Application of Artificial Intelligence in Education of Prosthodontics and Implant Dentistry: A Review.

The application of artificial intelligence in education is one of the focal research today. Researchers have discovered that with the continuous development of artificial intelligence, various artificial intelligence are being utilized in primary and secondary education. However, many issues in this field still lack a unified explanation and understanding. Therefore, the research theme of this paper focuses on the advantages and challenges of using artificial intelligence in education. Based on an analysis of relevant literature and survey data, this study explores the advantages and challenges of artificial intelligence in education. The research findings indicate that artificial intelligence can provide personalized education, offer abundant educational resources for teachers and students, and provide timely feedback on student progress. Thus, enhancing learning outcomes. However, the application of artificial intelligence in education still faces challenges such as funding limitations, inadequate policy support, privacy concerns, varying levels of teacher acceptance, and a lack of standardized curriculum. Nevertheless, the use of artificial intelligence in education holds tremendous potential. In the future, it is necessary to formulate policy and standardization at the national level and address issues such as information security and privacy protection to promote the comprehensive application and development of artificial intelligence in education.

The current study aims to reveal possible opportunities for applying artificial intelligence in higher education, and to identify the most important challenges that such application faces and the maximum benefits that can be acquired from employing artificial intelligence techniques in developing the educational process and the educational services in higher education institutions. This study followed the descriptive analytical approach in addressing the topic of applying artificial intelligence in higher education by reviewing the literature and previous studies that addressed this topic. The study concluded that it is possible to benefit from the application of artificial intelligence in higher education in the fields of teaching, learning, administration, research, and others, if the requirements of this application are dealt with effectively and the facilities that support the use of artificial intelligence techniques are provided. The study recommends confronting the challenges that weaken the effectiveness of the application of artificial intelligence in higher education. The most important challenges in this regard are: the lack of educational policies related to the application of artificial intelligence in education, the weakness of the infrastructure needed to supports the use of artificial intelligence techniques, the need to train academics and learners on how to deal with new applications, and the lack of due awareness of the importance of artificial intelligence applications and its role in developing higher education. KEY WORDS: artificial intelligence, higher education, opportunities, challenges, foreseeing the future

In order to explore the maturity of online concerts and the digital content of music resources, this article analyzes the role of artificial intelligence in music education, discusses the application of artificial intelligence in music education and the development trend of artificial intelligence in education, and studies the quality of vocal music teaching based on artificial intelligence technology. In this paper, ARM and SA algorithms, as well as internal and external probability algorithms, are combined for research and analysis. Through this study, the authors show that human intelligence skills have a certain impact on vocal music teaching, with an impact rate of 56.42%. It can be seen that artificial intelligence can directly optimize the level of music teachers and promote the improvement of teachers' teaching quality and efficiency. This article improves the effective understanding of artificial intelligence in music education and strengthens the scientific and rational application of artificial intelligence in education.

Today, artificial intelligence has penetrated all areas of human activity, including its technologies being actively implemented in the educational process. This article is devoted to issues related to the implementation of artificial intelligence in higher education. The purpose of this work was to determine the prospects and features of using artificial intelligence in the educational process of higher education. The novelty of the study lies in a comprehensive analysis of the areas of artificial intelligence use, its capabilities, risks, and limitations. The research methodology is based on a systems approach using theoretical and experimental methods. The article provides a brief analysis of the work of foreign and Russian researchers on the application of artificial intelligence. As part of the theoretical stage of the study: the main areas of artificial intelligence use are identified, which are systematized into three groups (educational process management, educational process organization, teacher optimization); the content and key benefits are determined for each group; the risks and limitations of using artificial intelligence in education are identified (technical, pedagogical, ethical, social and economic, legal). The experimental portion of the study involved conducting a survey among students and faculty at higher education institutions in the Trans-Baikal Territory and analyzing the results to determine the extent of artificial intelligence implementation in higher education and assess its impact on the educational process. The study demonstrated the need for careful implementation of artificial intelligence in higher education, maintaining a balance between technology and the human factor. Prospects for further research may include developing methods for the effective use of artificial intelligence in higher education.

