to have more in-depth conversations. The concern about the impact role of ChatGPT on educational and social institutions has led to some reactions from academic institutions, and school districts were hasty and took action to block artificial intelligence platforms from schools, which they quickly retracted in the aftermath. On the other hand, some scholarly academic journals, including our Arab World English Journal, have announced guidelines for article authors. Authors must disclose the use of generative AI and AI-assisted technologies in the writing process. While we are editing the final draft of this volume (April 2024), OpenAI CEO Sam Altman announced in a statement that OpenAI has opened its first office in Asia, Japan, and is providing a GPT-4 custom for the Japanese language; it is three times faster its predecessor. OpenAI aims to expand ChatGPT’s global presence. After releasing ChatGPT, which is backed by Microsoft, OpenAI has emerged as a leading company in the history of computing. In this special issue, we addressed the impact of ChatGPT and AI-assisted technologies, an essential topic that will constitute the main features of education and publications in the twenty-first century. The issue contains 21 articles from eight countries (China, Kuwait, Iraq, Oman, Malaysia, Morocco, Saudi Arabia, and Ukraine). It covers a broad spectrum of related topics: Academic writing, the pedagogical potential of infinigoChatIC, Grammar Teaching and Learning in EFL Classes, English Language Proficiency in EFL Classrooms, Grammar Teaching and Learning in EFL Classes, EFL Essay Writing, Distance Learning Environment, Evaluation of the Translation, Improve the Research Writing Process, Role of Artificial Intelligence in Education, Language Learners’ Critical Thinking, Naruto Fan Fiction Writing, and the Impact of ChatGPT on Future Academics. We seize this opportunity to extend our heartfelt thanks to the authors who have shared their research with our Arab World English journal. We anticipate that the articles in this volume will attract a diverse readership and deepen our understanding of ChatGPT’s role in learning and teaching and its associated challenges. We also hope these papers will provide a thought-provoking perspective for faculty members and students to consider ChatGPT’s impact on writing and related assignments.

Overview of Artificial Intelligence in Education: A Literature Survey

Drawing from a thorough analysis of the body of research and literature already in existence, this literature review offers an overview of Artificial Intelligence's (AI) application in education. The study looks at how AI has developed in educational contexts, looks at different ways that AI is being used in teaching and learning, and talks about the advantages and disadvantages of integrating AI. This survey provides insightful viewpoints on the present and potential future orientations of Artificial Intelligence in education by synthesising important findings and insights from the literature.

Students’ Intention toward Artificial Intelligence in the Context of Digital Transformation

The analysis of students’ attitudes and perceptions represents a basis for enhancing different types of activities, including teaching, learning, assessment, etc. Emphasis might be placed on the implementation of modern procedures and technologies, which play an important role in the process of digital transformation. Among them is artificial intelligence—a technology that has already been found to be applicable in various sectors. When it comes to education, several AI-based tools and platforms can be used by students and teachers. Besides offering customized learning experiences, AI may play a significant part in establishing the concept of sustainability, especially when concerning the achievement of sustainable development goal 4. This paper investigates students’ intention to use artificial intelligence in education, taking three predictors from the UTAUT model and AI awareness as the moderator. The analysis included students from the Autonomous Province of Vojvodina, Republic of Serbia. For the purpose of the research, the partial least squares structural equation modeling (PLS-SEM) method was applied. Hereby, two models (without and with a moderator) were tested to examine the main and moderating effects, respectively. Regarding the results, while interaction terms were non-significant, the impacts of performance expectancy, effort expectancy, and social influence on behavioral intention were significant and positive.

Navigating the Artificial Intelligence Frontier: Perceptions of Instructors, Students, and Administrative Staff on the Role of Artificial Intelligence in Education in the Sultanate of Oman

This study examines the perceptions of instructors, students, and administrative staff on the role of ChatGPT in Oman’s educational setting. This study is significant as it provides insights into the extent to which Artificial Intelligence is used in education and provides guidance for future plans. Examining the perceptions of the various stakeholders in an education setting in Oman provides valuable information for higher learning institutions that are keen on embracing new technology while keeping to the traditional education values. The study utilized focus group discussions to gather the data from the instructors, students, and administrative staff. The findings revealed that ChatGPT’s instrumental role is in refining content, especially among students, administrative staff, and instructors who are non-native English speakers. Administrative staff and instructors highlighted its efficacy in drafting emails, indicating Artificial Intelligence’s potential to improve routine cognitive tasks. Students appreciated ChatGPT for explaining complex academic tasks. However, concerns surface from the instructors regarding over-reliance on Artificial Intelligence and potential loss of academic integrity, resonating with previous literature. These findings are contextualized within Oman’s unique socio-cultural and educational settings. Given the emergent nature of Artificial Intelligence in Oman’s education, the study offers insights that provide a foundation for future research and guide policymaking.