The object of the study is the status, segment analysis, dynamics and prospects of the global markets for higher education and artificial intelligence in higher education. The analysis and systematization of literature data allowed to summarize the results of research in the field of marketing research of higher education markets and artificial intelligence in higher education. To conduct a marketing analysis, the method of literature search and the method of analysis were applied. The main trends, volumes, rates and factors of growth of the higher education and artificial intelligence markets in the field of higher education, as well as some limitations of their development are presented. The analysis of the higher education market is carried out by the following segments: geographical regions, mode of study, educational levels, sources of income, educational institutions, and the market of artificial intelligence in education – market components, deployment mode, technologies, applications, geographical regions. The potential demand and volume of higher education and artificial intelligence markets in the field of higher education in different countries of the world are determined, the dynamics and competition in the world markets are tracked. The state of the art and prospects for further research in the field of higher education and artificial intelligence in education are summarized. The following scientific methods were used: the method of searching for literature data on the topic under study; the method of analyzing literary sources; comparative analysis of different methodological approaches; content analysis of documents; the method of systematization and classification in conducting research on the achievements of modern science and technology in the field of higher education and the use of artificial intelligence in higher education. The systematization of literature data allowed to present the problems of higher education and the use of artificial intelligence in higher education in the form of tables and diagrams, which gives a certain advantage for understanding and using the material.

Introduction: Artificial Intelligence (AI) is reshaping education by facilitating adaptive, personalized, and data-informed learning experiences. Through intelligent tutoring systems, predictive analytics, and AI-powered feedback mechanisms, educators can tailor instruction to meet diverse learner needs while enhancing efficiency and engagement across both traditional and digital learning environments.Objective: this study aims to examine the effective use of artificial intelligence (AI) in education for promoting personalized learning, while upholding key ethical standards. Method: A short communication methodology was employed to synthesize recent developments in AI applications in education. Relevant literature published between 2018 and 2025 was identified through searches of databases including PubMed, Scopus, ResearchGate, and Google Scholar. Studies were selected based on criteria related to the use of AI in personalized learning, assessment, instructional design, and administrative automation. Data were thematically analyzed to evaluate the benefits, implementation strategies, and challenges associated with AI integration.Results: AI-driven tools were found to significantly enhance educational outcomes by enabling proactive (e.g., curriculum design, predictive enrollment analysis) and reactive (e.g., real-time tutoring, automated grading) engagement. Platforms like adaptive learning systems, intelligent tutoring tools, and AI-driven assessment software have enabled personalized learning experiences and eased administrative tasks. However, significant challenges persist, including concerns over data privacy, algorithmic bias, digital literacy gaps, and unequal access to technological infrastructure.Conclusion: AI technologies hold substantial promise in creating more personalized, inclusive, and effective educational ecosystems. By streamlining teaching processes and supporting learner-centered models, AI enhances both pedagogical impact and academic performance. However, ethical concerns and infrastructural barriers must be addressed to ensure responsible and sustainable adoption. Future efforts should focus on aligning AI development with equity, transparency, and accessibility in education.

One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. The application of artificial intelligence can address these issues.The present study aims to identify the key trends, knowledge gaps, and opportunities for further research into the economic effects of using artificial intelligence and ChatGPT tools in higher education. For this purpose, a systematic literature review was conducted to identify and screen the scientific articles related to the topic of this study indexed in Web of Science and Scopus from 1986 to 2024. A total of 234 articles were selected, all demonstrating positive growth both in scholarly output and citation count. The study identified the key contributors to scientific research on this topic by region (the United States, China, and India). It concluded that the relevant research centers are still at an early stage of their development. Based on bibliometric clusters formed by co-occurrence relations, three main areas of research were defined: 1) artificial intelligence in education for decision-making; 2) process automation and digital transformation in educational institutions; 3) artificial intelligence technologies and their application in education. The study highlights the main areas of economic effects of artificial intelligence and ChatGPT tools in higher education, including reducing administrative costs, saving time for teachers and students, and improving the quality and accessibility of educational process. AcknowledgmentsThe publication is part of the research topic “Economic Basics of Technology Diffusion into the National Economy of Ukraine Considering Best International Practices” (№0124U003482).

Innovation in higher education is essential to align teaching with technological developments. The use of artificial intelligence (AI) offers great potential to improve education management in higher education through optimizing the teaching and learning process. This research aims to explore how the integration of artificial intelligence in education management can improve the efficiency, effectiveness, and quality of students' learning experience in higher education. The research method includes a comparative analysis between conventional education management systems and systems that utilize artificial intelligence, as well as the implementation of AI technology in the decision-making process in higher education. The results show that the application of artificial intelligence can improve the ability of prediction, data analysis, adaptation, and personalization in curriculum management, student performance evaluation, and the provision of learning resources tailored to individual needs. Artificial intelligence in education management in higher education has opened up various opportunities. Artificial intelligence enables personalization of learning. In addition, the use of artificial intelligence in administration has also improved the efficiency of resource management and administrative processes. The conclusion of this study states that the utilization of artificial intelligence in educational management in higher education can bring about positive changes. By effectively utilizing artificial intelligence technology, universities can improve students' learning experience and optimize administrative efficiency, better preparing students for future challenges. It can also manage education in higher education to create a more adaptive, responsive, and innovative learning environment, which in turn can improve the overall quality of higher education.

The use of Artificial Intelligence (AI) in education is a rapidly evolving field with the potential to transform teaching and learning. However, its implementation brings various ethical and practical challenges that must be carefully considered. Key aspects include ensuring student data privacy, promoting fairness and inclusivity in access to technology, maintaining transparency in AI algorithms and decision-making processes, and determining the appropriate levels of human control. Furthermore, accessibility for all students, including those with special needs, must be prioritized, alongside evaluating the potential long-term effects on cognitive, social, and emotional development. Given the complexity of these issues, a thoughtful and ethical approach to integrating AI into education requires ongoing collaboration among various stakeholders, including educators, AI developers, policymakers, students, and the broader community. The goal of this collaboration is to ensure that AI is used in ways that not only improve educational outcomes but also uphold fairness, equity, and transparency. It is crucial to address concerns such as data privacy, algorithmic bias, and the potential negative effects of AI on vulnerable groups to ensure the technology serves as an inclusive tool for education. This research adopts a qualitative approach to explore the different aspects of AI in education, aiming to identify and analyze its potential benefits. By examining the implications of AI integration, the study seeks to provide valuable insights into how AI can be effectively and ethically applied in education, ensuring it enhances learning while respecting core educational values and human dignity.

This research aims to critically examine the ethical integration of artificial intelligence (AI) in education through the perspective of maqāṣid al-sharīʿah, emphasizing the alignment between technological innovation and Islamic moral principles. The methods used are a systematic literature review and thematic content analysis against peer-reviewed publications for the period 2015–2025, which discuss the application of AI in primary, secondary, and higher education. The study identified dominant ethical issues, such as data privacy, algorithmic bias, accountability, human agency, and moral development, which were then mapped to Islamic ethical goals, including ʿadl (justice), amānah (belief), karāmah al-insān (human dignity), and ḥifẓ al-ʿaql (protection of reason). The results of the analysis show that the adoption of AI in education often emphasizes efficiency, personalization, and predictive analytics, but has the potential to reduce learners' autonomy and ethical reasoning. The mapping of maqāṣid al-sharīʿah shows a strong normative conformity, so that Islamic principles can be a moral foundation as well as a practical guide for AI governance. The research contribution is theoretical by bridging the literature on AI ethics and Islamic educational philosophy, as well as practical by offering an integrative framework for AI policymakers, educators, and developers. The integration of maqāṣid al-sharīʿah in AI governance ensures justice, trust, inclusivity, and the development of the whole human being (insān kāmil).

The world we live in has been radically changed by technology in recent decades. The field of artificial intelligence (AI) in education (AIEd) has developed into a sizable literature collection with a variety of viewpoints. The use of artificial intelligence in educational applications is growing in popularity, posing both benefits and difficulties for the classroom. This study aims to provide a comprehensive understanding of the current conceptual framework of AIEd and explore the future vision for this technology. The study aims to investigate the opportunities that AI technology offers to enhance teaching and learning, identify challenges in this field and outline the future vision for AI technology, and examine the learning outcomes for teachers and students influenced by AI technology. This method can offer a thorough understanding of the conceptual framework and the long-term goals for this area of technology. For a comprehensive literature evaluation, we chose 35 empirical research publications that included AIEd applications, study themes, and other aspects of the research design, including the general AIEd research field, AIED applications, research topics, and future vision including future benefits, opportunities, threats, and challenges. Although AIEd-based settings are improving student learning, research indicates that tailored learning is still in its early stages. Lack of money and moral dilemmas are obstacles. AIEd's benefits include the fact that AI chatbots and applications facilitate learning, but they also have drawbacks. Additionally, AI apps improved engagement through interactive features, promoted well-being with components and continual availability, and spurred creativity by offering new ideas and problem-solving strategies. While encouraging creativity and increasing participation have many advantages, there are also important obstacles that need to be overcome, such as limits on creativity and moral dilemmas. To maximize the use of AI in education, these elements must be balanced through careful deployment and ongoing assessment.

Artificial intelligence (AI) is rapidly entering various sectors of the economy, including in the education. AI applications are gradually starting to transform the way we learn and teach, offering both advantages and disadvantages. The purpose of the publication is to investigate the degree of use of artificial intelligence in Bulgarian educational institutions – schools and universities. To achieve the goal, the following main tasks are set: to make a literature review of scientific and specialized literature on the specifics of using artificial intelligence in education; to conduct a survey in secondary schools and universities regarding the degree of use of artificial intelligence in Bulgarian education; to bring out advantages and disadvantages of the use of artificial intelligence in education.