Perceptions and attitudes of dental students and dentists in South Korea toward artificial intelligence: a subgroup analysis based on professional seniority

BackgroundThis study explored dental students’ and dentists’ perceptions and attitudes toward artificial intelligence (AI) and analyzed differences according to professional seniority.MethodsIn September to November 2022, online surveys using Google Forms were conducted at 2 dental colleges and on 2 dental websites. The questionnaire consisted of general information (8 or 10 items) and participants’ perceptions, confidence, predictions, and perceived future prospects regarding AI (17 items). A multivariate logistic regression analysis was performed on 4 questions representing perceptions and attitudes toward AI to identify highly influential factors according to position, age, sex, residence, and self-reported knowledge level about AI of respondents. Participants were reclassified into 2 subgroups based on students’ years in school and 4 subgroups based on dentists’ years of experience. The chi-square test or Fisher’s exact test was used to determine differences between dental students and dentists and between subgroups for all 17 questions.ResultsThe study included 120 dental students and 96 dentists. Participants with high level of AI knowledge were more likely to be interested in AI compared to those with moderate or low level (adjusted OR 24.345, p < 0.001). Most dental students (60.8%) and dentists (67.7%) predicted that dental AI would complement human limitations. Dental students responded that they would actively use AI in almost all cases (40.8%), while dentists responded that they would use AI only when necessary (44.8%). Dentists with 11–20 years of experience were the most likely to disagree that AI could outperform skilled dentists (50.0%), and respondents with longer careers had higher response rates regarding the need for AI education in schools.ConclusionsKnowledge level about AI emerged as the factor influencing perceptions and attitudes toward AI, with both dental students and dentists showing similar views on recognizing the potential of AI as an auxiliary tool. However, students’ and dentists’ willingness to use AI differed. Although dentists differed in their confidence in the abilities of AI, all dentists recognized the need for education on AI. AI adoption is becoming a reality in dentistry, which requires proper awareness, proper use, and comprehensive AI education.

Low-cost desktop learning factory to support the teaching of artificial intelligence

The following document details low-cost hardware and open-source available software tools that can be combined to support active teaching methodologies like Problem-Based Learning (PBL) and incorporate work-oriented technological skills in students. This proposal presents a prototype of Open Educational Resources (OER) that integrates software and hardware tools for the specific purpose of facilitating instruction in Artificial Intelligence. The hardware consists of affordable electronic devices, including an Arduino board, servo motors, sensors, a relay and a motor, all integrated into a scaled conveyor belt. On the other hand, open software was used to implement an image classification program with different features (shape, color, size, among others). The exact construction steps, circuits, and code are presented in detail and should encourage other scientists to replicate the experimental setup, especially if they are looking for experimental teaching of artificial intelligence, since the system allows object classification using the machine learning paradigm to facilitate the teaching of artificial intelligence concepts with computer vision concepts.

The impact and character of the use of artificial intelligence in education from the perspective of integrated teaching: elements for the debate

In the context of the rapid development of tools derived from Generative Artificial Intelligence (AI) and their gradual incorporation into education, various discussions and dilemmas arise regarding the use of these technologies in educational practices. The objective of this work, which presents a qualitative and exploratory approach, developed from a bibliographic research, is to identify and list some of the main concepts, categories, positive aspects, limits, and risks related to the use and implementation of AI in education, specifically in the teaching-learning process within formal educational environments, raising some perspectives and issues accumulated in this research field, which, from our point of view, is in a stage of construction. In this work, we adopt the ethical-political-pedagogical perspective of the constitution of so-called integrated teaching as the realization of an omnilateral and non-fragmented education project. For this purpose, we propose the following issue for discussion: does the gradual popularization of various AI tools in the teaching-learning process represent a positive trend or risks from the perspective of building an integrated education?