Objective: This paper aims to critically analyze the role of Artificial Intelligence (AI) in Education 5.0, focusing on its opportunities and challenges. It explores technological advancements in AI, their applications in educational settings, and the paradigm shift towards personalization and adaptive learning, while examining ethical considerations inherent in integrating AI into education. Method: The research employs a qualitative analysis of existing literature spanning a period of five years. This involves reviewing case studies, industry reports, and empirical evidence on the implementation and impact of AI technologies in educational contexts. The study covers various aspects of AI applications, including AI algorithms in educational content curation, machine learning in student assessment, and natural language processing in language learning. Results: The findings reveal that AI significantly enhances educational experiences by enabling personalized and adaptive learning, improving student engagement, and providing tailored feedback. AI algorithms have transformed educational content curation, while machine learning has revolutionized student assessments by providing nuanced evaluations and predictive analytics. Natural language processing has advanced language learning by offering interactive and immersive experiences. However, the study also highlights challenges such as data privacy, algorithmic bias, and the digital divide. Ensuring robust data protection, addressing bias in AI systems, and improving digital infrastructure are essential to maximizing the benefits of AI in education. Conclusions: AI's integration into Education 5.0 presents both significant opportunities and substantial challenges. While AI has the potential to revolutionize education through enhanced personalization and efficiency, it also raises ethical and accessibility concerns. The study emphasizes the need for balanced approaches that leverage AI's strengths while mitigating its risks. Collaboration among educators, policymakers, and technologists is crucial to ensure that the benefits of AI in education are equitably distributed and ethically aligned with societal values.

Objective: This paper aims to critically analyze the role of Artificial Intelligence (AI) in Education 5.0, focusing on its opportunities and challenges. It explores technological advancements in AI, their applications in educational settings, and the paradigm shift towards personalization and adaptive learning, while examining ethical considerations inherent in integrating AI into education. Method: The research employs a qualitative analysis of existing literature spanning a period of five years. This involves reviewing case studies, industry reports, and empirical evidence on the implementation and impact of AI technologies in educational contexts. The study covers various aspects of AI applications, including AI algorithms in educational content curation, machine learning in student assessment, and natural language processing in language learning. Results: The findings reveal that AI significantly enhances educational experiences by enabling personalized and adaptive learning, improving student engagement, and providing tailored feedback. AI algorithms have transformed educational content curation, while machine learning has revolutionized student assessments by providing nuanced evaluations and predictive analytics. Natural language processing has advanced language learning by offering interactive and immersive experiences. However, the study also highlights challenges such as data privacy, algorithmic bias, and the digital divide. Ensuring robust data protection, addressing bias in AI systems, and improving digital infrastructure are essential to maximizing the benefits of AI in education. Conclusions: AI's integration into Education 5.0 presents both significant opportunities and substantial challenges. While AI has the potential to revolutionize education through enhanced personalization and efficiency, it also raises ethical and accessibility concerns. The study emphasizes the need for balanced approaches that leverage AI's strengths while mitigating its risks. Collaboration among educators, policymakers, and technologists is crucial to ensure that the benefits of AI in education are equitably distributed and ethically aligned with societal values.

Artificial intelligence technology plays a decisive role in various spheres of life, including education. Modern preschools are faced with the need to adapt to the requirements of the modern world, where technology is a mandatory component. The article defines the regulatory and legal principles of using artificial intelligence technologies in the field of education. Based on the study and systematization of the results of scientific research, directions and methods of using artificial intelligence in the educational field have been identified. Scientific-pedagogical guidelines for the use of generative models of artificial intelligence in a preschool education institution are justified from the author's point of view. Modern possibilities of using artificial intelligence technology in the educational process of a preschool education institution are presented, in particular, the features of using artificial intelligence by parents of preschool children. Also, practical aspects of the use of artificial intelligence by specialists in a preschool education institution are proposed, in particular, ChatGPT, Quillbot, Google Gemini, Vocal Remover. The importance of the right approach to the implementation of artificial intelligence in the educational process to ensure efficiency and safety for children is emphasized. The results of the surveys of parents of preschoolers and specialists of preschool education institutions regarding the potential of using artificial intelligence in preschool education for the development of children are summarized, which requires a careful approach and cooperation between teachers, parents, and the administration of preschool education institutions. The use of artificial intelligence in preschool education is a promising direction that can provide support for preschool education specialists, make the learning process more interesting for children, and contribute to their intellectual development. Therefore, research and development of practices for the use of artificial intelligence in preschool education is an important component of the effective implementation of these technologies.