Landscapes of Sociotechnical Imaginaries in Education: A Theoretical Examination of Integrating Artificial Intelligence in Education

AbstractThe vision of integrating artificial intelligence in education is part of an ongoing push for harnessing digital solutions to improve teaching and learning. Drawing from Jasanoff (Future imperfect: Science, technology, and the imaginations of modernity. In S. Jasanoff, &amp; S. H. Kim (Eds.), Dreamscapes of modernity: Sociotechnical imaginaries and the fabrication of power (pp. 1–33). The University of Chicago Press, 2015. 10.7208/9780226276663) and Hasse (Socratic ignorance in processes of learning with technology. In H. Bound, A. Edwards, &amp; A. Chia (Eds.), Workplace learning for changing social and economic circumstances (pp. 76–90). Routledge, 2023), this paper deliberates on how sociotechnical imaginaries are interrelated to the implications of new technologies, such as AI, in education. Complicating Hasses’s (Socratic ignorance in processes of learning with technology. In H. Bound, A. Edwards, &amp; A. Chia (Eds.), Workplace learning for changing social and economic circumstances (pp. 76–90). Routledge, 2023) call for the development of Socratic ignorance to consider our predispositions about new technologies and open new prospects of thought, this paper revisits postphenomenology (Ihde, Technology and the lifeworld: From garden to earth. Indiana University Press, 1990; Ihde, Postphenomenology: Essays in the postmodern context. Northwestern University Press, 1993; Ihde, Postphenomenology and technoscience. The Peking University lectures. State University of New York Press, 2009) and Feenberg’s (Critical theory of technology, Oxford University Press, 1991; Between reason and experience, MIT Press, 2010; Techne: Res Philos Technol 24:27–40, 2020) critical constructivist theories. While embracing the notion of Socratic ignorance, this paper stresses the importance of developing a nuanced understanding of technology that realizes its lack of neutrality and supports the creation of a deeper understanding of how knowledge is produced, deployed, and interpreted in the digital age. Thus, this paper argues that an amalgam of Hasse’s call for advancing Socratic ignorance combined with postphenomenology and critical constructivism can support students in developing a critical understanding of technology and opening new landscapes of imaginaries.

Artificial Intelligence Curriculum Development for Intelligent System Experts in University

Artificial intelligence (AI) has emerged as a pivotal technology for enhancing national and industrial competitiveness in the digital transformation era. Consequently, the cultivation of specialized talent in AI has garnered significant attention. This study analyzed AI-related department curricula at major universities worldwide, identifying critical courses for each academic semester. The data we collected included course titles, syllabi, and learning objectives, which were refined and analyzed afterward. Furthermore, we comparatively examined university AI education programs based on the content of Computer Science Curricula 2023, a widely recognized framework for computer science education. The insights gleaned from our analysis revealed that AI curricula are built upon a foundation of computer science, emphasizing the importance of a deep understanding of various related domains within the field of computer science. Based on these findings, we proposed a curriculum for AI departments, considering the need for a comprehensive understanding of computer science alongside specialized AI courses. This study aims to provide foundational data for advancing AI education and guide educational program improvements. Ultimately, it aspires to contribute to developing specialized professionals in the AI field, thereby bolstering national and industrial competitiveness in the rapidly evolving digital landscape.

Artificial Intelligence in Education: Understanding Benefits, Limitations, and Prospects for the Future

The paper provides a comprehensive analysis of the use of artificial intelligence (AI) in education, focusing on its definition, advantages, disadvantages, and future prospects. It explores various applications of AI in education, such as chatbots, learning analytics, and intelligent tutoring systems. The study addresses key issues like data-driven decision-making, efficient administration, personalized learning opportunities, and potential ethical concerns. Furthermore, it discusses the future prospects of AI in education, including advancements in virtual reality integration, adaptive learning systems, and universal access to high-quality education.

Advancing AI education: Assessing Kenyan in-service teachers' preparedness for integrating artificial intelligence in competence-based curriculum

With the advancement of technology, emerging technologies like Artificial Intelligence (AI) have also been growing rapidly and becoming more common than ever before. Kenya has taken tremendous steps in adopting the use of emerging technology in different sectors of the economy. In realization of the need to have a skilled digital workforce to develop solutions using these emerging technologies, Kenya has undertaken curriculum reforms and introduced the Competency-Based Curriculum (CBC) which has included digital literacy and coding in elementary school. Furthermore, computer science has been introduced in Junior Secondary School. In view of these changes, teachers should be adequately prepared with knowledge, skills, and attitudes to effectively teach these new technologies. However, in Kenya, AI was not and still is not part of the teacher training curriculum. Additionally, there are inadequate professional development opportunities in AI for both pre-service and in-service teachers since AI is not part of the CBC curriculum. That notwithstanding, it is inevitable for teachers in the current world to introduce AI to learners. Therefore, this study's objectives were to assess the confidence in AI, attitudes toward AI, AI ethics, subjective norms, perceived threats, and the readiness to teach AI among Kenyan K-12 in-service teachers and to assess how these factors influence their readiness to teach AI. To achieve these objectives, this study employed a quantitative research methodology by administering a survey using Google Forms to a random sample of 308 teachers from different grades from 37 out of 47 counties in Kenya. The findings showed that confidence in AI, AI ethics and subjective norms significantly influenced AI readiness while attitude towards AI and perceived threats did not significantly influence AI readiness. These results are significant in providing a basis for education policy change on AI education in Kenya, such as transforming the teacher training curriculum to include AI and designing AI professional development programs for in-service teachers to ensure they are well-equipped to teach AI.

Artificial intelligence in education: analysis of dynamics, perception, and prospects for integration

This article delves into the intricate relationship between Artificial Intelligence (AI) and the educational ecosystem, particularly within higher education. It embarks on a detailed examination of how AI's integration influences teaching methodologies, learning experiences, and research processes while also casting a spotlight on the accompanying challenges and concerns. Specifically, it scrutinizes the repercussions on pedagogical communication and student engagement, underpinning its analysis with a study that encompasses an array of dimensions: the fluctuation in student populations and the density of higher educational institutions, the degree of digitalization within these entities, and comprehensive questionnaire responses from students that reveal their perceptions and attitudes towards AI's role in education. This study aims to explore the perspectives and experiences of a critical stakeholder group: students. By dedicating focused attention to both the opportunities and obstacles presented by AI in education, this study aims to foster a nuanced comprehension of its impact. It critically evaluates the potential benefits and drawbacks, equipping stakeholders with the insight needed to navigate the evolving educational landscape. Furthermore, this research aims to spotlight trends in digital competitiveness within the educational sector and propose strategic recommendations for achieving a harmonious balance between innovative and traditional pedagogical approaches. Such balance is pivotal for crafting forward-thinking educational strategies amidst the rapid integration of AI technologies. Through this comprehensive analysis, the study seeks to contribute to the broader discourse on optimizing AI's potential in education while mitigating its challenges, thereby supporting the advancement of an education system that is both innovative and inclusive.

AI ethics should be mandatory for schoolchildren

AbstractAs society increasingly integrates artificial intelligence (AI) into its fabric, AI ethics education in primary schools becomes necessary. Drawing parallels between the integration of foundational subjects such as languages and mathematics and the pressing need for AI literacy, we argue for mandatory, age-appropriate AI education focusing on technical proficiency and ethical implications. Analogous to how sex and drug education prepare youth for real-world challenges and decisions, AI education is crucial for equipping students to navigate an AI-driven future responsibly. Our study delineates the ethical pillars, such as data privacy and unbiased algorithms, essential for students to grasp, and presents a framework for AI literacy integration in elementary schools. What is needed is a comprehensive, dynamic, and evidence-based approach to AI education, to prepare students for an AI-driven future.

The role of artificial intelligence in building an adaptive educational environment

   Purpose: of the article is to study the influence of artificial intelligence on the construction of an adaptive educational environment that takes into account the positive and negative impact of artificial intelligence, as the core of digital technologies, on the well-being of participants in the educational process.   Methods: the work uses a complex of theoretical methods, including axiomatic, formalization, abstraction, logical analysis, historical retrospection. The most signifi cant practical research methods include statistical, operationalization and evaluation, comparative analysis.   Results: the article provides a statistical substantiation of the demand for artifi cial intelligence in the education. The current educational problems are shown, in solving which it is advisable to use artifi cial intelligence. The article describes the trends in the use of artificial intelligence in the Russian education. The interpretation of the adaptive educational environment is given and the possibilities of using artificial intelligence as a tool for its construction are shown. The logical sequence for constructing an adaptive intelligent teaching system is proposed. The analysis of the impact of digital technologies used in hybrid learning (including artifi cial intelligence) on the well-being of participants in the educational process was carried out. The need for a rational, balanced and cautious approach to the use of artifi cial intelligence in education is emphasized, which gives rise to numerous ethical problems, ignoring which can negatively aff ect the values of education.   Conclusions and Relevance: in the context of digitalization of the economy and society, the key technology of which is artifi cial intelligence, education is facing technological challenges that force it to adapt to new operating conditions. The penetration of artifi cial intelligence into the field of education is the pattern of scientific and technological progress that cannot be resisted. The positive aspects and threats of using artificial intelligence in education should be critically assessed, and informed decisions should be made on this basis. Considering the specifics of the educational environment in which the foundation of personality is laid, and the need to preserve the values of education as a factor of cultural progress, priority in goal-setting and the meanings of education should remain with a person whose assistant can be artifi cial intelligence.

Digital Competencies and Artificial Intelligence for Education: Transformation of the Education System

Digital Competencies and Artificial Intelligence for Education: Transformation of the Education System